interview and survey research methods

Chapter 11. Interviewing

Introduction.

Interviewing people is at the heart of qualitative research. It is not merely a way to collect data but an intrinsically rewarding activity—an interaction between two people that holds the potential for greater understanding and interpersonal development. Unlike many of our daily interactions with others that are fairly shallow and mundane, sitting down with a person for an hour or two and really listening to what they have to say is a profound and deep enterprise, one that can provide not only “data” for you, the interviewer, but also self-understanding and a feeling of being heard for the interviewee. I always approach interviewing with a deep appreciation for the opportunity it gives me to understand how other people experience the world. That said, there is not one kind of interview but many, and some of these are shallower than others. This chapter will provide you with an overview of interview techniques but with a special focus on the in-depth semistructured interview guide approach, which is the approach most widely used in social science research.

An interview can be variously defined as “a conversation with a purpose” ( Lune and Berg 2018 ) and an attempt to understand the world from the point of view of the person being interviewed: “to unfold the meaning of peoples’ experiences, to uncover their lived world prior to scientific explanations” ( Kvale 2007 ). It is a form of active listening in which the interviewer steers the conversation to subjects and topics of interest to their research but also manages to leave enough space for those interviewed to say surprising things. Achieving that balance is a tricky thing, which is why most practitioners believe interviewing is both an art and a science. In my experience as a teacher, there are some students who are “natural” interviewers (often they are introverts), but anyone can learn to conduct interviews, and everyone, even those of us who have been doing this for years, can improve their interviewing skills. This might be a good time to highlight the fact that the interview is a product between interviewer and interviewee and that this product is only as good as the rapport established between the two participants. Active listening is the key to establishing this necessary rapport.

Patton ( 2002 ) makes the argument that we use interviews because there are certain things that are not observable. In particular, “we cannot observe feelings, thoughts, and intentions. We cannot observe behaviors that took place at some previous point in time. We cannot observe situations that preclude the presence of an observer. We cannot observe how people have organized the world and the meanings they attach to what goes on in the world. We have to ask people questions about those things” ( 341 ).

Types of Interviews

There are several distinct types of interviews. Imagine a continuum (figure 11.1). On one side are unstructured conversations—the kind you have with your friends. No one is in control of those conversations, and what you talk about is often random—whatever pops into your head. There is no secret, underlying purpose to your talking—if anything, the purpose is to talk to and engage with each other, and the words you use and the things you talk about are a little beside the point. An unstructured interview is a little like this informal conversation, except that one of the parties to the conversation (you, the researcher) does have an underlying purpose, and that is to understand the other person. You are not friends speaking for no purpose, but it might feel just as unstructured to the “interviewee” in this scenario. That is one side of the continuum. On the other side are fully structured and standardized survey-type questions asked face-to-face. Here it is very clear who is asking the questions and who is answering them. This doesn’t feel like a conversation at all! A lot of people new to interviewing have this ( erroneously !) in mind when they think about interviews as data collection. Somewhere in the middle of these two extreme cases is the “ semistructured” interview , in which the researcher uses an “interview guide” to gently move the conversation to certain topics and issues. This is the primary form of interviewing for qualitative social scientists and will be what I refer to as interviewing for the rest of this chapter, unless otherwise specified.

Informal (unstructured conversations). This is the most “open-ended” approach to interviewing. It is particularly useful in conjunction with observational methods (see chapters 13 and 14). There are no predetermined questions. Each interview will be different. Imagine you are researching the Oregon Country Fair, an annual event in Veneta, Oregon, that includes live music, artisan craft booths, face painting, and a lot of people walking through forest paths. It’s unlikely that you will be able to get a person to sit down with you and talk intensely about a set of questions for an hour and a half. But you might be able to sidle up to several people and engage with them about their experiences at the fair. You might have a general interest in what attracts people to these events, so you could start a conversation by asking strangers why they are here or why they come back every year. That’s it. Then you have a conversation that may lead you anywhere. Maybe one person tells a long story about how their parents brought them here when they were a kid. A second person talks about how this is better than Burning Man. A third person shares their favorite traveling band. And yet another enthuses about the public library in the woods. During your conversations, you also talk about a lot of other things—the weather, the utilikilts for sale, the fact that a favorite food booth has disappeared. It’s all good. You may not be able to record these conversations. Instead, you might jot down notes on the spot and then, when you have the time, write down as much as you can remember about the conversations in long fieldnotes. Later, you will have to sit down with these fieldnotes and try to make sense of all the information (see chapters 18 and 19).

Interview guide ( semistructured interview ). This is the primary type employed by social science qualitative researchers. The researcher creates an “interview guide” in advance, which she uses in every interview. In theory, every person interviewed is asked the same questions. In practice, every person interviewed is asked mostly the same topics but not always the same questions, as the whole point of a “guide” is that it guides the direction of the conversation but does not command it. The guide is typically between five and ten questions or question areas, sometimes with suggested follow-ups or prompts . For example, one question might be “What was it like growing up in Eastern Oregon?” with prompts such as “Did you live in a rural area? What kind of high school did you attend?” to help the conversation develop. These interviews generally take place in a quiet place (not a busy walkway during a festival) and are recorded. The recordings are transcribed, and those transcriptions then become the “data” that is analyzed (see chapters 18 and 19). The conventional length of one of these types of interviews is between one hour and two hours, optimally ninety minutes. Less than one hour doesn’t allow for much development of questions and thoughts, and two hours (or more) is a lot of time to ask someone to sit still and answer questions. If you have a lot of ground to cover, and the person is willing, I highly recommend two separate interview sessions, with the second session being slightly shorter than the first (e.g., ninety minutes the first day, sixty minutes the second). There are lots of good reasons for this, but the most compelling one is that this allows you to listen to the first day’s recording and catch anything interesting you might have missed in the moment and so develop follow-up questions that can probe further. This also allows the person being interviewed to have some time to think about the issues raised in the interview and go a little deeper with their answers.

Standardized questionnaire with open responses ( structured interview ). This is the type of interview a lot of people have in mind when they hear “interview”: a researcher comes to your door with a clipboard and proceeds to ask you a series of questions. These questions are all the same whoever answers the door; they are “standardized.” Both the wording and the exact order are important, as people’s responses may vary depending on how and when a question is asked. These are qualitative only in that the questions allow for “open-ended responses”: people can say whatever they want rather than select from a predetermined menu of responses. For example, a survey I collaborated on included this open-ended response question: “How does class affect one’s career success in sociology?” Some of the answers were simply one word long (e.g., “debt”), and others were long statements with stories and personal anecdotes. It is possible to be surprised by the responses. Although it’s a stretch to call this kind of questioning a conversation, it does allow the person answering the question some degree of freedom in how they answer.

Survey questionnaire with closed responses (not an interview!). Standardized survey questions with specific answer options (e.g., closed responses) are not really interviews at all, and they do not generate qualitative data. For example, if we included five options for the question “How does class affect one’s career success in sociology?”—(1) debt, (2) social networks, (3) alienation, (4) family doesn’t understand, (5) type of grad program—we leave no room for surprises at all. Instead, we would most likely look at patterns around these responses, thinking quantitatively rather than qualitatively (e.g., using regression analysis techniques, we might find that working-class sociologists were twice as likely to bring up alienation). It can sometimes be confusing for new students because the very same survey can include both closed-ended and open-ended questions. The key is to think about how these will be analyzed and to what level surprises are possible. If your plan is to turn all responses into a number and make predictions about correlations and relationships, you are no longer conducting qualitative research. This is true even if you are conducting this survey face-to-face with a real live human. Closed-response questions are not conversations of any kind, purposeful or not.

In summary, the semistructured interview guide approach is the predominant form of interviewing for social science qualitative researchers because it allows a high degree of freedom of responses from those interviewed (thus allowing for novel discoveries) while still maintaining some connection to a research question area or topic of interest. The rest of the chapter assumes the employment of this form.

Creating an Interview Guide

Your interview guide is the instrument used to bridge your research question(s) and what the people you are interviewing want to tell you. Unlike a standardized questionnaire, the questions actually asked do not need to be exactly what you have written down in your guide. The guide is meant to create space for those you are interviewing to talk about the phenomenon of interest, but sometimes you are not even sure what that phenomenon is until you start asking questions. A priority in creating an interview guide is to ensure it offers space. One of the worst mistakes is to create questions that are so specific that the person answering them will not stray. Relatedly, questions that sound “academic” will shut down a lot of respondents. A good interview guide invites respondents to talk about what is important to them, not feel like they are performing or being evaluated by you.

Good interview questions should not sound like your “research question” at all. For example, let’s say your research question is “How do patriarchal assumptions influence men’s understanding of climate change and responses to climate change?” It would be worse than unhelpful to ask a respondent, “How do your assumptions about the role of men affect your understanding of climate change?” You need to unpack this into manageable nuggets that pull your respondent into the area of interest without leading him anywhere. You could start by asking him what he thinks about climate change in general. Or, even better, whether he has any concerns about heatwaves or increased tornadoes or polar icecaps melting. Once he starts talking about that, you can ask follow-up questions that bring in issues around gendered roles, perhaps asking if he is married (to a woman) and whether his wife shares his thoughts and, if not, how they negotiate that difference. The fact is, you won’t really know the right questions to ask until he starts talking.

There are several distinct types of questions that can be used in your interview guide, either as main questions or as follow-up probes. If you remember that the point is to leave space for the respondent, you will craft a much more effective interview guide! You will also want to think about the place of time in both the questions themselves (past, present, future orientations) and the sequencing of the questions.

Researcher Note

Suggestion : As you read the next three sections (types of questions, temporality, question sequence), have in mind a particular research question, and try to draft questions and sequence them in a way that opens space for a discussion that helps you answer your research question.

Type of Questions

Experience and behavior questions ask about what a respondent does regularly (their behavior) or has done (their experience). These are relatively easy questions for people to answer because they appear more “factual” and less subjective. This makes them good opening questions. For the study on climate change above, you might ask, “Have you ever experienced an unusual weather event? What happened?” Or “You said you work outside? What is a typical summer workday like for you? How do you protect yourself from the heat?”

Opinion and values questions , in contrast, ask questions that get inside the minds of those you are interviewing. “Do you think climate change is real? Who or what is responsible for it?” are two such questions. Note that you don’t have to literally ask, “What is your opinion of X?” but you can find a way to ask the specific question relevant to the conversation you are having. These questions are a bit trickier to ask because the answers you get may depend in part on how your respondent perceives you and whether they want to please you or not. We’ve talked a fair amount about being reflective. Here is another place where this comes into play. You need to be aware of the effect your presence might have on the answers you are receiving and adjust accordingly. If you are a woman who is perceived as liberal asking a man who identifies as conservative about climate change, there is a lot of subtext that can be going on in the interview. There is no one right way to resolve this, but you must at least be aware of it.

Feeling questions are questions that ask respondents to draw on their emotional responses. It’s pretty common for academic researchers to forget that we have bodies and emotions, but people’s understandings of the world often operate at this affective level, sometimes unconsciously or barely consciously. It is a good idea to include questions that leave space for respondents to remember, imagine, or relive emotional responses to particular phenomena. “What was it like when you heard your cousin’s house burned down in that wildfire?” doesn’t explicitly use any emotion words, but it allows your respondent to remember what was probably a pretty emotional day. And if they respond emotionally neutral, that is pretty interesting data too. Note that asking someone “How do you feel about X” is not always going to evoke an emotional response, as they might simply turn around and respond with “I think that…” It is better to craft a question that actually pushes the respondent into the affective category. This might be a specific follow-up to an experience and behavior question —for example, “You just told me about your daily routine during the summer heat. Do you worry it is going to get worse?” or “Have you ever been afraid it will be too hot to get your work accomplished?”

Knowledge questions ask respondents what they actually know about something factual. We have to be careful when we ask these types of questions so that respondents do not feel like we are evaluating them (which would shut them down), but, for example, it is helpful to know when you are having a conversation about climate change that your respondent does in fact know that unusual weather events have increased and that these have been attributed to climate change! Asking these questions can set the stage for deeper questions and can ensure that the conversation makes the same kind of sense to both participants. For example, a conversation about political polarization can be put back on track once you realize that the respondent doesn’t really have a clear understanding that there are two parties in the US. Instead of asking a series of questions about Republicans and Democrats, you might shift your questions to talk more generally about political disagreements (e.g., “people against abortion”). And sometimes what you do want to know is the level of knowledge about a particular program or event (e.g., “Are you aware you can discharge your student loans through the Public Service Loan Forgiveness program?”).

Sensory questions call on all senses of the respondent to capture deeper responses. These are particularly helpful in sparking memory. “Think back to your childhood in Eastern Oregon. Describe the smells, the sounds…” Or you could use these questions to help a person access the full experience of a setting they customarily inhabit: “When you walk through the doors to your office building, what do you see? Hear? Smell?” As with feeling questions , these questions often supplement experience and behavior questions . They are another way of allowing your respondent to report fully and deeply rather than remain on the surface.

Creative questions employ illustrative examples, suggested scenarios, or simulations to get respondents to think more deeply about an issue, topic, or experience. There are many options here. In The Trouble with Passion , Erin Cech ( 2021 ) provides a scenario in which “Joe” is trying to decide whether to stay at his decent but boring computer job or follow his passion by opening a restaurant. She asks respondents, “What should Joe do?” Their answers illuminate the attraction of “passion” in job selection. In my own work, I have used a news story about an upwardly mobile young man who no longer has time to see his mother and sisters to probe respondents’ feelings about the costs of social mobility. Jessi Streib and Betsy Leondar-Wright have used single-page cartoon “scenes” to elicit evaluations of potential racial discrimination, sexual harassment, and classism. Barbara Sutton ( 2010 ) has employed lists of words (“strong,” “mother,” “victim”) on notecards she fans out and asks her female respondents to select and discuss.

Background/Demographic Questions

You most definitely will want to know more about the person you are interviewing in terms of conventional demographic information, such as age, race, gender identity, occupation, and educational attainment. These are not questions that normally open up inquiry. [1] For this reason, my practice has been to include a separate “demographic questionnaire” sheet that I ask each respondent to fill out at the conclusion of the interview. Only include those aspects that are relevant to your study. For example, if you are not exploring religion or religious affiliation, do not include questions about a person’s religion on the demographic sheet. See the example provided at the end of this chapter.

Temporality

Any type of question can have a past, present, or future orientation. For example, if you are asking a behavior question about workplace routine, you might ask the respondent to talk about past work, present work, and ideal (future) work. Similarly, if you want to understand how people cope with natural disasters, you might ask your respondent how they felt then during the wildfire and now in retrospect and whether and to what extent they have concerns for future wildfire disasters. It’s a relatively simple suggestion—don’t forget to ask about past, present, and future—but it can have a big impact on the quality of the responses you receive.

Question Sequence

Having a list of good questions or good question areas is not enough to make a good interview guide. You will want to pay attention to the order in which you ask your questions. Even though any one respondent can derail this order (perhaps by jumping to answer a question you haven’t yet asked), a good advance plan is always helpful. When thinking about sequence, remember that your goal is to get your respondent to open up to you and to say things that might surprise you. To establish rapport, it is best to start with nonthreatening questions. Asking about the present is often the safest place to begin, followed by the past (they have to know you a little bit to get there), and lastly, the future (talking about hopes and fears requires the most rapport). To allow for surprises, it is best to move from very general questions to more particular questions only later in the interview. This ensures that respondents have the freedom to bring up the topics that are relevant to them rather than feel like they are constrained to answer you narrowly. For example, refrain from asking about particular emotions until these have come up previously—don’t lead with them. Often, your more particular questions will emerge only during the course of the interview, tailored to what is emerging in conversation.

Once you have a set of questions, read through them aloud and imagine you are being asked the same questions. Does the set of questions have a natural flow? Would you be willing to answer the very first question to a total stranger? Does your sequence establish facts and experiences before moving on to opinions and values? Did you include prefatory statements, where necessary; transitions; and other announcements? These can be as simple as “Hey, we talked a lot about your experiences as a barista while in college.… Now I am turning to something completely different: how you managed friendships in college.” That is an abrupt transition, but it has been softened by your acknowledgment of that.

Probes and Flexibility

Once you have the interview guide, you will also want to leave room for probes and follow-up questions. As in the sample probe included here, you can write out the obvious probes and follow-up questions in advance. You might not need them, as your respondent might anticipate them and include full responses to the original question. Or you might need to tailor them to how your respondent answered the question. Some common probes and follow-up questions include asking for more details (When did that happen? Who else was there?), asking for elaboration (Could you say more about that?), asking for clarification (Does that mean what I think it means or something else? I understand what you mean, but someone else reading the transcript might not), and asking for contrast or comparison (How did this experience compare with last year’s event?). “Probing is a skill that comes from knowing what to look for in the interview, listening carefully to what is being said and what is not said, and being sensitive to the feedback needs of the person being interviewed” ( Patton 2002:374 ). It takes work! And energy. I and many other interviewers I know report feeling emotionally and even physically drained after conducting an interview. You are tasked with active listening and rearranging your interview guide as needed on the fly. If you only ask the questions written down in your interview guide with no deviations, you are doing it wrong. [2]

The Final Question

Every interview guide should include a very open-ended final question that allows for the respondent to say whatever it is they have been dying to tell you but you’ve forgotten to ask. About half the time they are tired too and will tell you they have nothing else to say. But incredibly, some of the most honest and complete responses take place here, at the end of a long interview. You have to realize that the person being interviewed is often discovering things about themselves as they talk to you and that this process of discovery can lead to new insights for them. Making space at the end is therefore crucial. Be sure you convey that you actually do want them to tell you more, that the offer of “anything else?” is not read as an empty convention where the polite response is no. Here is where you can pull from that active listening and tailor the final question to the particular person. For example, “I’ve asked you a lot of questions about what it was like to live through that wildfire. I’m wondering if there is anything I’ve forgotten to ask, especially because I haven’t had that experience myself” is a much more inviting final question than “Great. Anything you want to add?” It’s also helpful to convey to the person that you have the time to listen to their full answer, even if the allotted time is at the end. After all, there are no more questions to ask, so the respondent knows exactly how much time is left. Do them the courtesy of listening to them!

Conducting the Interview

Once you have your interview guide, you are on your way to conducting your first interview. I always practice my interview guide with a friend or family member. I do this even when the questions don’t make perfect sense for them, as it still helps me realize which questions make no sense, are poorly worded (too academic), or don’t follow sequentially. I also practice the routine I will use for interviewing, which goes something like this:

• Introduce myself and reintroduce the study
• Provide consent form and ask them to sign and retain/return copy
• Ask if they have any questions about the study before we begin
• Ask if I can begin recording
• Ask questions (from interview guide)
• Turn off the recording device
• Ask if they are willing to fill out my demographic questionnaire
• Collect questionnaire and, without looking at the answers, place in same folder as signed consent form
• Thank them and depart

A note on remote interviewing: Interviews have traditionally been conducted face-to-face in a private or quiet public setting. You don’t want a lot of background noise, as this will make transcriptions difficult. During the recent global pandemic, many interviewers, myself included, learned the benefits of interviewing remotely. Although face-to-face is still preferable for many reasons, Zoom interviewing is not a bad alternative, and it does allow more interviews across great distances. Zoom also includes automatic transcription, which significantly cuts down on the time it normally takes to convert our conversations into “data” to be analyzed. These automatic transcriptions are not perfect, however, and you will still need to listen to the recording and clarify and clean up the transcription. Nor do automatic transcriptions include notations of body language or change of tone, which you may want to include. When interviewing remotely, you will want to collect the consent form before you meet: ask them to read, sign, and return it as an email attachment. I think it is better to ask for the demographic questionnaire after the interview, but because some respondents may never return it then, it is probably best to ask for this at the same time as the consent form, in advance of the interview.

What should you bring to the interview? I would recommend bringing two copies of the consent form (one for you and one for the respondent), a demographic questionnaire, a manila folder in which to place the signed consent form and filled-out demographic questionnaire, a printed copy of your interview guide (I print with three-inch right margins so I can jot down notes on the page next to relevant questions), a pen, a recording device, and water.

After the interview, you will want to secure the signed consent form in a locked filing cabinet (if in print) or a password-protected folder on your computer. Using Excel or a similar program that allows tables/spreadsheets, create an identifying number for your interview that links to the consent form without using the name of your respondent. For example, let’s say that I conduct interviews with US politicians, and the first person I meet with is George W. Bush. I will assign the transcription the number “INT#001” and add it to the signed consent form. [3] The signed consent form goes into a locked filing cabinet, and I never use the name “George W. Bush” again. I take the information from the demographic sheet, open my Excel spreadsheet, and add the relevant information in separate columns for the row INT#001: White, male, Republican. When I interview Bill Clinton as my second interview, I include a second row: INT#002: White, male, Democrat. And so on. The only link to the actual name of the respondent and this information is the fact that the consent form (unavailable to anyone but me) has stamped on it the interview number.

Many students get very nervous before their first interview. Actually, many of us are always nervous before the interview! But do not worry—this is normal, and it does pass. Chances are, you will be pleasantly surprised at how comfortable it begins to feel. These “purposeful conversations” are often a delight for both participants. This is not to say that sometimes things go wrong. I often have my students practice several “bad scenarios” (e.g., a respondent that you cannot get to open up; a respondent who is too talkative and dominates the conversation, steering it away from the topics you are interested in; emotions that completely take over; or shocking disclosures you are ill-prepared to handle), but most of the time, things go quite well. Be prepared for the unexpected, but know that the reason interviews are so popular as a technique of data collection is that they are usually richly rewarding for both participants.

One thing that I stress to my methods students and remind myself about is that interviews are still conversations between people. If there’s something you might feel uncomfortable asking someone about in a “normal” conversation, you will likely also feel a bit of discomfort asking it in an interview. Maybe more importantly, your respondent may feel uncomfortable. Social research—especially about inequality—can be uncomfortable. And it’s easy to slip into an abstract, intellectualized, or removed perspective as an interviewer. This is one reason trying out interview questions is important. Another is that sometimes the question sounds good in your head but doesn’t work as well out loud in practice. I learned this the hard way when a respondent asked me how I would answer the question I had just posed, and I realized that not only did I not really know how I would answer it, but I also wasn’t quite as sure I knew what I was asking as I had thought.

—Elizabeth M. Lee, Associate Professor of Sociology at Saint Joseph’s University, author of Class and Campus Life , and co-author of Geographies of Campus Inequality

How Many Interviews?

Your research design has included a targeted number of interviews and a recruitment plan (see chapter 5). Follow your plan, but remember that “ saturation ” is your goal. You interview as many people as you can until you reach a point at which you are no longer surprised by what they tell you. This means not that no one after your first twenty interviews will have surprising, interesting stories to tell you but rather that the picture you are forming about the phenomenon of interest to you from a research perspective has come into focus, and none of the interviews are substantially refocusing that picture. That is when you should stop collecting interviews. Note that to know when you have reached this, you will need to read your transcripts as you go. More about this in chapters 18 and 19.

Your Final Product: The Ideal Interview Transcript

A good interview transcript will demonstrate a subtly controlled conversation by the skillful interviewer. In general, you want to see replies that are about one paragraph long, not short sentences and not running on for several pages. Although it is sometimes necessary to follow respondents down tangents, it is also often necessary to pull them back to the questions that form the basis of your research study. This is not really a free conversation, although it may feel like that to the person you are interviewing.

Final Tips from an Interview Master

Annette Lareau is arguably one of the masters of the trade. In Listening to People , she provides several guidelines for good interviews and then offers a detailed example of an interview gone wrong and how it could be addressed (please see the “Further Readings” at the end of this chapter). Here is an abbreviated version of her set of guidelines: (1) interview respondents who are experts on the subjects of most interest to you (as a corollary, don’t ask people about things they don’t know); (2) listen carefully and talk as little as possible; (3) keep in mind what you want to know and why you want to know it; (4) be a proactive interviewer (subtly guide the conversation); (5) assure respondents that there aren’t any right or wrong answers; (6) use the respondent’s own words to probe further (this both allows you to accurately identify what you heard and pushes the respondent to explain further); (7) reuse effective probes (don’t reinvent the wheel as you go—if repeating the words back works, do it again and again); (8) focus on learning the subjective meanings that events or experiences have for a respondent; (9) don’t be afraid to ask a question that draws on your own knowledge (unlike trial lawyers who are trained never to ask a question for which they don’t already know the answer, sometimes it’s worth it to ask risky questions based on your hypotheses or just plain hunches); (10) keep thinking while you are listening (so difficult…and important); (11) return to a theme raised by a respondent if you want further information; (12) be mindful of power inequalities (and never ever coerce a respondent to continue the interview if they want out); (13) take control with overly talkative respondents; (14) expect overly succinct responses, and develop strategies for probing further; (15) balance digging deep and moving on; (16) develop a plan to deflect questions (e.g., let them know you are happy to answer any questions at the end of the interview, but you don’t want to take time away from them now); and at the end, (17) check to see whether you have asked all your questions. You don’t always have to ask everyone the same set of questions, but if there is a big area you have forgotten to cover, now is the time to recover ( Lareau 2021:93–103 ).

Sample: Demographic Questionnaire

ASA Taskforce on First-Generation and Working-Class Persons in Sociology – Class Effects on Career Success

Supplementary Demographic Questionnaire

Thank you for your participation in this interview project. We would like to collect a few pieces of key demographic information from you to supplement our analyses. Your answers to these questions will be kept confidential and stored by ID number. All of your responses here are entirely voluntary!

What best captures your race/ethnicity? (please check any/all that apply)

• White (Non Hispanic/Latina/o/x)
• Black or African American
• Hispanic, Latino/a/x of Spanish
• Asian or Asian American
• American Indian or Alaska Native
• Middle Eastern or North African
• Native Hawaiian or Pacific Islander
• Other : (Please write in: ________________)

What is your current position?

• Grad Student
• Full Professor

Please check any and all of the following that apply to you:

• I identify as a working-class academic
• I was the first in my family to graduate from college
• I grew up poor

What best reflects your gender?

• Transgender female/Transgender woman
• Transgender male/Transgender man
• Gender queer/ Gender nonconforming

Anything else you would like us to know about you?

Example: Interview Guide

In this example, follow-up prompts are italicized.  Note the sequence of questions.  That second question often elicits an entire life history , answering several later questions in advance.

Introduction Script/Question

Thank you for participating in our survey of ASA members who identify as first-generation or working-class.  As you may have heard, ASA has sponsored a taskforce on first-generation and working-class persons in sociology and we are interested in hearing from those who so identify.  Your participation in this interview will help advance our knowledge in this area.

• The first thing we would like to as you is why you have volunteered to be part of this study? What does it mean to you be first-gen or working class?  Why were you willing to be interviewed?
• How did you decide to become a sociologist?
• Can you tell me a little bit about where you grew up? ( prompts: what did your parent(s) do for a living?  What kind of high school did you attend?)
• Has this identity been salient to your experience? (how? How much?)
• How welcoming was your grad program? Your first academic employer?
• Why did you decide to pursue sociology at the graduate level?
• Did you experience culture shock in college? In graduate school?
• Has your FGWC status shaped how you’ve thought about where you went to school? debt? etc?
• Were you mentored? How did this work (not work)?  How might it?
• What did you consider when deciding where to go to grad school? Where to apply for your first position?
• What, to you, is a mark of career success? Have you achieved that success?  What has helped or hindered your pursuit of success?
• Do you think sociology, as a field, cares about prestige?
• Let’s talk a little bit about intersectionality. How does being first-gen/working class work alongside other identities that are important to you?
• What do your friends and family think about your career? Have you had any difficulty relating to family members or past friends since becoming highly educated?
• Do you have any debt from college/grad school? Are you concerned about this?  Could you explain more about how you paid for college/grad school?  (here, include assistance from family, fellowships, scholarships, etc.)
• (You’ve mentioned issues or obstacles you had because of your background.) What could have helped?  Or, who or what did? Can you think of fortuitous moments in your career?
• Do you have any regrets about the path you took?
• Is there anything else you would like to add? Anything that the Taskforce should take note of, that we did not ask you about here?

Further Readings

Britten, Nicky. 1995. “Qualitative Interviews in Medical Research.” BMJ: British Medical Journal 31(6999):251–253. A good basic overview of interviewing particularly useful for students of public health and medical research generally.

Corbin, Juliet, and Janice M. Morse. 2003. “The Unstructured Interactive Interview: Issues of Reciprocity and Risks When Dealing with Sensitive Topics.” Qualitative Inquiry 9(3):335–354. Weighs the potential benefits and harms of conducting interviews on topics that may cause emotional distress. Argues that the researcher’s skills and code of ethics should ensure that the interviewing process provides more of a benefit to both participant and researcher than a harm to the former.

Gerson, Kathleen, and Sarah Damaske. 2020. The Science and Art of Interviewing . New York: Oxford University Press. A useful guidebook/textbook for both undergraduates and graduate students, written by sociologists.

Kvale, Steiner. 2007. Doing Interviews . London: SAGE. An easy-to-follow guide to conducting and analyzing interviews by psychologists.

Lamont, Michèle, and Ann Swidler. 2014. “Methodological Pluralism and the Possibilities and Limits of Interviewing.” Qualitative Sociology 37(2):153–171. Written as a response to various debates surrounding the relative value of interview-based studies and ethnographic studies defending the particular strengths of interviewing. This is a must-read article for anyone seriously engaging in qualitative research!

Pugh, Allison J. 2013. “What Good Are Interviews for Thinking about Culture? Demystifying Interpretive Analysis.” American Journal of Cultural Sociology 1(1):42–68. Another defense of interviewing written against those who champion ethnographic methods as superior, particularly in the area of studying culture. A classic.

Rapley, Timothy John. 2001. “The ‘Artfulness’ of Open-Ended Interviewing: Some considerations in analyzing interviews.” Qualitative Research 1(3):303–323. Argues for the importance of “local context” of data production (the relationship built between interviewer and interviewee, for example) in properly analyzing interview data.

Weiss, Robert S. 1995. Learning from Strangers: The Art and Method of Qualitative Interview Studies . New York: Simon and Schuster. A classic and well-regarded textbook on interviewing. Because Weiss has extensive experience conducting surveys, he contrasts the qualitative interview with the survey questionnaire well; particularly useful for those trained in the latter.

• I say “normally” because how people understand their various identities can itself be an expansive topic of inquiry. Here, I am merely talking about collecting otherwise unexamined demographic data, similar to how we ask people to check boxes on surveys. ↵
• Again, this applies to “semistructured in-depth interviewing.” When conducting standardized questionnaires, you will want to ask each question exactly as written, without deviations! ↵
• I always include “INT” in the number because I sometimes have other kinds of data with their own numbering: FG#001 would mean the first focus group, for example. I also always include three-digit spaces, as this allows for up to 999 interviews (or, more realistically, allows for me to interview up to one hundred persons without having to reset my numbering system). ↵

A method of data collection in which the researcher asks the participant questions; the answers to these questions are often recorded and transcribed verbatim. There are many different kinds of interviews - see also semistructured interview , structured interview , and unstructured interview .

A document listing key questions and question areas for use during an interview.  It is used most often for semi-structured interviews.  A good interview guide may have no more than ten primary questions for two hours of interviewing, but these ten questions will be supplemented by probes and relevant follow-ups throughout the interview.  Most IRBs require the inclusion of the interview guide in applications for review.  See also interview and  semi-structured interview .

A data-collection method that relies on casual, conversational, and informal interviewing.  Despite its apparent conversational nature, the researcher usually has a set of particular questions or question areas in mind but allows the interview to unfold spontaneously.  This is a common data-collection technique among ethnographers.  Compare to the semi-structured or in-depth interview .

A form of interview that follows a standard guide of questions asked, although the order of the questions may change to match the particular needs of each individual interview subject, and probing “follow-up” questions are often added during the course of the interview.  The semi-structured interview is the primary form of interviewing used by qualitative researchers in the social sciences.  It is sometimes referred to as an “in-depth” interview.  See also interview and  interview guide .

The cluster of data-collection tools and techniques that involve observing interactions between people, the behaviors, and practices of individuals (sometimes in contrast to what they say about how they act and behave), and cultures in context.  Observational methods are the key tools employed by ethnographers and Grounded Theory .

Follow-up questions used in a semi-structured interview  to elicit further elaboration.  Suggested prompts can be included in the interview guide  to be used/deployed depending on how the initial question was answered or if the topic of the prompt does not emerge spontaneously.

A form of interview that follows a strict set of questions, asked in a particular order, for all interview subjects.  The questions are also the kind that elicits short answers, and the data is more “informative” than probing.  This is often used in mixed-methods studies, accompanying a survey instrument.  Because there is no room for nuance or the exploration of meaning in structured interviews, qualitative researchers tend to employ semi-structured interviews instead.  See also interview.

The point at which you can conclude data collection because every person you are interviewing, the interaction you are observing, or content you are analyzing merely confirms what you have already noted.  Achieving saturation is often used as the justification for the final sample size.

An interview variant in which a person’s life story is elicited in a narrative form.  Turning points and key themes are established by the researcher and used as data points for further analysis.

Introduction to Qualitative Research Methods Copyright © 2023 by Allison Hurst is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License , except where otherwise noted.

Interview vs Survey: Differences And Uses For Each One

Are you confused about which research method to use for your project? Do you wonder what the differences are between an interview and a survey? Look no further, as we explore the nuances of each method.

Interview and survey are both commonly used research methods. They are used to gather data, opinions, and insights from participants. However, the two methods are distinct in their approach and execution.

An interview is a method of research where a researcher asks questions to a participant in person, over the phone, or online. Interviews can be structured, semi-structured, or unstructured. The researcher can ask follow-up questions to clarify the participant’s answers, and the participant can provide detailed responses. Interviews are useful when the researcher wants to gain an in-depth understanding of a participant’s experiences, opinions, or beliefs.

On the other hand, a survey is a method of research where a researcher asks a set of questions to a large number of participants. Surveys can be conducted in person, over the phone, or online. Surveys are usually structured, with closed-ended questions that require the participant to select one or more responses from a list of options. Surveys are useful when the researcher wants to collect data from a large number of participants quickly and efficiently.

Now that we have a basic understanding of what interviews and surveys are, let’s explore their differences and similarities in more detail.

Define Interview

An interview is a method of gathering information from a person through a face-to-face conversation. It is a process of asking questions and receiving answers, often used in research or journalism to obtain insights and opinions from individuals. Interviews can be conducted in various settings, such as in-person, over the phone, or through video conferencing.

Interviews are typically structured and guided by the interviewer, who asks questions based on a predetermined set of topics. The interviewer may also ask follow-up questions to clarify or expand on the interviewee’s responses. Interviews can be either structured or unstructured, and can be conducted individually or in a group setting.

Define Survey

A survey is a method of gathering information from a group of people through a questionnaire or poll. Surveys are often used in research or marketing to collect data on opinions, attitudes, and behaviors of a target audience. Surveys can be conducted in various formats, such as online, paper-based, or over the phone.

Surveys are typically structured and consist of a set of questions that are designed to gather specific information. The questions can be open-ended or closed-ended, and can be either quantitative or qualitative in nature. Surveys can be conducted anonymously or with identifiable information, depending on the purpose of the survey and the preferences of the survey participants.

How To Properly Use The Words In A Sentence

In order to effectively communicate your research methods, it is important to understand the proper usage of the words “interview” and “survey” in a sentence. These two terms are often used interchangeably, but they actually have distinct meanings and applications.

How To Use “Interview” In A Sentence

An interview is a method of gathering information directly from a person or group of people. It involves asking questions and receiving answers in a conversational format. When using the word “interview” in a sentence, it is important to clarify who is being interviewed and for what purpose. Here are some examples:

• During my research project, I conducted interviews with several industry experts to gain insight into current trends and challenges.
• The journalist interviewed the CEO of the company to get their perspective on the recent merger.
• As part of the hiring process, the HR manager conducted interviews with several candidates to assess their qualifications and fit for the role.

Notice how each sentence specifies who is being interviewed and why. This helps to provide context and clarity for the reader.

How To Use “Survey” In A Sentence

A survey is a method of gathering information from a large group of people using a standardized set of questions. It is often used to collect data on opinions, attitudes, and behaviors. When using the word “survey” in a sentence, it is important to specify what kind of survey is being conducted and who the participants are. Here are some examples:

• We conducted a customer satisfaction survey to gather feedback on our products and services.
• The researchers administered a survey to high school students to gather data on their study habits.
• The city council conducted a survey of residents to gauge support for a new park in the community.

Again, each sentence provides context and clarity by specifying the type of survey and the participants involved.

More Examples Of Interview & Survey Used In Sentences

In order to further understand the differences between interviews and surveys, it is helpful to see examples of how these methods are used in sentences.

Examples Of Using Interview In A Sentence

• The journalist conducted an interview with the CEO of the company.
• The HR manager scheduled an interview with the top candidate for the job.
• The researcher conducted in-depth interviews with participants to gather qualitative data.
• The detective conducted a thorough interview with the witness to gather information about the crime.
• The talk show host conducted an interview with the celebrity to discuss their latest project.
• The admissions officer conducted an interview with the prospective student to learn more about their background and interests.
• The therapist conducted an interview with the patient to gather information about their mental health history.
• The coach conducted interviews with the players to get feedback on their performance.
• The focus group moderator conducted interviews with participants to gather feedback on a new product.
• The journalist interviewed several experts to get their opinions on the current political climate.

Examples Of Using Survey In A Sentence

• The marketing team sent out a survey to customers to gather feedback on their products.
• The teacher administered a survey to students to gather data on their learning preferences.
• The city council sent out a survey to residents to gather input on a proposed new park.
• The researcher conducted an online survey to gather quantitative data on a particular topic.
• The HR department sent out a survey to employees to gather feedback on their benefits package.
• The event planner sent out a survey to attendees to gather feedback on the event.
• The non-profit organization conducted a survey to gather data on the needs of their target population.
• The government agency sent out a survey to businesses to gather information on their operations.
• The university conducted a survey to gather data on student satisfaction with campus facilities.
• The market research firm conducted a survey to gather data on consumer preferences for a new product.

Common Mistakes To Avoid

When it comes to gathering information from individuals or groups, it’s easy to confuse the purpose and methodology of interviews and surveys. Here are some common mistakes to avoid:

Mistake #1: Using The Terms Interchangeably

Interviews and surveys are two distinct methods of data collection. Interviews involve a one-on-one conversation between the interviewer and the interviewee, while surveys are a set of questions that are distributed to a group of people to collect their responses. Using these terms interchangeably can lead to confusion and miscommunication.

Mistake #2: Failing To Choose The Right Method

Choosing the right method for data collection is crucial to obtaining accurate and useful results. Interviews are best suited for gathering in-depth information from a small sample size, while surveys are better for collecting data from a larger group of people. Failing to choose the right method can result in inaccurate or incomplete data.

Mistake #3: Asking Leading Or Biased Questions

Asking leading or biased questions can skew the results of both interviews and surveys. Leading questions are those that suggest a particular answer, while biased questions are those that are worded in a way that favors one response over another. To avoid these mistakes, it’s important to phrase questions in a neutral and unbiased manner.

Mistake #4: Failing To Pilot Test

Pilot testing is the process of testing a survey or interview on a small sample of participants before administering it to the larger group. Failing to pilot test can result in unclear or confusing questions, which can lead to inaccurate or incomplete data.

Tips To Avoid These Mistakes

• Clearly define the purpose and methodology of your data collection
• Choose the right method for your sample size and research question
• Phrase questions in a neutral and unbiased manner
• Pilot test your survey or interview on a small sample before administering it to the larger group

Context Matters

When it comes to choosing between an interview and a survey, the context in which they are used can play a crucial role. Depending on the specific circumstances, one method may be more effective than the other. Here are some examples of different contexts and how the choice between interview and survey might change:

1. Type Of Data Needed

The type of data needed can greatly influence the choice between an interview and a survey. If the data needed is qualitative in nature, an interview may be the better option. This is because interviews allow for more in-depth responses and the opportunity to ask follow-up questions. On the other hand, if the data needed is quantitative, a survey may be more appropriate. Surveys allow for large amounts of data to be collected quickly and easily, making them ideal for statistical analysis.

2. Time And Resources Available

The time and resources available can also impact the choice between an interview and a survey. Interviews can be time-consuming and require a skilled interviewer, which may not always be feasible. Surveys, on the other hand, can be conducted quickly and easily, making them a more practical option when time and resources are limited.

3. Target Audience

The target audience can also play a role in the choice between an interview and a survey. If the audience is highly specialized or difficult to reach, an interview may be the better option. This is because interviews allow for a more personal connection to be established, which can help to build rapport and encourage more honest and thoughtful responses. However, if the audience is large and diverse, a survey may be more appropriate. Surveys can be distributed to a large number of people, making them ideal for gathering data from a broad range of individuals.

4. Topic Of Study

The topic of study can also influence the choice between an interview and a survey. If the topic is sensitive or complex, an interview may be the better option. This is because interviews allow for more nuanced responses and the opportunity to explore complex issues in depth. However, if the topic is straightforward and easy to understand, a survey may be more appropriate. Surveys can quickly gather data on simple topics without the need for extensive explanation or discussion.

Overall, the choice between an interview and a survey depends on a variety of factors, including the type of data needed, time and resources available, target audience, and topic of study. By carefully considering these factors, researchers can choose the method that is best suited to their specific needs.

Exceptions To The Rules

While interviews and surveys are effective research methods, there are instances where the rules for using them may not apply. Here are some exceptions to keep in mind:

1. Small Sample Size

Surveys are typically used to gather data from a large group of people, but if the sample size is too small, the results may not be representative of the larger population. In this case, conducting interviews with a smaller group of people may provide more in-depth insights and a better understanding of the topic at hand.

2. Sensitive Topics

Some topics may be too sensitive for a survey, as respondents may not feel comfortable sharing their true thoughts and feelings. In this case, conducting interviews may be a better option, as it allows for a more personal and private conversation between the interviewer and the respondent.

3. Complex Questions

If the research question is complex and requires detailed explanations, surveys may not be the best option. Respondents may not fully understand the question or may not have enough space to provide a thorough answer. In this case, conducting interviews may be more appropriate, as it allows for follow-up questions and a deeper understanding of the respondent’s perspective.

4. Limited Access To Participants

In some cases, it may be difficult to gain access to the desired participants for a survey or interview. For example, if the research is focused on a specific group of people who are difficult to reach, such as homeless individuals or high-level executives, conducting interviews may be the only option. Surveys may not be effective in this case, as it may be difficult to obtain a representative sample.

5. Time Constraints

Surveys require time to design, distribute, and collect responses. If time is limited, conducting interviews may be a more efficient option, as it allows for immediate feedback and a quicker turnaround time. However, it is important to note that interviews may require more time to conduct and analyze the data.

While these exceptions may arise, it is important to carefully consider the research question and the desired outcomes before deciding on a research method. By doing so, researchers can ensure that they are using the most appropriate method for their specific needs.

Practice Exercises

In order to improve your understanding and usage of interviews and surveys, it is important to practice using them in sentences. Below are some practice exercises that will help you do just that:

Exercise 1: Fill In The Blank

Answer Key: survey, interview, interview, survey

Exercise 2: Identify The Method

Read each sentence below and identify whether it is describing an interview or a survey.

• The researcher asked participants a series of questions about their experiences with the product.
• The hiring manager met with the job candidate to discuss their qualifications and experience.
• The marketing team sent out a questionnaire to customers to gather feedback on the new ad campaign.
• The journalist spoke with the CEO of the company to get information for an article.

Answer Key: survey, interview, survey, interview

By completing these practice exercises, you will gain a better understanding of how to use interviews and surveys in context. Remember to consider the purpose and audience when deciding which method to use, and always be clear and concise in your questions or responses.

After exploring the differences between interviews and surveys, it is clear that each method has its own unique benefits and drawbacks. Interviews allow for more in-depth and personalized responses, but can be time-consuming and expensive. Surveys are efficient and cost-effective, but may not provide as much detail or personalization.

It is important for researchers and businesses to carefully consider their goals and resources when deciding which method to use. Additionally, it is crucial to ensure that questions are well-crafted and unbiased in order to obtain accurate and useful data.

Overall, both interviews and surveys can be valuable tools for gathering information and insights. By continuing to learn about grammar and language use, individuals can improve the effectiveness and clarity of their questions, leading to more successful research outcomes.

Shawn Manaher is the founder and CEO of The Content Authority. He’s one part content manager, one part writing ninja organizer, and two parts leader of top content creators. You don’t even want to know what he calls pancakes.

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• > The Cambridge Handbook of Research Methods in Clinical Psychology
• > Survey and Interview Methods

Book contents

• The Cambridge Handbook of Research Methods in Clinical Psychology
• Copyright page
• Contributors
• Acknowledgments
• Part I Clinical Psychological Science
• Part II Observational Approaches
• 4 The Conceptual Foundations of Descriptive Psychopathology
• 5 Survey and Interview Methods
• 6 Psychometrics in Clinical Psychological Research
• 7 Latent Variable Models in Clinical Psychology
• 8 Psychiatric Epidemiology Methods
• Part III Experimental and Biological Approaches
• Part IV Developmental Psychopathology and Longitudinal Methods
• Part V Intervention Approaches
• Part VI Intensive Longitudinal Designs
• Part VII General Analytic Considerations

5 - Survey and Interview Methods

from Part II - Observational Approaches

Published online by Cambridge University Press:  23 March 2020

Survey and interview methods form the basis of a vast amount of the literature in clinical psychology. After all, the easiest way to infer and measure a psychological state is often to ask the person to report it directly. The chapter discusses the pros and cons of the survey/interview methods and highlights those questions for which they are well-suited, as well as those for which they are not. Although falling under the same broad umbrella, survey and interview methods are further differentiated and suggestions made as to how a researcher might choose among them. Finally, recommend are made of best practices for instrument development and a series of decision points in creating a measure within these formats are outlined.

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• Survey and Interview Methods
• By Douglas B. Samuel , Meredith A. Bucher , Takakuni Suzuki
• Edited by Aidan G. C. Wright , University of Pittsburgh , Michael N. Hallquist , Pennsylvania State University
• Book: The Cambridge Handbook of Research Methods in Clinical Psychology
• Online publication: 23 March 2020
• Chapter DOI: https://doi.org/10.1017/9781316995808.007

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• University Libraries
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• Topic Guides
• Research Methods Guide
• Interview Research

Research Methods Guide: Interview Research

• Introduction
• Research Design & Method
• Survey Research
• Data Analysis
• Resources & Consultation

Tutorial Videos: Interview Method

Interview as a Method for Qualitative Research

Goals of Interview Research

• Preferences
• They help you explain, better understand, and explore research subjects' opinions, behavior, experiences, phenomenon, etc.
• Interview questions are usually open-ended questions so that in-depth information will be collected.

Mode of Data Collection

There are several types of interviews, including:

• Face-to-Face
• Online (e.g. Skype, Googlehangout, etc)

FAQ: Conducting Interview Research

What are the important steps involved in interviews?

• Think about who you will interview
• Think about what kind of information you want to obtain from interviews
• Think about why you want to pursue in-depth information around your research topic
• Introduce yourself and explain the aim of the interview
• Devise your questions so interviewees can help answer your research question
• Have a sequence to your questions / topics by grouping them in themes
• Make sure you can easily move back and forth between questions / topics
• Make sure your questions are clear and easy to understand
• Do not ask leading questions
• Do you want to bring a second interviewer with you?
• Do you want to bring a notetaker?
• Do you want to record interviews? If so, do you have time to transcribe interview recordings?
• Where will you interview people? Where is the setting with the least distraction?
• How long will each interview take?
• Do you need to address terms of confidentiality?

Do I have to choose either a survey or interviewing method?

No.  In fact, many researchers use a mixed method - interviews can be useful as follow-up to certain respondents to surveys, e.g., to further investigate their responses.

Is training an interviewer important?

Yes, since the interviewer can control the quality of the result, training the interviewer becomes crucial.  If more than one interviewers are involved in your study, it is important to have every interviewer understand the interviewing procedure and rehearse the interviewing process before beginning the formal study.

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Methodology

• Survey Research | Definition, Examples & Methods

Survey Research | Definition, Examples & Methods

Published on August 20, 2019 by Shona McCombes . Revised on June 22, 2023.

Survey research means collecting information about a group of people by asking them questions and analyzing the results. To conduct an effective survey, follow these six steps:

• Determine who will participate in the survey
• Decide the type of survey (mail, online, or in-person)
• Design the survey questions and layout
• Distribute the survey
• Analyze the responses
• Write up the results

Surveys are a flexible method of data collection that can be used in many different types of research .

Table of contents

What are surveys used for, step 1: define the population and sample, step 2: decide on the type of survey, step 3: design the survey questions, step 4: distribute the survey and collect responses, step 5: analyze the survey results, step 6: write up the survey results, other interesting articles, frequently asked questions about surveys.

Surveys are used as a method of gathering data in many different fields. They are a good choice when you want to find out about the characteristics, preferences, opinions, or beliefs of a group of people.

Common uses of survey research include:

• Social research : investigating the experiences and characteristics of different social groups
• Market research : finding out what customers think about products, services, and companies
• Health research : collecting data from patients about symptoms and treatments
• Politics : measuring public opinion about parties and policies
• Psychology : researching personality traits, preferences and behaviours

Surveys can be used in both cross-sectional studies , where you collect data just once, and in longitudinal studies , where you survey the same sample several times over an extended period.

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Before you start conducting survey research, you should already have a clear research question that defines what you want to find out. Based on this question, you need to determine exactly who you will target to participate in the survey.

Populations

The target population is the specific group of people that you want to find out about. This group can be very broad or relatively narrow. For example:

• The population of Brazil
• US college students
• Second-generation immigrants in the Netherlands
• Customers of a specific company aged 18-24
• British transgender women over the age of 50

Your survey should aim to produce results that can be generalized to the whole population. That means you need to carefully define exactly who you want to draw conclusions about.

Several common research biases can arise if your survey is not generalizable, particularly sampling bias and selection bias . The presence of these biases have serious repercussions for the validity of your results.

It’s rarely possible to survey the entire population of your research – it would be very difficult to get a response from every person in Brazil or every college student in the US. Instead, you will usually survey a sample from the population.

The sample size depends on how big the population is. You can use an online sample calculator to work out how many responses you need.

There are many sampling methods that allow you to generalize to broad populations. In general, though, the sample should aim to be representative of the population as a whole. The larger and more representative your sample, the more valid your conclusions. Again, beware of various types of sampling bias as you design your sample, particularly self-selection bias , nonresponse bias , undercoverage bias , and survivorship bias .

There are two main types of survey:

• A questionnaire , where a list of questions is distributed by mail, online or in person, and respondents fill it out themselves.
• An interview , where the researcher asks a set of questions by phone or in person and records the responses.

Which type you choose depends on the sample size and location, as well as the focus of the research.

Questionnaires

Sending out a paper survey by mail is a common method of gathering demographic information (for example, in a government census of the population).

• You can easily access a large sample.
• You have some control over who is included in the sample (e.g. residents of a specific region).
• The response rate is often low, and at risk for biases like self-selection bias .

Online surveys are a popular choice for students doing dissertation research , due to the low cost and flexibility of this method. There are many online tools available for constructing surveys, such as SurveyMonkey and Google Forms .

• You can quickly access a large sample without constraints on time or location.
• The data is easy to process and analyze.
• The anonymity and accessibility of online surveys mean you have less control over who responds, which can lead to biases like self-selection bias .

If your research focuses on a specific location, you can distribute a written questionnaire to be completed by respondents on the spot. For example, you could approach the customers of a shopping mall or ask all students to complete a questionnaire at the end of a class.

• You can screen respondents to make sure only people in the target population are included in the sample.
• You can collect time- and location-specific data (e.g. the opinions of a store’s weekday customers).
• The sample size will be smaller, so this method is less suitable for collecting data on broad populations and is at risk for sampling bias .

Oral interviews are a useful method for smaller sample sizes. They allow you to gather more in-depth information on people’s opinions and preferences. You can conduct interviews by phone or in person.

• You have personal contact with respondents, so you know exactly who will be included in the sample in advance.
• You can clarify questions and ask for follow-up information when necessary.
• The lack of anonymity may cause respondents to answer less honestly, and there is more risk of researcher bias.

Like questionnaires, interviews can be used to collect quantitative data: the researcher records each response as a category or rating and statistically analyzes the results. But they are more commonly used to collect qualitative data : the interviewees’ full responses are transcribed and analyzed individually to gain a richer understanding of their opinions and feelings.

Next, you need to decide which questions you will ask and how you will ask them. It’s important to consider:

• The type of questions
• The content of the questions
• The phrasing of the questions
• The ordering and layout of the survey

Open-ended vs closed-ended questions

There are two main forms of survey questions: open-ended and closed-ended. Many surveys use a combination of both.

Closed-ended questions give the respondent a predetermined set of answers to choose from. A closed-ended question can include:

• A binary answer (e.g. yes/no or agree/disagree )
• A scale (e.g. a Likert scale with five points ranging from strongly agree to strongly disagree )
• A list of options with a single answer possible (e.g. age categories)
• A list of options with multiple answers possible (e.g. leisure interests)

Closed-ended questions are best for quantitative research . They provide you with numerical data that can be statistically analyzed to find patterns, trends, and correlations .

Open-ended questions are best for qualitative research. This type of question has no predetermined answers to choose from. Instead, the respondent answers in their own words.

Open questions are most common in interviews, but you can also use them in questionnaires. They are often useful as follow-up questions to ask for more detailed explanations of responses to the closed questions.

The content of the survey questions

To ensure the validity and reliability of your results, you need to carefully consider each question in the survey. All questions should be narrowly focused with enough context for the respondent to answer accurately. Avoid questions that are not directly relevant to the survey’s purpose.

When constructing closed-ended questions, ensure that the options cover all possibilities. If you include a list of options that isn’t exhaustive, you can add an “other” field.

Phrasing the survey questions

In terms of language, the survey questions should be as clear and precise as possible. Tailor the questions to your target population, keeping in mind their level of knowledge of the topic. Avoid jargon or industry-specific terminology.

Survey questions are at risk for biases like social desirability bias , the Hawthorne effect , or demand characteristics . It’s critical to use language that respondents will easily understand, and avoid words with vague or ambiguous meanings. Make sure your questions are phrased neutrally, with no indication that you’d prefer a particular answer or emotion.

Ordering the survey questions

The questions should be arranged in a logical order. Start with easy, non-sensitive, closed-ended questions that will encourage the respondent to continue.

If the survey covers several different topics or themes, group together related questions. You can divide a questionnaire into sections to help respondents understand what is being asked in each part.

If a question refers back to or depends on the answer to a previous question, they should be placed directly next to one another.

Prevent plagiarism. Run a free check.

Before you start, create a clear plan for where, when, how, and with whom you will conduct the survey. Determine in advance how many responses you require and how you will gain access to the sample.

When you are satisfied that you have created a strong research design suitable for answering your research questions, you can conduct the survey through your method of choice – by mail, online, or in person.

There are many methods of analyzing the results of your survey. First you have to process the data, usually with the help of a computer program to sort all the responses. You should also clean the data by removing incomplete or incorrectly completed responses.

If you asked open-ended questions, you will have to code the responses by assigning labels to each response and organizing them into categories or themes. You can also use more qualitative methods, such as thematic analysis , which is especially suitable for analyzing interviews.

Statistical analysis is usually conducted using programs like SPSS or Stata. The same set of survey data can be subject to many analyses.

Finally, when you have collected and analyzed all the necessary data, you will write it up as part of your thesis, dissertation , or research paper .

In the methodology section, you describe exactly how you conducted the survey. You should explain the types of questions you used, the sampling method, when and where the survey took place, and the response rate. You can include the full questionnaire as an appendix and refer to it in the text if relevant.

Then introduce the analysis by describing how you prepared the data and the statistical methods you used to analyze it. In the results section, you summarize the key results from your analysis.

In the discussion and conclusion , you give your explanations and interpretations of these results, answer your research question, and reflect on the implications and limitations of the research.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Student’s  t -distribution
• Normal distribution
• Null and Alternative Hypotheses
• Chi square tests
• Confidence interval
• Quartiles & Quantiles
• Cluster sampling
• Stratified sampling
• Data cleansing
• Reproducibility vs Replicability
• Peer review
• Prospective cohort study

Research bias

• Implicit bias
• Cognitive bias
• Placebo effect
• Hawthorne effect
• Hindsight bias
• Affect heuristic
• Social desirability bias

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analyzing data from people using questionnaires.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviors. It is made up of 4 or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with 5 or 7 possible responses, to capture their degree of agreement.

Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyze your data.

The priorities of a research design can vary depending on the field, but you usually have to specify:

• Your research questions and/or hypotheses
• Your overall approach (e.g., qualitative or quantitative )
• The type of design you’re using (e.g., a survey , experiment , or case study )
• Your sampling methods or criteria for selecting subjects
• Your data collection methods (e.g., questionnaires , observations)
• Your data collection procedures (e.g., operationalization , timing and data management)
• Your data analysis methods (e.g., statistical tests  or thematic analysis )

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• Knowledge Base
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• Doing Survey Research | A Step-by-Step Guide & Examples

Doing Survey Research | A Step-by-Step Guide & Examples

Published on 6 May 2022 by Shona McCombes . Revised on 10 October 2022.

Survey research means collecting information about a group of people by asking them questions and analysing the results. To conduct an effective survey, follow these six steps:

• Determine who will participate in the survey
• Decide the type of survey (mail, online, or in-person)
• Design the survey questions and layout
• Distribute the survey
• Analyse the responses
• Write up the results

Surveys are a flexible method of data collection that can be used in many different types of research .

Table of contents

What are surveys used for, step 1: define the population and sample, step 2: decide on the type of survey, step 3: design the survey questions, step 4: distribute the survey and collect responses, step 5: analyse the survey results, step 6: write up the survey results, frequently asked questions about surveys.

Surveys are used as a method of gathering data in many different fields. They are a good choice when you want to find out about the characteristics, preferences, opinions, or beliefs of a group of people.

Common uses of survey research include:

• Social research: Investigating the experiences and characteristics of different social groups
• Market research: Finding out what customers think about products, services, and companies
• Health research: Collecting data from patients about symptoms and treatments
• Politics: Measuring public opinion about parties and policies
• Psychology: Researching personality traits, preferences, and behaviours

Surveys can be used in both cross-sectional studies , where you collect data just once, and longitudinal studies , where you survey the same sample several times over an extended period.

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Before you start conducting survey research, you should already have a clear research question that defines what you want to find out. Based on this question, you need to determine exactly who you will target to participate in the survey.

Populations

The target population is the specific group of people that you want to find out about. This group can be very broad or relatively narrow. For example:

• The population of Brazil
• University students in the UK
• Second-generation immigrants in the Netherlands
• Customers of a specific company aged 18 to 24
• British transgender women over the age of 50

Your survey should aim to produce results that can be generalised to the whole population. That means you need to carefully define exactly who you want to draw conclusions about.

It’s rarely possible to survey the entire population of your research – it would be very difficult to get a response from every person in Brazil or every university student in the UK. Instead, you will usually survey a sample from the population.

The sample size depends on how big the population is. You can use an online sample calculator to work out how many responses you need.

There are many sampling methods that allow you to generalise to broad populations. In general, though, the sample should aim to be representative of the population as a whole. The larger and more representative your sample, the more valid your conclusions.

There are two main types of survey:

• A questionnaire , where a list of questions is distributed by post, online, or in person, and respondents fill it out themselves
• An interview , where the researcher asks a set of questions by phone or in person and records the responses

Which type you choose depends on the sample size and location, as well as the focus of the research.

Questionnaires

Sending out a paper survey by post is a common method of gathering demographic information (for example, in a government census of the population).

• You can easily access a large sample.
• You have some control over who is included in the sample (e.g., residents of a specific region).
• The response rate is often low.

Online surveys are a popular choice for students doing dissertation research , due to the low cost and flexibility of this method. There are many online tools available for constructing surveys, such as SurveyMonkey and Google Forms .

• You can quickly access a large sample without constraints on time or location.
• The data is easy to process and analyse.
• The anonymity and accessibility of online surveys mean you have less control over who responds.

If your research focuses on a specific location, you can distribute a written questionnaire to be completed by respondents on the spot. For example, you could approach the customers of a shopping centre or ask all students to complete a questionnaire at the end of a class.

• You can screen respondents to make sure only people in the target population are included in the sample.
• You can collect time- and location-specific data (e.g., the opinions of a shop’s weekday customers).
• The sample size will be smaller, so this method is less suitable for collecting data on broad populations.

Oral interviews are a useful method for smaller sample sizes. They allow you to gather more in-depth information on people’s opinions and preferences. You can conduct interviews by phone or in person.

• You have personal contact with respondents, so you know exactly who will be included in the sample in advance.
• You can clarify questions and ask for follow-up information when necessary.
• The lack of anonymity may cause respondents to answer less honestly, and there is more risk of researcher bias.

Like questionnaires, interviews can be used to collect quantitative data : the researcher records each response as a category or rating and statistically analyses the results. But they are more commonly used to collect qualitative data : the interviewees’ full responses are transcribed and analysed individually to gain a richer understanding of their opinions and feelings.

Next, you need to decide which questions you will ask and how you will ask them. It’s important to consider:

• The type of questions
• The content of the questions
• The phrasing of the questions
• The ordering and layout of the survey

Open-ended vs closed-ended questions

There are two main forms of survey questions: open-ended and closed-ended. Many surveys use a combination of both.

Closed-ended questions give the respondent a predetermined set of answers to choose from. A closed-ended question can include:

• A binary answer (e.g., yes/no or agree/disagree )
• A scale (e.g., a Likert scale with five points ranging from strongly agree to strongly disagree )
• A list of options with a single answer possible (e.g., age categories)
• A list of options with multiple answers possible (e.g., leisure interests)

Closed-ended questions are best for quantitative research . They provide you with numerical data that can be statistically analysed to find patterns, trends, and correlations .

Open-ended questions are best for qualitative research. This type of question has no predetermined answers to choose from. Instead, the respondent answers in their own words.

Open questions are most common in interviews, but you can also use them in questionnaires. They are often useful as follow-up questions to ask for more detailed explanations of responses to the closed questions.

The content of the survey questions

To ensure the validity and reliability of your results, you need to carefully consider each question in the survey. All questions should be narrowly focused with enough context for the respondent to answer accurately. Avoid questions that are not directly relevant to the survey’s purpose.

When constructing closed-ended questions, ensure that the options cover all possibilities. If you include a list of options that isn’t exhaustive, you can add an ‘other’ field.

Phrasing the survey questions

In terms of language, the survey questions should be as clear and precise as possible. Tailor the questions to your target population, keeping in mind their level of knowledge of the topic.

Use language that respondents will easily understand, and avoid words with vague or ambiguous meanings. Make sure your questions are phrased neutrally, with no bias towards one answer or another.

Ordering the survey questions

The questions should be arranged in a logical order. Start with easy, non-sensitive, closed-ended questions that will encourage the respondent to continue.

If the survey covers several different topics or themes, group together related questions. You can divide a questionnaire into sections to help respondents understand what is being asked in each part.

If a question refers back to or depends on the answer to a previous question, they should be placed directly next to one another.

Before you start, create a clear plan for where, when, how, and with whom you will conduct the survey. Determine in advance how many responses you require and how you will gain access to the sample.

When you are satisfied that you have created a strong research design suitable for answering your research questions, you can conduct the survey through your method of choice – by post, online, or in person.

There are many methods of analysing the results of your survey. First you have to process the data, usually with the help of a computer program to sort all the responses. You should also cleanse the data by removing incomplete or incorrectly completed responses.

If you asked open-ended questions, you will have to code the responses by assigning labels to each response and organising them into categories or themes. You can also use more qualitative methods, such as thematic analysis , which is especially suitable for analysing interviews.

Statistical analysis is usually conducted using programs like SPSS or Stata. The same set of survey data can be subject to many analyses.

Finally, when you have collected and analysed all the necessary data, you will write it up as part of your thesis, dissertation , or research paper .

In the methodology section, you describe exactly how you conducted the survey. You should explain the types of questions you used, the sampling method, when and where the survey took place, and the response rate. You can include the full questionnaire as an appendix and refer to it in the text if relevant.

Then introduce the analysis by describing how you prepared the data and the statistical methods you used to analyse it. In the results section, you summarise the key results from your analysis.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviours. It is made up of four or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with five or seven possible responses, to capture their degree of agreement.

Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyse your data.

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analysing data from people using questionnaires.

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McCombes, S. (2022, October 10). Doing Survey Research | A Step-by-Step Guide & Examples. Scribbr. Retrieved 11 June 2024, from https://www.scribbr.co.uk/research-methods/surveys/

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Introduction to Research Methods

6 qualitative research and interviews.

So we’ve described doing a survey and collecting quantitative data. But not all questions can best be answered by a survey. A survey is great for understanding what people think (for example), but not why they think what they do. If your research is intending to understand the underlying motivations or reasons behind peoples actions, or to build a deeper understanding on the background of a subject, an interview may be the more appropriate data collection method.

Interviews are a method of data collection that consist of two or more people exchanging information through a structured process of questions and answers. Questions are designed by the researcher to thoughtfully collect in-depth information on a topic or set of topics as related to the central research question. Interviews typically occur in-person, although good interviews can also be conducted remotely via the phone or video conferencing. Unlike surveys, interviews give the opportunity to ask follow-up questions and thoughtfully engage with participants on the spot (rather than the anonymous and impartial format of survey research).

And surveys can be used in qualitative or quantitative research – though they’re more typically a qualitative technique. In-depth interviews , containing open-ended questions and structured by an interview guide . One can also do a standardized interview with closed-ended questions (i.e. answer options) that are structured by an interview schedule as part of quantitative research. While these are called interviews they’re far closer to surveys, so we wont cover them again in this chapter. The terms used for in-depth interviews we’ll cover in the next section.

6.1 Interviews

In-depth interviews allow participants to describe experiences in their own words (a primary strength of the interview format). Strong in-depth interviews will include many open-ended questions that allow participants to respond in their own words, share new ideas, and lead the conversation in different directions. The purpose of open-ended questions and in-depth interviews is to hear as much as possible in the person’s own voice, to collect new information and ideas, and to achieve a level of depth not possible in surveys or most other forms of data collection.

Typically, an interview guide is used to create a soft structure for the conversation and is an important preparation tool for the researcher. You can not go into an interview unprepared and just “wing it”; what the interview guide allows you to do is map out a framework, order of topics, and may include specific questions to use during the interview. Generally, the interview guide is thought of as just that — a guide to use in order to keep the interview focused. It is not set in stone and a skilled researcher can change the order of questions or topics in an interviews based on the organic conversation flow.

Depending on the experience and skill level of the researcher, an interview guide can be as simple as a list of topics to cover. However, for consistency and quality of research, the interviewer may want to take the time to at least practice writing out questions in advance to ensure that phrasing and word choices are as clear, objective, and focused as possible. It’s worth remembering that working out the wording of questions in advance allows researchers to ensure more consistency across interview. The interview guide below, taken from the wonderful and free textbook Principles of Sociological Inquiry , shows an interview guide that just has topics.

Alternatively, you can use a more detailed guide that lists out possible questions, as shown below. A more detailed guide is probably better for an interviewer that has less experience, or is just beginning to work on a given topic.

The purpose of an interview guide is to help ask effective questions and to support the process of acquiring the best possible data for your research. Topics and questions should be organized thematically, and in a natural progression that will allow the conversation to flow and deepen throughout the course of the interview. Often, researchers will attempt to memorize or partially memorize the interview guide, in order to be more fully present with the participant during the conversation.

6.2 Asking good Questions

Remember, the purposes of interviews is to go more in-depth with an individual than is possible with a generalized survey. For this reason, it is important to use the guide as a starting point but not to be overly tethered to it during the actual interview process. You may get stuck when respondents give you shorter answers than you expect, or don’t provide the type of depth that you need for your research. Often, you may want to probe for more specifics. Think about using follow up questions like “How does/did that affect you?” or “How does X make you feel?” and “Tell me about a time where X…”

For example, if I was researching the relationship between pets and mental health, some strong open-ended questions might be: * How does your pet typically make you feel when you wake up in the morning? * How does your pet generally affect your mood when you arrive home in the evening? * Tell me about a time when your pet had a significant impact on your emotional state.

Questions framed in this manner leave plenty of room for the respondent to answer in their own words, as opposed to leading and/or truncated questions, such as: * Does being with your pet make you happy? * After a bad day, how much does seeing your pet improve your mood? * Tell me about how important your pet is to your mental health.

These questions assume outcomes and will not result in high quality research. Researchers should always avoid asking leading questions that give away an expected answer or suggest particular responses. For instance, if I ask “we need to spend more on public schools, don’t you think?” the respondent is more likely to agree regardless of their own thoughts. Some wont, but humans generally have a strong natural desire to be agreeable. That’s why leaving your questions neutral and open so that respondents can speak to their experiences and views is critical.

6.3 Analyzing Interview Data

Writing good questions and interviewing respondents are just the first steps of the interview process. After these stages, the researcher still has a lot of work to do to collect usable data from the interview. The researcher must spend time coding and analyzing the interview to retrieve this data. Just doing an interview wont produce data. Think about how many conversations you have everyday, and none of those are leaving you swimming in data.

Hopefully you can record your interviews. Recording your interviews will allow you the opportunity to transcribe them word for word later. If you can’t record the interview you’ll need to take detailed notes so that you can reconstruct what you heard later. Do not trust yourself to “just remember” the conversation. You’re collecting data, precious data that you’re spending time and energy to collect. Treat it as important and valuable. Remember our description of the methodology section from Chapter 2, you need to maintain a chain of custody on your data. If you just remembered the interview, you could be accused of making up the results. Your interview notes and the recording become part of that chain of custody to prove to others that your interviews were real and that your results are accurate.

Assuming you recorded your interview, the first step in the analysis process is transcribing the interview. A transcription is a written record of every word in an interview. Transcriptions can either be completed by the researcher or by a hired worker, though it is good practice for the researcher to transcribe the interview him or herself. Researchers should keep the following points in mind regarding transcriptions: * The interview should take place in a quiet location with minimal background noise to produce a clear recording; * Transcribing interviews is a time-consuming process and may take two to three times longer than the actual interview; * Transcriptions provide a more precise record of the interview than hand written notes and allow the interviewer to focus during the interview.

After transcribing the interview, the next step is to analyze the responses. Coding is the main form of analysis used for interviews and involves studying a transcription to identify important themes. These themes are categorized into codes, which are words or phrases that denote an idea.

You’ll typically being with several codes in mind that are generated by key ideas you week seeking in the questions, but you can also being by using open coding to understand the results. An open coding process involves reading through the transcript multiple times and paying close attention to each line of the text to discover noteworthy concepts. During the open coding process, the researcher keeps an open mind to find any codes that may be relevant to the research topic.

After the open coding process is complete, focused coding can begin. Focused coding takes a closer look at the notes compiled during the open coding stage to merge common codes and define what the codes mean in the context of the research project.

Imagine a researcher is conducting interviews to learn about various people’s experiences of childhood in New Orleans. The following example shows several codes that this researcher extrapolated from an interview with one of their subjects.

6.4 Using interview data

The next chapter will address ways to identify people to interview, but most of the remainder of the book will address how to analyze quantitative data. That shouldn’t be taken as a sign that quantitative data is better, or that it’s easier to use interview data. Because in an interview the researcher must interpret the words of others it is often more challenging to identify your findings and clearly answer your research question. However, quantitative data is more common, and there are more different things you can do with it, so we spend a lot of the textbook focusing on it.

I’ll work through one more example of using interview data though. It takes a lot of practice to be a good and skilled interviewer. What I show below is a brief excerpt of an interview I did, and how that data was used in a resulting paper I wrote. These aren’t the only way you can use interview data, but it’s an example of what the intermediary and final product might look like.

The overall project these are drawn from was concerned with minor league baseball stadiums, but the specific part I’m pulling from here was studying the decline and rejuvenation of downtown around those stadiums in several cities. You’ll see that I’m using the words of the respondent fairly directly, because that’s my data. But I’m not just relying on one respondent and trusting them, I did a few dozen interviews in order to understand the commonalities in people’s perspectives to build a narrative around my research question.

Excerpt from Notes

Excerpt from Resulting Paper

How many interviews are necessary? It actually doesn’t take many. What you want to observe in your interviews is theoretical saturation , where the codes you use in the transcript begin to appear across conversations and groups. If different people disagree that’s fine, but what you want to understand is the commonalities across peoples perspectives. Most research on the subject says that with 8 interviews you’ll typically start to see a decline in new information gathered. That doesn’t mean you won’t get new words , but you’ll stop hearing completely unique perspectives or gain novel insights. At that point, where you’ve ‘heard it all before’ you can stop, because you’ve probably identified the answer to the questions you were trying to research.

6.5 Ensuring Anonymity

One significant ethical concern with interviews, that also applies to surveys, is making sure that respondents maintain anonymity. In either form of data collection you may be asking respondents deeply personal questions, that if exposed may cause legal, personal, or professional harm. Notice that in the excerpt of the paper above the respondents are only identified by an id I assigned (Louisville D) and their career, rather than their name. I can only include the excerpt of the interview notes above because there are no details that might lead to them being identified.

You may want to report details about a person to contextualize the data you gathered, but you should always ensure that no one can be identified from your research. For instance, if you were doing research on racism at large companies, you may want to preface people’s comments by their race, as there is a good chance that white and minority employees would feel differently about the issues. However, if you preface someones comments by saying they’re a minority manager, that may violate their anonymity. Even if you don’t state what company you did interviews with, that may be enough detail for their co-workers to identify them if there are few minority managers at the company. As such, always think long and hard about whether there is any way that the participation of respondents may be exposed.

6.6 Why not both?

We’ve discussed surveys and interviews as different methods the last two chapters, but they can also complement each other.

For instance, let’s say you’re curious to study people who change opinions on abortion, either going from support to opposition or vice versa. You could use a survey to understand the prevalence of changing opinions, i.e. what percentage of people in your city have changed their views. That would help to establish whether this is a prominent issue, or whether it’s a rare phenomenon. But it would be difficult to understand from the survey what makes people change their views. You could add an open ended question for anyone that said they changed their opinion, but many people won’t respond and few will provide the level of detail necessary to understand their motivations. Interviews with people that have changed their opinions would give you an opportunity to explore how their experiences and beliefs have changed in combination with their views towards abortion.

6.7 Summary

In the last two chapters we’ve discussed the two most prominent methods of data collection in the social sciences: surveys and interviews. What we haven’t discussed though is how to identify the people you’ll collect data from; that’s called a sampling strategy. In the next chapter

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Home Market Research

Types of Interviews in Research and Methods

There are more types of interviews than most people think. An interview is generally a qualitative research technique that involves asking open-ended questions to converse with respondents and collect elicit data about a subject.

The interviewer, in most cases, is the subject matter expert who intends to understand respondent opinions in a well-planned and executed series of star questions and answers . 

Interviews are similar to focus groups and surveys for garnering information from the target market but are entirely different in their operation – focus groups are restricted to a small group of 6-10 individuals, whereas surveys are quantitative.

Interviews are conducted with a sample from a population, and the key characteristic they exhibit is their conversational tone.

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Content Index

What is An Interview?

Fundamental types of interviews in research, other types of interviews.

• Methods of Research Interviews

What to Avoid in Different Types of Interviews

• Interview-Related Questions

An interview is a way to get information from a person by asking questions and hearing their answers.

An interview is a question-and-answer session where one person asks questions, and the other person answers those questions. It can be a one-on-one, two-way conversation, or there can be more than one interviewer and more than one participant.

The interview is the most important part of the whole selection bias process. It is used to decide if a person should be interviewed further, hired, or taken out of consideration. It is the main way to learn more about applicants and the basis for judging their job-related knowledge, research skills , and abilities.

A researcher has to conduct interviews with a group of participants at a juncture in the research where information can only be obtained by meeting and personally connecting with a section of their target audience. Interviews offer the researchers a platform to prompt their participants and obtain inputs in the desired detail. There are three fundamental types of interviews in research:

1. Structured Interviews:

Structured interviews are defined as research tools that could be more flexible in their operations are allow more or no scope of prompting the participants to obtain and analyze results. It is thus also known as a standardized interview and is significantly quantitative in its approach. 

Questions in this interview are pre-decided according to the required detail of information. This can be used in a focus group interview and an in-person interview.

These interviews are excessively used in survey research with the intention of maintaining uniformity throughout all the interview sessions.

LEARN ABOUT: Research Process Steps

They can be closed-ended and open-ended – according to the type of target population. Closed-ended questions can be included to understand user preferences from a collection of answer options. In contrast, open-ended ones can be included to gain details about a particular section in the interview.

Example of a structured interview question:

Here’s an example of a structured question for a job interview for a customer service job:

• Can you talk about what it was like to work in customer service?
• How do you deal with an angry or upset customer?
• How do you ensure that the information you give customers is correct?
• Tell us about when you went out of your way to help a customer.
• How do you handle a lot of customers or tasks at once?
• Can you talk about how you’ve used software or tools for customer service?
• How do you set priorities and use your time well while giving good customer service?
• Can you tell us about when you had to get a customer to calm down?
• How do you deal with a customer who wants something that goes against your company’s rules?
• Tell me about a time when you had to deal with a hard customer or coworker.

Advantages of structured interviews:

• It focuses on the accuracy of different responses, due to which extremely organized data can be collected. Different respondents have different types of answers to the same structure of questions – answers obtained can be collectively analyzed.
• They can be used to get in touch with a large sample of the target population.
• The interview procedure is made easy due to the standardization offered by it.
• Replication across multiple samples becomes easy due to the same structure of the interview.
• As the scope of detail is already considered while designing the interview questions, better information can be obtained. The researcher can analyze the research problem comprehensively by asking accurate research questions .
• Since the structure of the interview is fixed, it often generates reliable results and is quick to execute.
• The relationship between the researcher and the respondent is not formal, due to which the researcher can clearly understand the margin of error in case the respondent either degree to be a part of the survey or is just not interested in providing the right information.

Disadvantages of structured interviews:

• The limited scope of assessment of obtained results.
• The accuracy of information overpowers the detail of information.
• Respondents are forced to select from the provided answer options.
• The researcher is expected to always adhere to the list of decided questions, irrespective of how interesting the conversation is turning out to be with the participants.
• A significant amount of time is required for a structured interview. 

Learn more: Market Research

2. Semi-Structured Types of Interviews:

Semi-structured interviews offer a considerable amount of leeway to the researcher to probe the respondents, along with maintaining a basic interview structure. Even if it is a guided conversation between researchers and interviewees – appreciable flexibility is offered to the researchers. A researcher can be assured that multiple interview rounds will not be required in the presence of structure in this type of research interview.

Keeping the structure in mind, the researcher can follow any idea or take creative advantage of the entire interview. Additional respondent probing is always necessary to garner information for a research study. The best application of semi-structured interviews is when the researcher doesn’t have time to conduct research and requires detailed information about the topic.

Example of a semi-structured interview question:

Here’s an example of a semi-structured marketing job interviews question:

• Can you tell us about the marketing work you’ve done?
• What do you think are the most important parts of a marketing campaign that works?
• Tell me about a campaign you worked on that you’re very proud of.
• How do you do research on the market and look at data to help you make marketing decisions?
• Can you tell us about a time when you had to change your marketing plan because of something that didn’t go as planned?
• How do you figure out if a marketing campaign worked?
• Can you talk about how you’ve used social media to market?
• How do you ensure your marketing message gets through to the people you want to hear it?
• Can you tell us about a time when you had to run a marketing campaign on a small budget?
• How do you keep up with changes and trends in marketing?

Advantages of semi-structured interviews:

• Questions from semi-structured interview questions are prepared before the scheduled interview, giving the researcher time to prepare and analyze the questions.
• It is flexible to an extent while maintaining the research guidelines.
• Unlike a structured interview, researchers can express the interview questions in the preferred format.
• Reliable qualitative data can be collected via these interviews.
• The flexible structure of the interview.

Learn more: Quantitative Data

Disadvantages of semi-structured interviews:

• Participants may question the reliability factor of these interviews due to the flexibility offered.
• Comparing two different answers becomes difficult as the guideline for conducting interviews is not entirely followed. No two questions will have the exact same structure, and the result will be an inability to compare are infer results.

3. Unstructured Interviews:

Also called in-depth interviews , unstructured interviews are usually described as conversations held with a purpose in mind – to gather data about the research study. These interviews have the least number of questions as they lean more towards a normal conversation but with an underlying subject.

The main objective of most researchers using unstructured interviews is to build a bond with the respondents, due to which there is a high chance that the respondents will be 100% truthful with their answers. There are no guidelines for the researchers to follow. So they can approach the participants ethically to gain as much information as possible about their research topic.

Since there are no guidelines for these interviews, a researcher is expected to keep their approach in check so that the respondents do not sway away from the main research motive. 

For a researcher to obtain the desired outcome, he/she must keep the following factors in mind:

• The intent of the interview.
• The interview should primarily take into consideration the participant’s interests and skills.
• All the conversations should be conducted within the permissible limits of research, and the researcher should try and stick by these limits.
• The researcher’s skills and knowledge should match the interview’s purpose.
• Researchers should understand the dos and don’ts of it.

Example of an unstructured interview question:

Here’s an example of a question asked in an unstructured interview:

• Can you tell me about when you had to deal with something hard and how you did it?
• What are some of the things you’re most proud of, and what did you learn from them?
• How do you deal with ambiguity or not knowing what to do at work?
• Can you describe how you lead and how you get your team going?
• Tell me about a time when you had to take a chance and how it turned out.
• What do you think are the most important qualities for success in this role?
• How do you deal with setbacks or failures, and what do you learn from them?
• Can you tell me about a time when you had to solve a problem by thinking outside the box?
• What do you think makes you different from the other people who want this job?
• Can you tell me about a time when you had to make a hard choice and how you made that choice?

Advantages of Unstructured Interviews:

• Due to this type of interview’s informal nature, it becomes extremely easy for researchers to try and develop a friendly rapport with the participants. This leads to gaining insights in extreme detail without much conscious effort.
• The participants can clarify all their doubts about the questions, and the researcher can take each opportunity to explain his/her intention for better answers.
• There are no questions that the researcher has to abide by, and this usually increases the flexibility of the entire research process.

Disadvantages of Unstructured Interviews:

• Researchers take time to execute these interviews because there is no structure to the interview process.
• The absence of a standardized set of questions and guidelines indicates that its reliability of it is questionable.
• The ethics involved in these interviews are often considered borderline upsetting.

Learn more: Qualitative Market Research & Qualitative Data Collection

Besides the 3 basic interview types, we have already mentioned there are more. Here are some other interview types that are commonly used in a job interview:

Behavioral Interview

During this type of interview, candidates are asked to give specific examples of how they have acted in the past. The idea behind this kind of interview is that what someone did in the past can be a sign of how they will act in the future. And by this interview, the company can also understand the interviewee’s behavior through body language.

Panel Interview

During a panel interview, three or more interviewers usually ask questions and evaluate the candidate’s answers as a group. This is a good way to get a full picture of a candidate’s skills and suitability for the job.

Group Types of Interviews

Multiple people are interviewed at the same time in group interviews. This form of interview often focus groups that are utilized on entry-level positions or employment in customer service to examine how well candidates get along with others and function as a team.

Case Interview

During a case interview, candidates are given a business problem or scenario and asked to think about how to solve it. In the consulting and finance fields, this kind of interview is common.

Technical Interview

A candidate’s technical skills and knowledge are tested during a technical interview, usually in fields like engineering or software development. Most of the time, candidates are asked to solve problems or complete technical tasks.

Stress Interview

During a stress interview, candidates are put under pressure or asked difficult or confrontational questions on purpose to see how they react in stressful situations. This kind of interview is used to see how well a candidate can deal with stress and hard situations.

Methods of Research Interviews:

There are four methods to conduct research interviews, each of which is peculiar in its application and can be used according to the research study requirement.

Personal Interviews:

Personal interviews are one of the most used types of interviews, where the questions are asked personally directly to the respondent as a form of an individual interview. One of the many in-person interviews is a lunch interview, which is frequently better suited for casual inquiries and discussions.

For this, a researcher can have a guide to online surveys to take note of the answers. A researcher can design his/her survey in such a way that they take notes of the comments or points of view that stands out from the interviewee. It can be a one-on-one interview as well. 

• Higher response rate.
• When the interviewees and respondents are face-to-face, there is a way to adapt the questions if this is not understood.
• More complete answers can be obtained if there is doubt on both sides or a remarkable piece of information is detected.
• The researcher has an opportunity to detect and analyze the interviewee’s body language at the time of asking the questions and taking notes about it.

Disadvantages:

• They are time-consuming and extremely expensive.
• They can generate distrust on the part of the interviewee since they may be self-conscious and not answer truthfully.
• Contacting the interviewees can be a real headache, either scheduling an appointment in workplaces or going from house to house and not finding anyone.
• Therefore, many interviews are conducted in public places like shopping centers or parks. Even consumer studies take advantage of these sites to conduct interviews or surveys and give incentives, gifts, and coupons. In short, There are great opportunities for online research in shopping centers.
• Among the advantages of conducting such types of interviews is that the respondents will have more fresh information if the interview is conducted in the context and with the appropriate stimuli so that researchers can have data from their experience at the scene of the events immediately and first hand. The interviewer can use an online survey through a mobile device that will undoubtedly facilitate the entire process.

Telephonic Type of Interviews:

Phonic interviews are widely used and easily combined with online surveys to conduct research effectively.

Advantages:

• To find the interviewees, it is enough to have their phone numbers on hand.
• They are usually lower cost.
• The information is collected quickly.
• Having a personal contact can also clarify doubts or give more details of the questions.
• Many times researchers observe that people do not answer phone calls because it is an unknown number for the respondent or simply already changed their place of residence and they cannot locate it, which causes a bias in the interview.
• Researchers also face that they simply do not want to answer and resort to pretexts such as they are busy to answer, they are sick, they do not have the authority to answer the questions asked, they have no interest in answering, or they are afraid of putting their security at risk.
• One of the aspects that should be taken care of in these types of interviews is the kindness with which the interviewers address the respondents in order to get them to cooperate more easily with their answers. Good communication is vital for the generation of better answers.

Email or Web Page Types of Interviews:

Online research is growing more and more because consumers are migrating to a more virtual world, and it is best for each researcher to adapt to this change.

The increase in people with Internet access has made it popular that interviews via email or web page stand out among the types of interviews most used today. For this nothing better than an online survey.

More and more consumers are turning to online shopping, which is why they are a great niche to be able to carry out an interview that will generate information for the correct decision-making.

Advantages of email surveys:

• Speed in obtaining data
• The respondents respond according to their time, when they want, and where they decide.
• Online surveys can be mixed with other research methods or using some of the previous interview models. They are tools that can perfectly complement and pay for the project.
• A researcher can use a variety of questions and logic to create graphs and reports immediately.

Disadvantages of email survey:

• Low response rates
• Limited access to certain populations
• Potential for spam filters
• Lack of personal touch

Try not to do any of the following things when you’re in an interview:

• Don’t blame your previous managers, coworkers, or companies. This will make a bad impression on the interviewer and show that you are not accountable.
• Do not go to the interview without knowing anything about the company you are interviewing for. Interviewers will think you don’t care about learning about the company if you don’t know anything.
• Don’t fidget with things because that shows you lack self-confidence and focus.
• Stop checking the time because it shows that you have something more important to do and that you don’t give the interview much importance.

Related Questions of Interviews

After the interview is over, you might also get a chance to ask some questions. You should make the most of this chance to learn useful things from the interviewer. Based on what you’ve learned, you can then decide if the company and the job are a good fit for you. You can ask the interviewer questions about the company or about the job role.

Here are some common but important questions to ask in an interview:

• What do you anticipate from team members in this role?
• What does a typical day look like for an employee in this role?
• What qualities are essential for success in this position?
• How is success measured for this position?
• How does this job profile relate to the organization’s overarching objectives?
• What are your company’s guiding principles?
• Which departments will I work closely with throughout my time in this profile?

Learn more: Quantitative Research

To summarize the discussion, an effective interview will be one that provides researchers with the necessary data to know the object of study and that this information is applicable to the decisions researchers make.

Undoubtedly, the objective of the research will set the pattern of what types of interviews are best for data collection. Based on the research design , a researcher can plan and test the questions, for instance, if the questions are correct and if the survey flows in the best way.

LEARN ABOUT: Best Data Collection Tools

In addition, other types of research can be used under specific circumstances.

For example, there are no connections or adverse situations to carry out surveyors. In these types of occasions, it is necessary to conduct field research, which can not be considered an interview if not rather a completely different methodology.

QuestionPro is a flexible online survey platform that can help researchers do different kinds of interviews, like structured, semi-structured, unstructured, phone interview, group interview, etc. It gives researchers a flexible platform that can be changed to fit their needs and the needs of their research project.

QuestionPro can help researchers get detailed and useful information from participants using features like skip logic, piping, and live chat. Also, the platform is easy to use and get to, making it a useful tool for researchers to use in their work.

LEARN ABOUT: Candidate Experience Survey

Overall, QuestionPro can be helpful for researchers who want to do good interviews and collect good project data.

FREE TRIAL         LEARN MORE

The 3 main types of interviews are 1. Structured interviews 2. Semi-structured interviews 3. Unstructured interviews

There are different ways to conduct an interview, and each one can add depth and substance to the information the interviewer gathers by asking questions. We discuss four interview methods: situational, professional behavior profiling, stress, and behavioral.

Face-to-face means in-person interviews are the most common type of interview. It’s about getting a good sense of the candidate by focusing on them directly. But it also allows the person interviewed to talk freely and ask questions.

Personal interviews, phone interviews, email or web page interviews, and a combination of these methods are the four types of research interviews.

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• Survey Methods: Definition, Types, and Examples

Data gathering is a flexible and exciting process; especially when you use surveys. There are different survey methods that allow you to collect relevant information from research participants or the people who have access to the required data. 

For instance, you can conduct an interview or simply observe the research participants as they interact in their environment. Typically, your research context, the type of systematic investigation, and many other factors should determine the survey method you adopt. 

In this article, we will discuss different types of survey methods and also show you how to conduct online surveys using Formplus . 

What is a Survey Method?

A survey method is a process, tool, or technique that you can use to gather information in research by asking questions to a predefined group of people. Typically, it facilitates the exchange of information between the research participants and the person or organization carrying out the research. 

Survey methods can be qualitative or quantitative depending on the type of research and the type of data you want to gather in the end. For instance, you can choose to create and administer an online survey with Formplus that allows you to collect statistical information from respondents. For qualitative research, you can conduct a face-to-face interview or organize a focus group. 

Types of Survey Methods  

Interviews    .

An interview is a survey research method where the researcher facilitates some sort of conversation with the research participant to gather useful information about the research subject. This conversation can happen physically as a face-to-face interview or virtually as a telephone interview or via video and audio-conferencing platforms.  

During an interview, the researcher has the opportunity to connect personally with the research subject and establish some sort of relationship. This connection allows the interviewer (researcher) to gain more insight into the information provided by the research participant in the course of the conversation. 

An interview can be structured, semi-structured, or unstructured . In a structured interview , the researcher strictly adheres to a sequence of premeditated questions throughout the conversation. This is also known as a standardized interview or a researcher-administered interview and it often results in quantitative research findings. 

In a semi-structured interview , the researcher has a set of premeditated interview questions but he or she can veer off the existing interview sequence to get more answers and gain more clarity from the interviewee. The semi-structured interview method is flexible and allows the researcher to work outside the scope of the sequence while maintaining the basic interview framework. 

Just as the name suggests, an unstructured interview is one that doesn’t restrict the researcher to a set of premeditated questions or the interview sequence. Here, the researcher is allowed to leverage his or her knowledge and to creatively weave questions to help him or her to get useful information from the participant. This is why it is also called an in-depth interview. 

Advantages of Interviews

• Interviews, especially face-to-face interviews, allow you to capture non-verbal nuances that provide more context around the interviewee’s responses. For instance, the interview can act in a certain way to suggest that he or she is uncomfortable with a particular question. 
• Interviews are more flexible as a method of survey research. With semi-structured and unstructured interviews, you can adjust the conversation sequence to suit prevailing circumstances. 

Disadvantages of Interviews

• It is expensive and time-consuming; especially when you have to interview large numbers of people. 
• It is subject to researcher bias which can affect the quality of data gathered at the end of the process. 

A survey is a data collection tool that lists a set of structured questions to which respondents provide answers based on their knowledge and experiences. It is a standard data gathering process that allows you to access information from a predefined group of respondents during research. 

In a survey, you would find different types of questions based on the research context and the type of information you want to have access to. Many surveys combine open-ended and closed-ended questions including rating scales and semantic scales. This means you can use them for qualitative and quantitative research. 

Surveys come in 2 major formats; paper forms or online forms. A paper survey is a more traditional method of data collection and it can easily result in loss of data. Paper forms are also cumbersome to organize and process. 

Online surveys, on the other hand, are usually created via data collection platforms like Formplus. These platforms have form builders where you can create your survey from scratch using different form fields and features. On Formplus, you can also find different online survey templates for data collection. 

One of the many advantages of online surveys is accuracy as it typically records a lower margin of error than paper surveys. Also, online surveys are easier to administer as you can share them with respondents via email or social media channels. 

Advantages of Surveys

• Surveys allow you to gather data from a large sample size or research population. This helps to improve the validity and accuracy of your research findings. 
• The cost of creating and administering a survey is usually lower compared to other research methods. 
• It is a convenient method of data collection for the researcher and the respondents. 

Disadvantages of Surveys

• The validity of the research data can be affected by survey response bias. 
• High survey dropout rates can also affect the number of responses received in your survey. 

Observation  

Just as the name suggests, observation is a method of gathering data by paying attention to the actions and behaviors of the research subjects as they interact in their environment. This qualitative research method allows you to get first-hand information about the research subjects in line with the aims and objectives of your systematic investigation. 

If you have tried out this survey method, then you must have come across one or more of the 4 types of observation in research. These are; Complete observer method, observer as participant method, participant as observer method, and complete participant method. 

In the complete observer method , the researcher is entirely detached or absorbed from the research environment. This means that the participants are completely unaware of the researcher’s presence and this allows them to act naturally as they interact with their environment. You can think of it as a remote observation. 

The observer as participant method requires the researcher to be involved in the research environment; albeit with limited interaction with the participants. The participants typically know the researcher and may also be familiar with the goals and objectives of the systematic investigation. 

A good example of this is when a researcher visits a school to understand how students interact with each other during extra-curricular activities. In this case, the students may be fully aware of the research process; although they may not interact with the researcher. 

In the participant as observer method , the researcher has some kind of relationship with the participants and interacts with them often as he or she carries out the investigation. For instance, when an anthropologist goes to a host community for research, s/he builds a relationship with members of the community while the host community is aware of the research. 

In the complete participant method , the researcher interacts with the research participants and is also an active member of the research environment. However, the research participants remain unaware of the research process; they do not know that a researcher is among them and they also do not know that they are being observed. 

Advantages of Observation Method

• It is one of the simplest methods of data collection as it does not require specialization or expertise in many cases.
• The observation method helps you to formulate a valid research hypothesis for your systematic investigation. You can test this hypothesis via experimental research to get valid findings.  

Disadvantages of Observation Method

• When the participants know they are being observed, they may act differently and this can affect the accuracy of the information you gather. 
• Because observation is done in the participant’s natural environment; that is an environment without control, the findings from this process are not very reliable. 

Focus Groups

A focus group is an open conversation with a small number of carefully-selected participants who provide useful information for research. The selected participants are a subset of your research population and should represent the different groups in the larger population. 

In a focus group, the researcher can act as the moderator who sets the tone of the conversation and guides the discourse. The moderator ensures that the overall conversations are in line with the aims and objectives of the research and he or she also reduces the bias in the discussions.  

If you are conducting qualitative research with a large and diverse research population, then adopting focus groups is an effective and cost-efficient method of data collection . Typically, your focus group should have 6-10 participants, usually 8; including the moderator. 

Based on the focus of your research, you can adopt one or more types of focus groups for your investigation. Common types of focus groups you should consider include:

• Dual-moderator focus group
• Mini focus group
• Client-involvement focus group
• Virtual or online focus groups. 

Advantages of Focus Groups

• Focus groups are open-ended and this allows you to explore a variety of opinions and ideas that may come up during the discussions. 
• Focus groups help you to discover other salient points that you may not have considered in the systematic investigation. 

Disadvantages of Focus Groups

• Participants may not communicate their true thoughts and experiences and this affects the validity of the entire process.
• Participants can be easily influenced by the opinions of other people in the group. 

How to Conduct Online Surveys with Formplus  

As we’ve mentioned earlier, an online survey allows you to gather data from a large pool of respondents easily and conveniently. Unlike paper forms, online surveys are secure and it is also easy to distribute them and collate responses for valid research data. 

Formplus allows you to create your online surve y in a few easy steps. It also has several features that make data collection and organization easy for you. Let’s show you how to conduct online surveys with Formplus. 

• Create your Formplus account here. If you already have a Formplus account, you can log in at www.formpl.us . 

• On your Formplus dashboard, you will find several buttons and options. Click on the “create new form” button located at the top left corner of the dashboard to begin. 
• Now, you should have access to the form builder. The Formplus builder allows you to add different form fields to your survey by simply dragging and dropping them from the builder’s fields section into your form. You will find the fields section at the left corner of the form builder. 

• First, add the title of your form by clicking on the title tab just at the top of the builder. 
• Next, click on the different fields you’d like to have in your survey. You can add rating fields, number fields, and more than 30 other form fields as you like. 

• After adding the fields to your survey, it is time to populate them with questions and answer-options as needed. Click on the small pencil icon located beside each field to access their unique editing tab. 
• Apart from adding questions and answer-options to the fields, you can also make preferred fields to be compulsory or make them read-only. 
• Save all the changes you have made to the form by clicking on the save icon at the top right corner. This gives you immediate access to the builder’s customization section. 

• Formplus has numerous customization options that you can use to change the outlook and layout of your online survey without any knowledge of CSS. You can change your form font, add your organization’s logo, and also add preferred background images among other things. 

• To start collecting responses in your online survey, you can use any of the Formplus multiple form sharing options. Go to the builder’s “share” section, choose your preferred option, and follow the prompt provided. If you have a WordPress website, you can add the survey to it via the WordPress plugin. 

• Don’t forget to track your form responses and other important data in our form analytics dashboard. 

Advantages of Online Surveys

• Online surveys are a faster method of data collection : They help you to save time by accelerating your data collection process. Typically, respondents would spend ⅓ of the time used in completing a paper survey for an online survey. This means you will record almost-immediate responses from participants.  
• Apart from saving time, you also get to save cost. For instance, you do not have to spend money on printing paper surveys and transporting them to respondents. Also, many online survey tools have a free subscription plan and also support affordable premium subscription plans. You can check out Formplus pricing here . 
• Online surveys reduce the margin of error in data collection. This allows you to gather more accurate information and arrive at objective research findings. 
• It is flexible and allows participants to respond as is convenient. For instance, Formplus has a save and resume later feature that allows respondents to save an incomplete survey and finish up when it is more convenient. The order of the questions in an online survey can also be changed. 
• Online surveys make the data collection process easy and seamless. By leveraging the internet for distribution, you can gather information from thousands of people in your target population. 
• Because online surveys are very convenient, they result in increased survey response rates because participants can complete the survey according to their own pace, chosen time, and preferences.

Conclusion  

When conducting research, many survey methods can help you to gather, analyze and process data effectively. In this article, we have looked at some of these methods in detail including interviews, focus groups, and the observation approach. 

As we’ve shown you, each of these survey methods has its strengths and weaknesses. This is why your choice should be informed by the type of research you are conducting and what you want to get out of it. While some of these methods work best for qualitative research, others are better suited for quantitative data collection . 

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Qualitative research method-interviewing and observation

Shazia jamshed.

Department of Pharmacy Practice, Kulliyyah of Pharmacy, International Islamic University Malaysia, Kuantan Campus, Pahang, Malaysia

Buckley and Chiang define research methodology as “a strategy or architectural design by which the researcher maps out an approach to problem-finding or problem-solving.”[ 1 ] According to Crotty, research methodology is a comprehensive strategy ‘that silhouettes our choice and use of specific methods relating them to the anticipated outcomes,[ 2 ] but the choice of research methodology is based upon the type and features of the research problem.[ 3 ] According to Johnson et al . mixed method research is “a class of research where the researcher mixes or combines quantitative and qualitative research techniques, methods, approaches, theories and or language into a single study.[ 4 ] In order to have diverse opinions and views, qualitative findings need to be supplemented with quantitative results.[ 5 ] Therefore, these research methodologies are considered to be complementary to each other rather than incompatible to each other.[ 6 ]

Qualitative research methodology is considered to be suitable when the researcher or the investigator either investigates new field of study or intends to ascertain and theorize prominent issues.[ 6 , 7 ] There are many qualitative methods which are developed to have an in depth and extensive understanding of the issues by means of their textual interpretation and the most common types are interviewing and observation.[ 7 ]

Interviewing

This is the most common format of data collection in qualitative research. According to Oakley, qualitative interview is a type of framework in which the practices and standards be not only recorded, but also achieved, challenged and as well as reinforced.[ 8 ] As no research interview lacks structure[ 9 ] most of the qualitative research interviews are either semi-structured, lightly structured or in-depth.[ 9 ] Unstructured interviews are generally suggested in conducting long-term field work and allow respondents to let them express in their own ways and pace, with minimal hold on respondents’ responses.[ 10 ]

Pioneers of ethnography developed the use of unstructured interviews with local key informants that is., by collecting the data through observation and record field notes as well as to involve themselves with study participants. To be precise, unstructured interview resembles a conversation more than an interview and is always thought to be a “controlled conversation,” which is skewed towards the interests of the interviewer.[ 11 ] Non-directive interviews, form of unstructured interviews are aimed to gather in-depth information and usually do not have pre-planned set of questions.[ 11 ] Another type of the unstructured interview is the focused interview in which the interviewer is well aware of the respondent and in times of deviating away from the main issue the interviewer generally refocuses the respondent towards key subject.[ 11 ] Another type of the unstructured interview is an informal, conversational interview, based on unplanned set of questions that are generated instantaneously during the interview.[ 11 ]

In contrast, semi-structured interviews are those in-depth interviews where the respondents have to answer preset open-ended questions and thus are widely employed by different healthcare professionals in their research. Semi-structured, in-depth interviews are utilized extensively as interviewing format possibly with an individual or sometimes even with a group.[ 6 ] These types of interviews are conducted once only, with an individual or with a group and generally cover the duration of 30 min to more than an hour.[ 12 ] Semi-structured interviews are based on semi-structured interview guide, which is a schematic presentation of questions or topics and need to be explored by the interviewer.[ 12 ] To achieve optimum use of interview time, interview guides serve the useful purpose of exploring many respondents more systematically and comprehensively as well as to keep the interview focused on the desired line of action.[ 12 ] The questions in the interview guide comprise of the core question and many associated questions related to the central question, which in turn, improve further through pilot testing of the interview guide.[ 7 ] In order to have the interview data captured more effectively, recording of the interviews is considered an appropriate choice but sometimes a matter of controversy among the researcher and the respondent. Hand written notes during the interview are relatively unreliable, and the researcher might miss some key points. The recording of the interview makes it easier for the researcher to focus on the interview content and the verbal prompts and thus enables the transcriptionist to generate “verbatim transcript” of the interview.

Similarly, in focus groups, invited groups of people are interviewed in a discussion setting in the presence of the session moderator and generally these discussions last for 90 min.[ 7 ] Like every research technique having its own merits and demerits, group discussions have some intrinsic worth of expressing the opinions openly by the participants. On the contrary in these types of discussion settings, limited issues can be focused, and this may lead to the generation of fewer initiatives and suggestions about research topic.

Observation

Observation is a type of qualitative research method which not only included participant's observation, but also covered ethnography and research work in the field. In the observational research design, multiple study sites are involved. Observational data can be integrated as auxiliary or confirmatory research.[ 11 ]

Research can be visualized and perceived as painstaking methodical efforts to examine, investigate as well as restructure the realities, theories and applications. Research methods reflect the approach to tackling the research problem. Depending upon the need, research method could be either an amalgam of both qualitative and quantitative or qualitative or quantitative independently. By adopting qualitative methodology, a prospective researcher is going to fine-tune the pre-conceived notions as well as extrapolate the thought process, analyzing and estimating the issues from an in-depth perspective. This could be carried out by one-to-one interviews or as issue-directed discussions. Observational methods are, sometimes, supplemental means for corroborating research findings.

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Survey Research – Types, Methods, Examples

Table of Contents

Survey Research

Definition:

Survey Research is a quantitative research method that involves collecting standardized data from a sample of individuals or groups through the use of structured questionnaires or interviews. The data collected is then analyzed statistically to identify patterns and relationships between variables, and to draw conclusions about the population being studied.

Survey research can be used to answer a variety of questions, including:

• What are people’s opinions about a certain topic?
• What are people’s experiences with a certain product or service?
• What are people’s beliefs about a certain issue?

Survey Research Methods

Survey Research Methods are as follows:

• Telephone surveys: A survey research method where questions are administered to respondents over the phone, often used in market research or political polling.
• Face-to-face surveys: A survey research method where questions are administered to respondents in person, often used in social or health research.
• Mail surveys: A survey research method where questionnaires are sent to respondents through mail, often used in customer satisfaction or opinion surveys.
• Online surveys: A survey research method where questions are administered to respondents through online platforms, often used in market research or customer feedback.
• Email surveys: A survey research method where questionnaires are sent to respondents through email, often used in customer satisfaction or opinion surveys.
• Mixed-mode surveys: A survey research method that combines two or more survey modes, often used to increase response rates or reach diverse populations.
• Computer-assisted surveys: A survey research method that uses computer technology to administer or collect survey data, often used in large-scale surveys or data collection.
• Interactive voice response surveys: A survey research method where respondents answer questions through a touch-tone telephone system, often used in automated customer satisfaction or opinion surveys.
• Mobile surveys: A survey research method where questions are administered to respondents through mobile devices, often used in market research or customer feedback.
• Group-administered surveys: A survey research method where questions are administered to a group of respondents simultaneously, often used in education or training evaluation.
• Web-intercept surveys: A survey research method where questions are administered to website visitors, often used in website or user experience research.
• In-app surveys: A survey research method where questions are administered to users of a mobile application, often used in mobile app or user experience research.
• Social media surveys: A survey research method where questions are administered to respondents through social media platforms, often used in social media or brand awareness research.
• SMS surveys: A survey research method where questions are administered to respondents through text messaging, often used in customer feedback or opinion surveys.
• IVR surveys: A survey research method where questions are administered to respondents through an interactive voice response system, often used in automated customer feedback or opinion surveys.
• Mixed-method surveys: A survey research method that combines both qualitative and quantitative data collection methods, often used in exploratory or mixed-method research.
• Drop-off surveys: A survey research method where respondents are provided with a survey questionnaire and asked to return it at a later time or through a designated drop-off location.
• Intercept surveys: A survey research method where respondents are approached in public places and asked to participate in a survey, often used in market research or customer feedback.
• Hybrid surveys: A survey research method that combines two or more survey modes, data sources, or research methods, often used in complex or multi-dimensional research questions.

Types of Survey Research

There are several types of survey research that can be used to collect data from a sample of individuals or groups. following are Types of Survey Research:

• Cross-sectional survey: A type of survey research that gathers data from a sample of individuals at a specific point in time, providing a snapshot of the population being studied.
• Longitudinal survey: A type of survey research that gathers data from the same sample of individuals over an extended period of time, allowing researchers to track changes or trends in the population being studied.
• Panel survey: A type of longitudinal survey research that tracks the same sample of individuals over time, typically collecting data at multiple points in time.
• Epidemiological survey: A type of survey research that studies the distribution and determinants of health and disease in a population, often used to identify risk factors and inform public health interventions.
• Observational survey: A type of survey research that collects data through direct observation of individuals or groups, often used in behavioral or social research.
• Correlational survey: A type of survey research that measures the degree of association or relationship between two or more variables, often used to identify patterns or trends in data.
• Experimental survey: A type of survey research that involves manipulating one or more variables to observe the effect on an outcome, often used to test causal hypotheses.
• Descriptive survey: A type of survey research that describes the characteristics or attributes of a population or phenomenon, often used in exploratory research or to summarize existing data.
• Diagnostic survey: A type of survey research that assesses the current state or condition of an individual or system, often used in health or organizational research.
• Explanatory survey: A type of survey research that seeks to explain or understand the causes or mechanisms behind a phenomenon, often used in social or psychological research.
• Process evaluation survey: A type of survey research that measures the implementation and outcomes of a program or intervention, often used in program evaluation or quality improvement.
• Impact evaluation survey: A type of survey research that assesses the effectiveness or impact of a program or intervention, often used to inform policy or decision-making.
• Customer satisfaction survey: A type of survey research that measures the satisfaction or dissatisfaction of customers with a product, service, or experience, often used in marketing or customer service research.
• Market research survey: A type of survey research that collects data on consumer preferences, behaviors, or attitudes, often used in market research or product development.
• Public opinion survey: A type of survey research that measures the attitudes, beliefs, or opinions of a population on a specific issue or topic, often used in political or social research.
• Behavioral survey: A type of survey research that measures actual behavior or actions of individuals, often used in health or social research.
• Attitude survey: A type of survey research that measures the attitudes, beliefs, or opinions of individuals, often used in social or psychological research.
• Opinion poll: A type of survey research that measures the opinions or preferences of a population on a specific issue or topic, often used in political or media research.
• Ad hoc survey: A type of survey research that is conducted for a specific purpose or research question, often used in exploratory research or to answer a specific research question.

Types Based on Methodology

Based on Methodology Survey are divided into two Types:

Quantitative Survey Research

Qualitative survey research.

Quantitative survey research is a method of collecting numerical data from a sample of participants through the use of standardized surveys or questionnaires. The purpose of quantitative survey research is to gather empirical evidence that can be analyzed statistically to draw conclusions about a particular population or phenomenon.

In quantitative survey research, the questions are structured and pre-determined, often utilizing closed-ended questions, where participants are given a limited set of response options to choose from. This approach allows for efficient data collection and analysis, as well as the ability to generalize the findings to a larger population.

Quantitative survey research is often used in market research, social sciences, public health, and other fields where numerical data is needed to make informed decisions and recommendations.

Qualitative survey research is a method of collecting non-numerical data from a sample of participants through the use of open-ended questions or semi-structured interviews. The purpose of qualitative survey research is to gain a deeper understanding of the experiences, perceptions, and attitudes of participants towards a particular phenomenon or topic.

In qualitative survey research, the questions are open-ended, allowing participants to share their thoughts and experiences in their own words. This approach allows for a rich and nuanced understanding of the topic being studied, and can provide insights that are difficult to capture through quantitative methods alone.

Qualitative survey research is often used in social sciences, education, psychology, and other fields where a deeper understanding of human experiences and perceptions is needed to inform policy, practice, or theory.

Data Analysis Methods

There are several Survey Research Data Analysis Methods that researchers may use, including:

• Descriptive statistics: This method is used to summarize and describe the basic features of the survey data, such as the mean, median, mode, and standard deviation. These statistics can help researchers understand the distribution of responses and identify any trends or patterns.
• Inferential statistics: This method is used to make inferences about the larger population based on the data collected in the survey. Common inferential statistical methods include hypothesis testing, regression analysis, and correlation analysis.
• Factor analysis: This method is used to identify underlying factors or dimensions in the survey data. This can help researchers simplify the data and identify patterns and relationships that may not be immediately apparent.
• Cluster analysis: This method is used to group similar respondents together based on their survey responses. This can help researchers identify subgroups within the larger population and understand how different groups may differ in their attitudes, behaviors, or preferences.
• Structural equation modeling: This method is used to test complex relationships between variables in the survey data. It can help researchers understand how different variables may be related to one another and how they may influence one another.
• Content analysis: This method is used to analyze open-ended responses in the survey data. Researchers may use software to identify themes or categories in the responses, or they may manually review and code the responses.
• Text mining: This method is used to analyze text-based survey data, such as responses to open-ended questions. Researchers may use software to identify patterns and themes in the text, or they may manually review and code the text.

Applications of Survey Research

Here are some common applications of survey research:

• Market Research: Companies use survey research to gather insights about customer needs, preferences, and behavior. These insights are used to create marketing strategies and develop new products.
• Public Opinion Research: Governments and political parties use survey research to understand public opinion on various issues. This information is used to develop policies and make decisions.
• Social Research: Survey research is used in social research to study social trends, attitudes, and behavior. Researchers use survey data to explore topics such as education, health, and social inequality.
• Academic Research: Survey research is used in academic research to study various phenomena. Researchers use survey data to test theories, explore relationships between variables, and draw conclusions.
• Customer Satisfaction Research: Companies use survey research to gather information about customer satisfaction with their products and services. This information is used to improve customer experience and retention.
• Employee Surveys: Employers use survey research to gather feedback from employees about their job satisfaction, working conditions, and organizational culture. This information is used to improve employee retention and productivity.
• Health Research: Survey research is used in health research to study topics such as disease prevalence, health behaviors, and healthcare access. Researchers use survey data to develop interventions and improve healthcare outcomes.

Examples of Survey Research

Here are some real-time examples of survey research:

• COVID-19 Pandemic Surveys: Since the outbreak of the COVID-19 pandemic, surveys have been conducted to gather information about public attitudes, behaviors, and perceptions related to the pandemic. Governments and healthcare organizations have used this data to develop public health strategies and messaging.
• Political Polls During Elections: During election seasons, surveys are used to measure public opinion on political candidates, policies, and issues in real-time. This information is used by political parties to develop campaign strategies and make decisions.
• Customer Feedback Surveys: Companies often use real-time customer feedback surveys to gather insights about customer experience and satisfaction. This information is used to improve products and services quickly.
• Event Surveys: Organizers of events such as conferences and trade shows often use surveys to gather feedback from attendees in real-time. This information can be used to improve future events and make adjustments during the current event.
• Website and App Surveys: Website and app owners use surveys to gather real-time feedback from users about the functionality, user experience, and overall satisfaction with their platforms. This feedback can be used to improve the user experience and retain customers.
• Employee Pulse Surveys: Employers use real-time pulse surveys to gather feedback from employees about their work experience and overall job satisfaction. This feedback is used to make changes in real-time to improve employee retention and productivity.

Survey Sample

Purpose of survey research.

The purpose of survey research is to gather data and insights from a representative sample of individuals. Survey research allows researchers to collect data quickly and efficiently from a large number of people, making it a valuable tool for understanding attitudes, behaviors, and preferences.

Here are some common purposes of survey research:

• Descriptive Research: Survey research is often used to describe characteristics of a population or a phenomenon. For example, a survey could be used to describe the characteristics of a particular demographic group, such as age, gender, or income.
• Exploratory Research: Survey research can be used to explore new topics or areas of research. Exploratory surveys are often used to generate hypotheses or identify potential relationships between variables.
• Explanatory Research: Survey research can be used to explain relationships between variables. For example, a survey could be used to determine whether there is a relationship between educational attainment and income.
• Evaluation Research: Survey research can be used to evaluate the effectiveness of a program or intervention. For example, a survey could be used to evaluate the impact of a health education program on behavior change.
• Monitoring Research: Survey research can be used to monitor trends or changes over time. For example, a survey could be used to monitor changes in attitudes towards climate change or political candidates over time.

When to use Survey Research

there are certain circumstances where survey research is particularly appropriate. Here are some situations where survey research may be useful:

• When the research question involves attitudes, beliefs, or opinions: Survey research is particularly useful for understanding attitudes, beliefs, and opinions on a particular topic. For example, a survey could be used to understand public opinion on a political issue.
• When the research question involves behaviors or experiences: Survey research can also be useful for understanding behaviors and experiences. For example, a survey could be used to understand the prevalence of a particular health behavior.
• When a large sample size is needed: Survey research allows researchers to collect data from a large number of people quickly and efficiently. This makes it a useful method when a large sample size is needed to ensure statistical validity.
• When the research question is time-sensitive: Survey research can be conducted quickly, which makes it a useful method when the research question is time-sensitive. For example, a survey could be used to understand public opinion on a breaking news story.
• When the research question involves a geographically dispersed population: Survey research can be conducted online, which makes it a useful method when the population of interest is geographically dispersed.

How to Conduct Survey Research

Conducting survey research involves several steps that need to be carefully planned and executed. Here is a general overview of the process:

• Define the research question: The first step in conducting survey research is to clearly define the research question. The research question should be specific, measurable, and relevant to the population of interest.
• Develop a survey instrument : The next step is to develop a survey instrument. This can be done using various methods, such as online survey tools or paper surveys. The survey instrument should be designed to elicit the information needed to answer the research question, and should be pre-tested with a small sample of individuals.
• Select a sample : The sample is the group of individuals who will be invited to participate in the survey. The sample should be representative of the population of interest, and the size of the sample should be sufficient to ensure statistical validity.
• Administer the survey: The survey can be administered in various ways, such as online, by mail, or in person. The method of administration should be chosen based on the population of interest and the research question.
• Analyze the data: Once the survey data is collected, it needs to be analyzed. This involves summarizing the data using statistical methods, such as frequency distributions or regression analysis.
• Draw conclusions: The final step is to draw conclusions based on the data analysis. This involves interpreting the results and answering the research question.

Advantages of Survey Research

There are several advantages to using survey research, including:

• Efficient data collection: Survey research allows researchers to collect data quickly and efficiently from a large number of people. This makes it a useful method for gathering information on a wide range of topics.
• Standardized data collection: Surveys are typically standardized, which means that all participants receive the same questions in the same order. This ensures that the data collected is consistent and reliable.
• Cost-effective: Surveys can be conducted online, by mail, or in person, which makes them a cost-effective method of data collection.
• Anonymity: Participants can remain anonymous when responding to a survey. This can encourage participants to be more honest and open in their responses.
• Easy comparison: Surveys allow for easy comparison of data between different groups or over time. This makes it possible to identify trends and patterns in the data.
• Versatility: Surveys can be used to collect data on a wide range of topics, including attitudes, beliefs, behaviors, and preferences.

Limitations of Survey Research

Here are some of the main limitations of survey research:

• Limited depth: Surveys are typically designed to collect quantitative data, which means that they do not provide much depth or detail about people’s experiences or opinions. This can limit the insights that can be gained from the data.
• Potential for bias: Surveys can be affected by various biases, including selection bias, response bias, and social desirability bias. These biases can distort the results and make them less accurate.
• L imited validity: Surveys are only as valid as the questions they ask. If the questions are poorly designed or ambiguous, the results may not accurately reflect the respondents’ attitudes or behaviors.
• Limited generalizability : Survey results are only generalizable to the population from which the sample was drawn. If the sample is not representative of the population, the results may not be generalizable to the larger population.
• Limited ability to capture context: Surveys typically do not capture the context in which attitudes or behaviors occur. This can make it difficult to understand the reasons behind the responses.
• Limited ability to capture complex phenomena: Surveys are not well-suited to capture complex phenomena, such as emotions or the dynamics of interpersonal relationships.

Following is an example of a Survey Sample:

Welcome to our Survey Research Page! We value your opinions and appreciate your participation in this survey. Please answer the questions below as honestly and thoroughly as possible.

1. What is your age?

• A) Under 18
• G) 65 or older

2. What is your highest level of education completed?

• A) Less than high school
• B) High school or equivalent
• C) Some college or technical school
• D) Bachelor’s degree
• E) Graduate or professional degree

3. What is your current employment status?

• A) Employed full-time
• B) Employed part-time
• C) Self-employed
• D) Unemployed

4. How often do you use the internet per day?

•  A) Less than 1 hour
• B) 1-3 hours
• C) 3-5 hours
• D) 5-7 hours
• E) More than 7 hours

5. How often do you engage in social media per day?

6. Have you ever participated in a survey research study before?

7. If you have participated in a survey research study before, how was your experience?

• A) Excellent
• E) Very poor

8. What are some of the topics that you would be interested in participating in a survey research study about?

……………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………….

9. How often would you be willing to participate in survey research studies?

• A) Once a week
• B) Once a month
• C) Once every 6 months
• D) Once a year

10. Any additional comments or suggestions?

Thank you for taking the time to complete this survey. Your feedback is important to us and will help us improve our survey research efforts.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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9.3: Interview Survey

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Interviews are a more personalized form of data collection method than questionnaires, and are conducted by trained interviewers using the same research protocol as questionnaire surveys (i.e., a standardized set of questions). However, unlike a questionnaire, the interview script may contain special instructions for the interviewer that is not seen by respondents, and may include space for the interviewer to record personal observations and comments. In addition, unlike mail surveys, the interviewer has the opportunity to clarify any issues raised by the respondent or ask probing or follow-up questions. However, interviews are timeconsuming and resource-intensive. Special interviewing skills are needed on part of the interviewer. The interviewer is also considered to be part of the measurement instrument, and must proactively strive not to artificially bias the observed responses.

The most typical form of interview is personal or face-to-face interview , where the interviewer works directly with the respondent to ask questions and record their responses. Personal interviews may be conducted at the respondent’s home or office location. This approach may even be favored by some respondents, while others may feel uncomfortable in allowing a stranger in their homes. However, skilled interviewers can persuade respondents to cooperate, dramatically improving response rates.

A variation of the personal interview is a group interview, also called focus group . In this technique, a small group of respondents (usually 6-10 respondents) are interviewed together in a common location. The interviewer is essentially a facilitator whose job is to lead the discussion, and ensure that every person has an opportunity to respond. Focus groups allow deeper examination of complex issues than other forms of survey research, because when people hear others talk, it often triggers responses or ideas that they did not think about before. However, focus group discussion may be dominated by a dominant personality, and some individuals may be reluctant to voice their opinions in front of their peers or superiors, especially while dealing with a sensitive issue such as employee underperformance or office politics. Because of their small sample size, focus groups are usually used for exploratory research rather than descriptive or explanatory research.

A third type of interview survey is telephone interviews . In this technique, interviewers contact potential respondents over the phone, typically based on a random selection of people from a telephone directory, to ask a standard set of survey questions. A more recent and technologically advanced approach is computer-assisted telephone interviewing (CATI), increasing being used by academic, government, and commercial survey researchers, where the interviewer is a telephone operator, who is guided through the interview process by a computer program displaying instructions and questions to be asked on a computer screen. The system also selects respondents randomly using a random digit dialing technique, and records responses using voice capture technology. Once respondents are on the phone, higher response rates can be obtained. This technique is not ideal for rural areas where telephone density is low, and also cannot be used for communicating non-audio information such as graphics or product demonstrations.

Role of interviewer

The interviewer has a complex and multi-faceted role in the interview process, which includes the following tasks:

• Prepare for the interview : Since the interviewer is in the forefront of the data collection effort, the quality of data collected depends heavily on how well the interviewer is trained to do the job. The interviewer must be trained in the interview process and the survey method, and also be familiar with the purpose of the study, how responses will be stored and used, and sources of interviewer bias. He/she should also rehearse and time the interview prior to the formal study.
• Locate and enlist the cooperation of respondents : Particularly in personal, in-home surveys, the interviewer must locate specific addresses, and work around respondents’ schedule sometimes at undesirable times such as during weekends. They should also be like a salesperson, selling the idea of participating in the study.
• Motivate respondents : Respondents often feed off the motivation of the interviewer. If the interviewer is disinterested or inattentive, respondents won’t be motivated to provide useful or informative responses either. The interviewer must demonstrate enthusiasm about the study, communicate the importance of the research to respondents, and be attentive to respondents’ needs throughout the interview.
• Clarify any confusion or concerns : Interviewers must be able to think on their feet and address unanticipated concerns or objections raised by respondents to the respondents’ satisfaction. Additionally, they should ask probing questions as necessary even if such questions are not in the script.
• Observe quality of response : The interviewer is in the best position to judge the quality of information collected, and may supplement responses obtained using personal observations of gestures or body language as appropriate.

• Harvard Library
• Research Guides
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Library Support for Qualitative Research

• Interview Research
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Resources for Research Interviewing

Nih-funded qualitative research.

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Types of Interviews

• Engaging Participants

Interview Questions

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Textbooks, Guidebooks, and Handbooks  

• The Ethnographic Interview by James P. Spradley  “Spradley wrote this book for the professional and student who have never done ethnographic fieldwork (p. 231) and for the professional ethnographer who is interested in adapting the author’s procedures (p. iv). Part 1 outlines in 3 chapters Spradley’s version of ethnographic research, and it provides the background for Part 2 which consists of 12 guided steps (chapters) ranging from locating and interviewing an informant to writing an ethnography. Most of the examples come from the author’s own fieldwork among U.S. subcultures . . . Steps 6 and 8 explain lucidly how to construct a domain and a taxonomic analysis” (excerpted from book review by James D. Sexton, 1980).  
• Fundamentals of Qualitative Research by Johnny Saldana (Series edited by Patricia Leavy)  Provides a soup-to-nuts overview of the qualitative data collection process, including interviewing, participant observation, and other methods.  
• InterViews by Steinar Kvale  Interviewing is an essential tool in qualitative research and this introduction to interviewing outlines both the theoretical underpinnings and the practical aspects of the process. After examining the role of the interview in the research process, Steinar Kvale considers some of the key philosophical issues relating to interviewing: the interview as conversation, hermeneutics, phenomenology, concerns about ethics as well as validity, and postmodernism. Having established this framework, the author then analyzes the seven stages of the interview process - from designing a study to writing it up.  
• Practical Evaluation by Michael Quinn Patton  Surveys different interviewing strategies, from, a) informal/conversational, to b) interview guide approach, to c) standardized and open-ended, to d) closed/quantitative. Also discusses strategies for wording questions that are open-ended, clear, sensitive, and neutral, while supporting the speaker. Provides suggestions for probing and maintaining control of the interview process, as well as suggestions for recording and transcription.  
• The SAGE Handbook of Interview Research by Amir B. Marvasti (Editor); James A. Holstein (Editor); Jaber F. Gubrium (Editor); Karyn D. McKinney (Editor)  The new edition of this landmark volume emphasizes the dynamic, interactional, and reflexive dimensions of the research interview. Contributors highlight the myriad dimensions of complexity that are emerging as researchers increasingly frame the interview as a communicative opportunity as much as a data-gathering format. The book begins with the history and conceptual transformations of the interview, which is followed by chapters that discuss the main components of interview practice. Taken together, the contributions to The SAGE Handbook of Interview Research: The Complexity of the Craft encourage readers simultaneously to learn the frameworks and technologies of interviewing and to reflect on the epistemological foundations of the interview craft.  
• The SAGE Handbook of Online Research Methods by Nigel G. Fielding, Raymond M. Lee and Grant Blank (Editors) Bringing together the leading names in both qualitative and quantitative online research, this new edition is organised into nine sections: 1. Online Research Methods 2. Designing Online Research 3. Online Data Capture and Data Collection 4. The Online Survey 5. Digital Quantitative Analysis 6. Digital Text Analysis 7. Virtual Ethnography 8. Online Secondary Analysis: Resources and Methods 9. The Future of Online Social Research

ONLINE RESOURCES, COMMUNITIES, AND DATABASES  

• Interviews as a Method for Qualitative Research (video) This short video summarizes why interviews can serve as useful data in qualitative research.  
• Companion website to Bloomberg and Volpe's  Completing Your Qualitative Dissertation: A Road Map from Beginning to End,  4th ed Provides helpful templates and appendices featured in the book, as well as links to other useful dissertation resources.
• International Congress of Qualitative Inquiry Annual conference hosted by the International Center for Qualitative Inquiry at the University of Illinois at Urbana-Champaign, which aims to facilitate the development of qualitative research methods across a wide variety of academic disciplines, among other initiatives.  
• METHODSPACE ​​​​​​​​An online home of the research methods community, where practicing researchers share how to make research easier.  
• SAGE researchmethods ​​​​​​​Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. A "methods map" facilitates finding content on methods.

The decision to conduct interviews, and the type of interviewing to use, should flow from, or align with, the methodological paradigm chosen for your study, whether that paradigm is interpretivist, critical, positivist, or participative in nature (or a combination of these).

Structured:

• Structured Interview. Entry in The SAGE Encyclopedia of Social Science Research Methodsby Floyd J. Fowler Jr., Editors: Michael S. Lewis-Beck; Alan E. Bryman; Tim Futing Liao (Editor)  A concise article noting standards, procedures, and recommendations for developing and testing structured interviews. For an example of structured interview questions, you may view the Current Population Survey, May 2008: Public Participation in the Arts Supplement (ICPSR 29641), Apr 15, 2011 at https://doi.org/10.3886/ICPSR29641.v1 (To see the survey questions, preview the user guide, which can be found under the "Data and Documentation" tab. Then, look for page 177 (attachment 8).

Semi-Structured:

• Semi-Structured Interview. Entry in The SAGE Encyclopedia of Qualitative Research Methodsby Lioness Ayres; Editor: Lisa M. Given  The semi-structured interview is a qualitative data collection strategy in which the researcher asks informants a series of predetermined but open-ended questions. The researcher has more control over the topics of the interview than in unstructured interviews, but in contrast to structured interviews or questionnaires that use closed questions, there is no fixed range of responses to each question.

Unstructured:

• Unstructured Interview. Entry in The SAGE Encyclopedia of Qualitative Research Methodsby Michael W. Firmin; Editor: Lisa M. Given  Unstructured interviews in qualitative research involve asking relatively open-ended questions of research participants in order to discover their percepts on the topic of interest. Interviews, in general, are a foundational means of collecting data when using qualitative research methods. They are designed to draw from the interviewee constructs embedded in his or her thinking and rationale for decision making. The researcher uses an inductive method in data gathering, regardless of whether the interview method is open, structured, or semi-structured. That is, the researcher does not wish to superimpose his or her own viewpoints onto the person being interviewed. Rather, inductively, the researcher wishes to understand the participant's perceptions, helping him or her to articulate percepts such that they will be understood clearly by the journal reader.

Genres and Uses

Focus groups:.

• "Focus Groups." Annual Review of Sociology 22 (1996): 129-1524.by David L. Morgan  Discusses the use of focus groups and group interviews as methods for gathering qualitative data used by sociologists and other academic and applied researchers. Focus groups are recommended for giving voice to marginalized groups and revealing the group effect on opinion formation.  
• Qualitative Research Methods: A Data Collector's Field Guide (See Module 4: "Focus Groups")by Mack, N., et al.  This field guide is based on an approach to doing team-based, collaborative qualitative research that has repeatedly proven successful in research projects sponsored by Family Health International (FHI) throughout the developing world. With its straightforward delivery of information on the main qualitative methods being used in public health research today, the guide speaks to the need for simple yet effective instruction on how to do systematic and ethically sound qualitative research. The aim of the guide is thus practical. In bypassing extensive discussion on the theoretical underpinnings of qualitative research, it distinguishes itself as a how-to guide to be used in the field.

In-Depth (typically One-on-One):

• A Practical Introduction to in-Depth Interviewingby Alan Morris  Are you new to qualitative research or a bit rusty and in need of some inspiration? Are you doing a research project involving in-depth interviews? Are you nervous about carrying out your interviews? This book will help you complete your qualitative research project by providing a nuts and bolts introduction to interviewing. With coverage of ethics, preparation strategies and advice for handling the unexpected in the field, this handy guide will help you get to grips with the basics of interviewing before embarking on your research. While recognising that your research question and the context of your research will drive your approach to interviewing, this book provides practical advice often skipped in traditional methods textbooks.  
• Qualitative Research Methods: A Data Collector's Field Guide (See Module 3: "In-Depth Interviews")by Mack, N., et al.  This field guide is based on an approach to doing team-based, collaborative qualitative research that has repeatedly proven successful in research projects sponsored by Family Health International (FHI) throughout the developing world. With its straightforward delivery of information on the main qualitative methods being used in public health research today, the guide speaks to the need for simple yet effective instruction on how to do systematic and ethically sound qualitative research. The aim of the guide is thus practical. In bypassing extensive discussion on the theoretical underpinnings of qualitative research, it distinguishes itself as a how-to guide to be used in the field.

Folklore Research and Oral Histories:

In addition to the following resource, see the  Oral History   page of this guide for helpful resources on Oral History interviewing.

American Folklife Center at the Library of Congress. Folklife and Fieldwork: A Layman’s Introduction to Field Techniques Interviews gathered for purposes of folklore research are similar to standard social science interviews in some ways, but also have a good deal in common with oral history approaches to interviewing. The focus in a folklore research interview is on documenting and trying to understand the interviewee's way of life relative to a culture or subculture you are studying. This guide includes helpful advice and tips for conducting fieldwork in folklore, such as tips for planning, conducting, recording, and archiving interviews.

An interdisciplinary scientific program within the Institute for Quantitative Social Science which encourages and facilitates research and instruction in the theory and practice of survey research. The primary mission of PSR is to provide survey research resources to enhance the quality of teaching and research at Harvard.

• Internet, Phone, Mail, and Mixed-Mode Surveysby Don A. Dillman; Jolene D. Smyth; Leah Melani Christian  The classic survey design reference, updated for the digital age. The new edition is thoroughly updated and revised, and covers all aspects of survey research. It features expanded coverage of mobile phones, tablets, and the use of do-it-yourself surveys, and Dillman's unique Tailored Design Method is also thoroughly explained. This new edition is complemented by copious examples within the text and accompanying website. It includes: Strategies and tactics for determining the needs of a given survey, how to design it, and how to effectively administer it. How and when to use mail, telephone, and Internet surveys to maximum advantage. Proven techniques to increase response rates. Guidance on how to obtain high-quality feedback from mail, electronic, and other self-administered surveys. Direction on how to construct effective questionnaires, including considerations of layout. The effects of sponsorship on the response rates of surveys. Use of capabilities provided by newly mass-used media: interactivity, presentation of aural and visual stimuli. The Fourth Edition reintroduces the telephone--including coordinating land and mobile.

User Experience (UX) and Marketing:

• See the  "UX & Market Research Interviews"  tab on this guide, above. May include  Focus Groups,  above.

Screening for Research Site Selection:

• Research interviews are used not only to furnish research data for theoretical analysis in the social sciences, but also to plan other kinds of studies. For example, interviews may allow researchers to screen appropriate research sites to conduct empirical studies (such as randomized controlled trials) in a variety of fields, from medicine to law. In contrast to interviews conducted in the course of social research, such interviews do not typically serve as the data for final analysis and publication.

ENGAGING PARTICIPANTS

Research ethics  .

• Human Subjects (IRB) The Committee on the Use of Human Subjects (CUHS) serves as the Institutional Review Board for the University area which includes the Cambridge and Allston campuses at Harvard. Find your IRB  contact person , or learn about  required ethics training.  You may also find the  IRB Lifecycle Guide  helpful. This is the preferred IRB portal for Harvard graduate students and other researchers. IRB forms can be downloaded via the  ESTR Library  (click on the "Templates and Forms" tab, then navigate to pages 2 and 3 to find the documents labelled with “HUA” for the Harvard University Area IRB. Nota bene: You may use these forms only if you submit your study to the Harvard University IRB). The IRB office can be reached through email at [email protected] or by telephone at (617) 496-2847.  
• Undergraduate Research Training Program (URTP) Portal The URTP at Harvard University is a comprehensive platform to create better prepared undergraduate researchers. The URTP is comprised of research ethics training sessions, a student-focused curriculum, and an online decision form that will assist students in determining whether their project requires IRB review. Students should examine the  URTP's guide for student researchers: Introduction to Human Subjects Research Protection.  
• Ethics reports From the Association of Internet Researchers (AoIR)  
• Respect, Beneficence, and Justice: QDR General Guidance for Human Participants If you are hoping to share your qualitative interview data in a repository after it has been collected, you will need to plan accordingly via informed consent, careful de-identification procedures, and data access controls. Consider  consulting with the Qualitative Research Support Group at Harvard Library  and consulting with  Harvard's Dataverse contacts  to help you think through all of the contingencies and processes.  
• "Conducting a Qualitative Child Interview: Methodological Considerations." Journal of Advanced Nursing 42/5 (2003): 434-441 by Kortesluoma, R., et al.  The purpose of this article is to illustrate the theoretical premises of child interviewing, as well as to describe some practical methodological solutions used during interviews. Factors that influence data gathered from children and strategies for taking these factors into consideration during the interview are also described.  
• "Crossing Cultural Barriers in Research Interviewing." Qualitative Social Work 63/3 (2007): 353-372 by Sands, R., et al.  This article critically examines a qualitative research interview in which cultural barriers between a white non-Muslim female interviewer and an African American Muslim interviewee, both from the USA, became evident and were overcome within the same interview.  
• Decolonizing Methodologies: Research and Indigenous Peoples by Linda Tuhiwai Smith  This essential volume explores intersections of imperialism and research - specifically, the ways in which imperialism is embedded in disciplines of knowledge and tradition as 'regimes of truth.' Concepts such as 'discovery' and 'claiming' are discussed and an argument presented that the decolonization of research methods will help to reclaim control over indigenous ways of knowing and being. The text includes case-studies and examples, and sections on new indigenous literature and the role of research in indigenous struggles for social justice.  

This resource, sponsored by University of Oregon Libraries, exemplifies the use of interviewing methodologies in research that foregrounds traditional knowledge. The methodology page summarizes the approach.

• Ethics: The Need to Tread Carefully. Chapter in A Practical Introduction to in-Depth Interviewing by Alan Morris  Pay special attention to the sections in chapter 2 on "How to prevent and respond to ethical issues arising in the course of the interview," "Ethics in the writing up of your interviews," and "The Ethics of Care."  
• Handbook on Ethical Issues in Anthropology by Joan Cassell (Editor); Sue-Ellen Jacobs (Editor)  This publication of the American Anthropological Association presents and discusses issues and sources on ethics in anthropology, as well as realistic case studies of ethical dilemmas. It is meant to help social science faculty introduce discussions of ethics in their courses. Some of the topics are relevant to interviews, or at least to studies of which interviews are a part. See chapters 3 and 4 for cases, with solutions and commentary, respectively.  
• Research Ethics from the Chanie Wenjack School for Indigenous Studies, Trent University  (Open Access) An overview of Indigenous research ethics and protocols from the across the globe.  
• Resources for Equity in Research Consult these resources for guidance on creating and incorporating equitable materials into public health research studies that entail community engagement.

The SAGE Handbook of Qualitative Research Ethics by Ron Iphofen (Editor); Martin Tolich (Editor)  This handbook is a much-needed and in-depth review of the distinctive set of ethical considerations which accompanies qualitative research. This is particularly crucial given the emergent, dynamic and interactional nature of most qualitative research, which too often allows little time for reflection on the important ethical responsibilities and obligations. Contributions from leading international researchers have been carefully organized into six key thematic sections: Part One: Thick Descriptions Of Qualitative Research Ethics; Part Two: Qualitative Research Ethics By Technique; Part Three: Ethics As Politics; Part Four: Qualitative Research Ethics With Vulnerable Groups; Part Five: Relational Research Ethics; Part Six: Researching Digitally. This Handbook is a one-stop resource on qualitative research ethics across the social sciences that draws on the lessons learned and the successful methods for surmounting problems - the tried and true, and the new.

RESEARCH COMPLIANCE AND PRIVACY LAWS

Research Compliance Program for FAS/SEAS at Harvard : The Faculty of Arts and Sciences (FAS), including the School of Engineering and Applied Sciences (SEAS), and the Office of the Vice Provost for Research (OVPR) have established a shared Research Compliance Program (RCP). An area of common concern for interview studies is international projects and collaboration . RCP is a resource to provide guidance on which international activities may be impacted by US sanctions on countries, individuals, or entities and whether licenses or other disclosure are required to ship or otherwise share items, technology, or data with foreign collaborators.

• Harvard Global Support Services (GSS) is for students, faculty, staff, and researchers who are studying, researching, or working abroad. Their services span safety and security, health, culture, outbound immigration, employment, financial and legal matters, and research center operations. These include travel briefings and registration, emergency response, guidance on international projects, and managing in-country operations.

Generative AI: Harvard-affiliated researchers should not enter data classified as confidential ( Level 2 and above ), including non-public research data, into publicly-available generative AI tools, in accordance with the University’s Information Security Policy. Information shared with generative AI tools using default settings is not private and could expose proprietary or sensitive information to unauthorized parties.

Privacy Laws: Be mindful of any potential privacy laws that may apply wherever you conduct your interviews. The General Data Protection Regulation is a high-profile example (see below):

• General Data Protection Regulation (GDPR) This Regulation lays down rules relating to the protection of natural persons with regard to the processing of personal data and rules relating to the free movement of personal data. It protects fundamental rights and freedoms of natural persons and in particular their right to the protection of personal data. The free movement of personal data within the Union shall be neither restricted nor prohibited for reasons connected with the protection of natural persons with regard to the processing of personal data. For a nice summary of what the GDPR requires, check out the GDPR "crash course" here .

SEEKING CONSENT  

If you would like to see examples of consent forms, ask your local IRB, or take a look at these resources:

• Model consent forms for oral history, suggested by the Centre for Oral History and Digital Storytelling at Concordia University  
• For NIH-funded research, see this  resource for developing informed consent language in research studies where data and/or biospecimens will be stored and shared for future use.

POPULATION SAMPLING

If you wish to assemble resources to aid in sampling, such as the USPS Delivery Sequence File, telephone books, or directories of organizations and listservs, please contact our  data librarian  or write to  [email protected] .

• Research Randomizer   A free web-based service that permits instant random sampling and random assignment. It also contains an interactive tutorial perfect for students taking courses in research methods.  
• Practical Tools for Designing and Weighting Survey Samples by Richard Valliant; Jill A. Dever; Frauke Kreuter  Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least three audiences: (1) Students seeking a more in-depth understanding of applied sampling either through a second semester-long course or by way of a supplementary reference; (2) Survey statisticians searching for practical guidance on how to apply concepts learned in theoretical or applied sampling courses; and (3) Social scientists and other survey practitioners who desire insight into the statistical thinking and steps taken to design, select, and weight random survey samples. Several survey data sets are used to illustrate how to design samples, to make estimates from complex surveys for use in optimizing the sample allocation, and to calculate weights. Realistic survey projects are used to demonstrate the challenges and provide a context for the solutions. The book covers several topics that either are not included or are dealt with in a limited way in other texts. These areas include: sample size computations for multistage designs; power calculations related to surveys; mathematical programming for sample allocation in a multi-criteria optimization setting; nuts and bolts of area probability sampling; multiphase designs; quality control of survey operations; and statistical software for survey sampling and estimation. An associated R package, PracTools, contains a number of specialized functions for sample size and other calculations. The data sets used in the book are also available in PracTools, so that the reader may replicate the examples or perform further analyses.  
• Sampling: Design and Analysis by Sharon L. Lohr  Provides a modern introduction to the field of sampling. With a multitude of applications from a variety of disciplines, the book concentrates on the statistical aspects of taking and analyzing a sample. Overall, the book gives guidance on how to tell when a sample is valid or not, and how to design and analyze many different forms of sample surveys.  
• Sampling Techniques by William G. Cochran  Clearly demonstrates a wide range of sampling methods now in use by governments, in business, market and operations research, social science, medicine, public health, agriculture, and accounting. Gives proofs of all the theoretical results used in modern sampling practice. New topics in this edition include the approximate methods developed for the problem of attaching standard errors or confidence limits to nonlinear estimates made from the results of surveys with complex plans.  
• "Understanding the Process of Qualitative Data Collection" in Chapter 13 (pp. 103–1162) of 30 Essential Skills for the Qualitative Researcher by John W. Creswell  Provides practical "how-to" information for beginning researchers in the social, behavioral, and health sciences with many applied examples from research design, qualitative inquiry, and mixed methods.The skills presented in this book are crucial for a new qualitative researcher starting a qualitative project.  
• Survey Methodology by Robert M. Groves; Floyd J. Fowler; Mick P. Couper; James M. Lepkowski; Eleanor Singer; Roger Tourangeau; Floyd J. Fowler  coverage includes sampling frame evaluation, sample design, development of questionnaires, evaluation of questions, alternative modes of data collection, interviewing, nonresponse, post-collection processing of survey data, and practices for maintaining scientific integrity.

The way a qualitative researcher constructs and approaches interview questions should flow from, or align with, the methodological paradigm chosen for the study, whether that paradigm is interpretivist, critical, positivist, or participative in nature (or a combination of these).

Constructing Your Questions

Helpful texts:.

• "Developing Questions" in Chapter 4 (pp. 98–108) of Becoming Qualitative Researchers by Corrine Glesne  Ideal for introducing the novice researcher to the theory and practice of qualitative research, this text opens students to the diverse possibilities within this inquiry approach, while helping them understand how to design and implement specific research methods.  
• "Learning to Interview in the Social Sciences" Qualitative Inquiry, 9(4) 2003, 643–668 by Roulston, K., deMarrais, K., & Lewis, J. B. See especially the section on "Phrasing and Negotiating Questions" on pages 653-655 and common problems with framing questions noted on pages 659 - 660.  
• Qualitative Research Interviewing: Biographic Narrative and Semi-Structured Methods (See sections on “Lightly and Heavily Structured Depth Interviewing: Theory-Questions and Interviewer-Questions” and “Preparing for any Interviewing Sequence") by Tom Wengraf  Unique in its conceptual coherence and the level of practical detail, this book provides a comprehensive resource for those concerned with the practice of semi-structured interviewing, the most commonly used interview approach in social research, and in particular for in-depth, biographic narrative interviewing. It covers the full range of practices from the identification of topics through to strategies for writing up research findings in diverse ways.  
• "Scripting a Qualitative Purpose Statement and Research Questions" in Chapter 12 (pp. 93–102) of 30 Essential Skills for the Qualitative Researcher by John W. Creswell  Provides practical "how-to" information for beginning researchers in the social, behavioral, and health sciences with many applied examples from research design, qualitative inquiry, and mixed methods.The skills presented in this book are crucial for a new qualitative researcher starting a qualitative project.  
• Some Strategies for Developing Interview Guides for Qualitative Interviews by Sociology Department, Harvard University Includes general advice for conducting qualitative interviews, pros and cons of recording and transcription, guidelines for success, and tips for developing and phrasing effective interview questions.  
• Tip Sheet on Question Wording by Harvard University Program on Survey Research

Let Theory Guide You:

The quality of your questions depends on how you situate them within a wider body of knowledge. Consider the following advice:

A good literature review has many obvious virtues. It enables the investigator to define problems and assess data. It provides the concepts on which percepts depend. But the literature review has a special importance for the qualitative researcher. This consists of its ability to sharpen his or her capacity for surprise (Lazarsfeld, 1972b). The investigator who is well versed in the literature now has a set of expectations the data can defy. Counterexpectational data are conspicuous, readable, and highly provocative data. They signal the existence of unfulfilled theoretical assumptions, and these are, as Kuhn (1962) has noted, the very origins of intellectual innovation. A thorough review of the literature is, to this extent, a way to manufacture distance. It is a way to let the data of one's research project take issue with the theory of one's field.

McCracken, G. (1988), The Long Interview, Sage: Newbury Park, CA, p. 31

When drafting your interview questions, remember that everything follows from your central research question. Also, on the way to writing your "operationalized" interview questions, it's  helpful to draft broader, intermediate questions, couched in theory. Nota bene:  While it is important to know the literature well before conducting your interview(s), be careful not to present yourself to your research participant(s) as "the expert," which would be presumptuous and could be intimidating. Rather, the purpose of your knowledge is to make you a better, keener listener.

If you'd like to supplement what you learned about relevant theories through your coursework and literature review, try these sources:

• Annual Reviews   Review articles sum up the latest research in many fields, including social sciences, biomedicine, life sciences, and physical sciences. These are timely collections of critical reviews written by leading scientists.  
• HOLLIS - search for resources on theories in your field   Modify this example search by entering the name of your field in place of "your discipline," then hit search.  
• Oxford Bibliographies   Written and reviewed by academic experts, every article in this database is an authoritative guide to the current scholarship in a variety of fields, containing original commentary and annotations.  
• ProQuest Dissertations & Theses (PQDT)   Indexes dissertations and masters' theses from most North American graduate schools as well as some European universities. Provides full text for most indexed dissertations from 1990-present.  
• Very Short Introductions   Launched by Oxford University Press in 1995, Very Short Introductions offer concise introductions to a diverse range of subjects from Climate to Consciousness, Game Theory to Ancient Warfare, Privacy to Islamic History, Economics to Literary Theory.

CONDUCTING INTERVIEWS

Equipment and software:  .

• Lamont Library  loans microphones and podcast starter kits, which will allow you to capture audio (and you may record with software, such as Garage Band). 
• Cabot Library  loans digital recording devices, as well as USB microphones.

If you prefer to use your own device, you may purchase a small handheld audio recorder, or use your cell phone.

• Audio Capture Basics (PDF)  - Helpful instructions, courtesy of the Lamont Library Multimedia Lab.
• Getting Started with Podcasting/Audio:  Guidelines from Harvard Library's Virtual Media Lab for preparing your interviewee for a web-based recording (e.g., podcast, interview)
• ​ Camtasia Screen Recorder and Video Editor
• Zoom: Video Conferencing, Web Conferencing
• Visit the Multimedia Production Resources guide! Consult it to find and learn how to use audiovisual production tools, including: cameras, microphones, studio spaces, and other equipment at Cabot Science Library and Lamont Library.
• Try the virtual office hours offered by the Lamont Multimedia Lab!

TIPS FOR CONDUCTING INTERVIEWS

Quick handout:  .

• Research Interviewing Tips (Courtesy of Dr. Suzanne Spreadbury)

Remote Interviews:  

• For Online or Distant Interviews, See "Remote Research & Virtual Fieldwork" on this guide .  
• Deborah Lupton's Bibliography: Doing Fieldwork in a Pandemic

Seeking Consent:

Books and articles:  .

• "App-Based Textual Interviews: Interacting With Younger Generations in a Digitalized Social Reallity."International Journal of Social Research Methodology (12 June 2022). Discusses the use of texting platforms as a means to reach young people. Recommends useful question formulations for this medium.  
• "Learning to Interview in the Social Sciences." Qualitative Inquiry, 9(4) 2003, 643–668 by Roulston, K., deMarrais, K., & Lewis, J. B. See especially the section on "Phrasing and Negotiating Questions" on pages 653-655 and common problems with framing questions noted on pages 659-660.  
• "Slowing Down and Digging Deep: Teaching Students to Examine Interview Interaction in Depth." LEARNing Landscapes, Spring 2021 14(1) 153-169 by Herron, Brigette A. and Kathryn Roulston. Suggests analysis of videorecorded interviews as a precursor to formulating one's own questions. Includes helpful types of probes.  
• Using Interviews in a Research Project by Nigel Joseph Mathers; Nicholas J Fox; Amanda Hunn; Trent Focus Group.  A work pack to guide researchers in developing interviews in the healthcare field. Describes interview structures, compares face-to-face and telephone interviews. Outlines the ways in which different types of interview data can be analysed.  
• “Working through Challenges in Doing Interview Research.” International Journal of Qualitative Methods, (December 2011), 348–66 by Roulston, Kathryn.  The article explores (1) how problematic interactions identified in the analysis of focus group data can lead to modifications in research design, (2) an approach to dealing with reported data in representations of findings, and (3) how data analysis can inform question formulation in successive rounds of data generation. Findings from these types of examinations of interview data generation and analysis are valuable for informing both interview practice as well as research design.

Videos:  

The way a qualitative researcher transcribes interviews should flow from, or align with, the methodological paradigm chosen for the study, whether that paradigm is interpretivist, critical, positivist, or participative in nature (or a combination of these).

TRANSCRIPTION

Before embarking on a transcription project, it's worthwhile to invest in the time and effort necessary to capture good audio, which will make the transcription process much easier. If you haven't already done so, check out the  audio capture guidelines from Harvard Library's Virtual Media Lab , or  contact a media staff member  for customized recommendations. First and foremost, be mindful of common pitfalls by watching this short video that identifies  the most common errors to avoid!

SOFTWARE:  

• Adobe Premiere Pro Speech-To-Text  automatically generates transcripts and adds captions to your videos. Harvard affiliates can download Adobe Premiere in the Creative Cloud Suite.  
• GoTranscript  provides cost-effective human-generated transcriptions.  
• pyTranscriber  is an app for generating automatic transcription and/or subtitles for audio and video files. It uses the Google Cloud Speech-to-Text service, has a friendly graphical user interface, and is purported to work nicely with Chinese.   
• Otter  provides a new way to capture, store, search and share voice conversations, lectures, presentations, meetings, and interviews. The startup is based in Silicon Valley with a team of experienced Ph.Ds and engineers from Google, Facebook, Yahoo and Nuance (à la Dragon). Free accounts available. This is the software that  Zoom  uses to generate automated transcripts, so if you have access to a Zoom subscription, you have access to Otter transcriptions with it (applicable in several  languages ). As with any automated approach, be prepared to correct any errors after the fact, by hand.  
• Panopto  is available to Harvard affiliates and generates  ASR (automated speech recognition) captions . You may upload compatible audio files into it. As with any automatically generated transcription, you will need to make manual revisions. ASR captioning is available in several  languages . Panopto maintains robust security practices, including strong authentication measures and end-to-end encryption, ensuring your content remains private and protected.  
• REV.Com  allows you to record and transcribe any calls on the iPhone, both outgoing and incoming. It may be useful for recording phone interviews. Rev lets you choose whether you want an AI- or human-generated transcription, with a fast turnaround. Rev has Service Organization Controls Type II (SOC2) certification (a SOC2 cert looks at and verifies an organization’s processing integrity, privacy practices, and security safeguards).   
• Scribie Audio/Video Transcription  provides automated or manual transcriptions for a small fee. As with any transcription service, some revisions will be necessary after the fact, particularly for its automated transcripts.  
• Sonix  automatically transcribes, translates, and helps to organize audio and video files in over 40 languages. It's fast and affordable, with good accuracy. The free trial includes 30 minutes of free transcription.  
• TranscriptionWing  uses a human touch process to clean up machine-generated transcripts so that the content will far more accurately reflect your audio recording.   
• Whisper is a tool from OpenAI that facilitates transcription of sensitive audiovisual recordings (e.g., of research interviews) on your own device. Installation and use depends on your operating system and which version you install. Important Note: The Whisper API, where audio is sent to OpenAI to be processed by them and then sent back (usually through a programming language like Python) is NOT appropriate for sensitive data. The model should be downloaded with tools such as those described in this FAQ , so that audio is kept to your local machine. For assistance, contact James Capobianco .

EQUIPMENT:  

• Transcription pedals  are in circulation and available to borrow from the Circulation desk at Lamont, or use at Lamont Library's Media Lab on level B. For hand-transcribing your interviews, they work in conjunction with software such as  Express Scribe , which is loaded on Media Lab computers, or you may download for free on your own machine (Mac or PC versions; scroll down the downloads page for the latter). The pedals are plug-and-play USB, allow a wide range of playback speeds, and have 3 programmable buttons, which are typically set to rewind/play/fast-forward. Instructions are included in the bag that covers installation and set-up of the software, and basic use of the pedals.

NEED HELP?  

• Try the virtual office hours offered by the Lamont Multimedia Lab!    
• If you're creating podcasts, login to  Canvas  and check out the  Podcasting/Audio guide . 

Helpful Texts:  

• "Transcription as a Crucial Step of Data Analysis" in Chapter 5 of The SAGE Handbook of Qualitative Data Analysisby Uwe Flick (Editor)  Covers basic terminology for transcription, shares caveats for transcribers, and identifies components of vocal behavior. Provides notation systems for transcription, suggestions for transcribing turn-taking, and discusses new technologies and perspectives. Includes a bibliography for further reading.  
• "Transcribing the Oral Interview: Part Art, Part Science " on p. 10 of the Centre for Community Knowledge (CCK) newsletter: TIMESTAMPby Mishika Chauhan and Saransh Srivastav

QUALITATIVE DATA ANALYSIS

Software  .

• Free download available for Harvard Faculty of Arts and Sciences (FAS) affiliates
• Desktop access at Lamont Library Media Lab, 3rd floor
• Desktop access at Harvard Kennedy School Library (with HKS ID)
• Remote desktop access for Harvard affiliates from  IQSS Computer Labs . Email them at  [email protected] and ask for a new lab account and remote desktop access to NVivo.
• Virtual Desktop Infrastructure (VDI) access available to Harvard T.H. Chan School of Public Health affiliates

CODING AND THEMEING YOUR DATA

Data analysis methods should flow from, or align with, the methodological paradigm chosen for your study, whether that paradigm is interpretivist, critical, positivist, or participative in nature (or a combination of these). Some established methods include Content Analysis, Critical Analysis, Discourse Analysis, Gestalt Analysis, Grounded Theory Analysis, Interpretive Analysis, Narrative Analysis, Normative Analysis, Phenomenological Analysis, Rhetorical Analysis, and Semiotic Analysis, among others. The following resources should help you navigate your methodological options and put into practice methods for coding, themeing, interpreting, and presenting your data.

• Users can browse content by topic, discipline, or format type (reference works, book chapters, definitions, etc.). SRM offers several research tools as well: a methods map, user-created reading lists, a project planner, and advice on choosing statistical tests.  
• Abductive Coding: Theory Building and Qualitative (Re)Analysis by Vila-Henninger, et al.  The authors recommend an abductive approach to guide qualitative researchers who are oriented towards theory-building. They outline a set of tactics for abductive analysis, including the generation of an abductive codebook, abductive data reduction through code equations, and in-depth abductive qualitative analysis.  
• Analyzing and Interpreting Qualitative Research: After the Interview by Charles F. Vanover, Paul A. Mihas, and Johnny Saldana (Editors)   Providing insight into the wide range of approaches available to the qualitative researcher and covering all steps in the research process, the authors utilize a consistent chapter structure that provides novice and seasoned researchers with pragmatic, "how-to" strategies. Each chapter author introduces the method, uses one of their own research projects as a case study of the method described, shows how the specific analytic method can be used in other types of studies, and concludes with three questions/activities to prompt class discussion or personal study.   
• "Analyzing Qualitative Data." Theory Into Practice 39, no. 3 (2000): 146-54 by Margaret D. LeCompte   This article walks readers though rules for unbiased data analysis and provides guidance for getting organized, finding items, creating stable sets of items, creating patterns, assembling structures, and conducting data validity checks.  
• "Coding is Not a Dirty Word" in Chapter 1 (pp. 1–30) of Enhancing Qualitative and Mixed Methods Research with Technology by Shalin Hai-Jew (Editor)   Current discourses in qualitative research, especially those situated in postmodernism, represent coding and the technology that assists with coding as reductive, lacking complexity, and detached from theory. In this chapter, the author presents a counter-narrative to this dominant discourse in qualitative research. The author argues that coding is not necessarily devoid of theory, nor does the use of software for data management and analysis automatically render scholarship theoretically lightweight or barren. A lack of deep analytical insight is a consequence not of software but of epistemology. Using examples informed by interpretive and critical approaches, the author demonstrates how NVivo can provide an effective tool for data management and analysis. The author also highlights ideas for critical and deconstructive approaches in qualitative inquiry while using NVivo. By troubling the positivist discourse of coding, the author seeks to create dialogic spaces that integrate theory with technology-driven data management and analysis, while maintaining the depth and rigor of qualitative research.   
• The Coding Manual for Qualitative Researchers by Johnny Saldana   An in-depth guide to the multiple approaches available for coding qualitative data. Clear, practical and authoritative, the book profiles 32 coding methods that can be applied to a range of research genres from grounded theory to phenomenology to narrative inquiry. For each approach, Saldaña discusses the methods, origins, a description of the method, practical applications, and a clearly illustrated example with analytic follow-up. Essential reading across the social sciences.  
• Flexible Coding of In-depth Interviews: A Twenty-first-century Approach by Nicole M. Deterding and Mary C. Waters The authors suggest steps in data organization and analysis to better utilize qualitative data analysis technologies and support rigorous, transparent, and flexible analysis of in-depth interview data.  
• From the Editors: What Grounded Theory is Not by Roy Suddaby Walks readers through common misconceptions that hinder grounded theory studies, reinforcing the two key concepts of the grounded theory approach: (1) constant comparison of data gathered throughout the data collection process and (2) the determination of which kinds of data to sample in succession based on emergent themes (i.e., "theoretical sampling").  
• “Good enough” methods for life-story analysis, by Wendy Luttrell. In Quinn N. (Ed.), Finding culture in talk (pp. 243–268). Demonstrates for researchers of culture and consciousness who use narrative how to concretely document reflexive processes in terms of where, how and why particular decisions are made at particular stages of the research process.   
• The Ethnographic Interview by James P. Spradley  “Spradley wrote this book for the professional and student who have never done ethnographic fieldwork (p. 231) and for the professional ethnographer who is interested in adapting the author’s procedures (p. iv) ... Steps 6 and 8 explain lucidly how to construct a domain and a taxonomic analysis” (excerpted from book review by James D. Sexton, 1980). See also:  Presentation slides on coding and themeing your data, derived from Saldana, Spradley, and LeCompte Click to request access.  
• Qualitative Data Analysis by Matthew B. Miles; A. Michael Huberman   A practical sourcebook for researchers who make use of qualitative data, presenting the current state of the craft in the design, testing, and use of qualitative analysis methods. Strong emphasis is placed on data displays matrices and networks that go beyond ordinary narrative text. Each method of data display and analysis is described and illustrated.  
• "A Survey of Qualitative Data Analytic Methods" in Chapter 4 (pp. 89–138) of Fundamentals of Qualitative Research by Johnny Saldana   Provides an in-depth introduction to coding as a heuristic, particularly focusing on process coding, in vivo coding, descriptive coding, values coding, dramaturgical coding, and versus coding. Includes advice on writing analytic memos, developing categories, and themeing data.   
• "Thematic Networks: An Analytic Tool for Qualitative Research." Qualitative Research : QR, 1(3), 385–405 by Jennifer Attride-Stirling Details a technique for conducting thematic analysis of qualitative material, presenting a step-by-step guide of the analytic process, with the aid of an empirical example. The analytic method presented employs established, well-known techniques; the article proposes that thematic analyses can be usefully aided by and presented as thematic networks.  
• Using Thematic Analysis in Psychology by Virginia Braun and Victoria Clark Walks readers through the process of reflexive thematic analysis, step by step. The method may be adapted in fields outside of psychology as relevant. Pair this with One Size Fits All? What Counts as Quality Practice in Reflexive Thematic Analysis? by Virginia Braun and Victoria Clark

TESTING OR GENERATING THEORIES

The quality of your data analysis depends on how you situate what you learn within a wider body of knowledge. Consider the following advice:

Once you have coalesced around a theory, realize that a theory should  reveal  rather than  color  your discoveries. Allow your data to guide you to what's most suitable. Grounded theory  researchers may develop their own theory where current theories fail to provide insight.  This guide on Theoretical Models  from Alfaisal University Library provides a helpful overview on using theory.

MANAGING & FINDING INTERVIEW DATA

Managing your elicited interview data, general guidance:  .

• Research Data Management @ Harvard A reference guide with information and resources to help you manage your research data. See also: Harvard Research Data Security Policy , on the Harvard University Research Data Management website.  
• Data Management For Researchers: Organize, Maintain and Share Your Data for Research Success by Kristin Briney. A comprehensive guide for scientific researchers providing everything they need to know about data management and how to organize, document, use and reuse their data.  
• Open Science Framework (OSF) An open-source project management tool that makes it easy to collaborate within and beyond Harvard throughout a project's lifecycle. With OSF you can manage, store, and share documents, datasets, and other information with your research team. You can also publish your work to share it with a wider audience. Although data can be stored privately, because this platform is hosted on the Internet and designed with open access in mind, it is not a good choice for highly sensitive data.  
• Free cloud storage solutions for Harvard affiliates to consider include:  Google Drive ,  DropBox , or  OneDrive ( up to DSL3 )  

Data Confidentiality and Secure Handling:  

• Data Security Levels at Harvard - Research Data Examples This resource provided by Harvard Data Security helps you determine what level of access is appropriate for your data. Determine whether it should be made available for public use, limited to the Harvard community, or be protected as either "confidential and sensitive," "high risk," or "extremely sensitive." See also:  Harvard Data Classification Table  
• Harvard's Best Practices for Protecting Privacy and  Harvard Information Security Collaboration Tools Matrix Follow the nuts-and-bolts advice for privacy best practices at Harvard. The latter resource reveals the level of security that can be relied upon for a large number of technological tools and platforms used at Harvard to conduct business, such as email, Slack, Accellion Kiteworks, OneDrive/SharePoint, etc.  
• “Protecting Participant Privacy While Maintaining Content and Context: Challenges in Qualitative Data De‐identification and Sharing.” Proceedings of the ASIST Annual Meeting 57 (1) (2020): e415-420 by Myers, Long, and Polasek Presents an informed and tested protocol, based on the De-Identification guidelines published by the Qualitative Data Repository (QDR) at Syracuse University. Qualitative researchers may consult it to guide their data de-identification efforts.  
• QDS Qualitative Data Sharing Toolkit The Qualitative Data Sharing (QDS) project and its toolkit was funded by the NIH National Human Genome Research Institute (R01HG009351). It provides tools and resources to help researchers, especially those in the health sciences, share qualitative research data while protecting privacy and confidentiality. It offers guidance on preparing data for sharing through de-identification and access control. These health sciences research datasets in ICPSR's Qualitative Data Sharing (QDS) Project Series were de-identified using the QuaDS Software and the project’s QDS guidelines.  
• Table of De-Identification Techniques  
• Generative AI Harvard-affiliated researchers should not enter data classified as confidential ( Level 2 and above ), including non-public research data, into publicly-available generative AI tools, in accordance with the University’s Information Security Policy. Information shared with generative AI tools using default settings is not private and could expose proprietary or sensitive information to unauthorized parties.  
• Harvard Information Security Quick Reference Guide Storage guidelines, based on the data's security classification level (according to its IRB classification) is displayed on page 2, under "handling."  
• Email Encryption Harvard Microsoft 365 users can now send encrypted messages and files directly from the Outlook web or desktop apps. Encrypting an email adds an extra layer of security to the message and its attachments (up to 150MB), and means only the intended recipient (and their inbox delegates with full access) can view it. Message encryption in Outlook is approved for sending high risk ( level 4 ) data and below.  

Sharing Qualitative Data:  

• Repositories for Qualitative Data If you have cleared this intention with your IRB, secured consent from participants, and properly de-identified your data, consider sharing your interviews in one of the data repositories included in the link above. Depending on the nature of your research and the level of risk it may present to participants, sharing your interview data may not be appropriate. If there is any chance that sharing such data will be desirable, you will be much better off if you build this expectation into your plans from the beginning.  
• Guide for Sharing Qualitative Data at ICPSR The Inter-university Consortium for Political and Social Research (ICPSR) has created this resource for investigators planning to share qualitative data at ICPSR. This guide provides an overview of elements and considerations for archiving qualitative data, identifies steps for investigators to follow during the research life cycle to ensure that others can share and reuse qualitative data, and provides information about exemplars of qualitative data  

International Projects:

• Research Compliance Program for FAS/SEAS at Harvard The Faculty of Arts and Sciences (FAS), including the School of Engineering and Applied Sciences (SEAS), and the Office of the Vice Provost for Research (OVPR) have established a shared Research Compliance Program (RCP). An area of common concern for interview studies is international projects and collaboration . RCP is a resource to provide guidance on which international activities may be impacted by US sanctions on countries, individuals, or entities and whether licenses or other disclosure are required to ship or otherwise share items, technology, or data with foreign collaborators.

Finding Extant Interview Data

Finding journalistic interviews:  .

• Academic Search Premier This all-purpose database is great for finding articles from magazines and newspapers. In the Advanced Search, it allows you to specify "Document Type":  Interview.  
• Guide to Newspapers and Newspaper Indexes Use this guide created to Harvard Librarians to identify newspapers collections you'd like to search. To locate interviews, try adding the term  "interview"  to your search, or explore a database's search interface for options to  limit your search to interviews.  Nexis Uni  and  Factiva  are the two main databases for current news.   
• Listen Notes Search for podcast episodes at this podcast aggregator, and look for podcasts that include interviews. Make sure to vet the podcaster for accuracy and quality! (Listen Notes does not do much vetting.)  
• NPR  and  ProPublica  are two sites that offer high-quality long-form reporting, including journalistic interviews, for free.

Finding Oral History and Social Research Interviews:  

• To find oral histories, see the Oral History   page of this guide for helpful resources on Oral History interviewing.  
• Repositories for Qualitative Data It has not been a customary practice among qualitative researchers in the social sciences to share raw interview data, but some have made this data available in repositories, such as the ones listed on the page linked above. You may find published data from structured interview surveys (e.g., questionnaire-based computer-assisted telephone interview data), as well as some semi-structured and unstructured interviews.  
• If you are merely interested in studies interpreting data collected using interviews, rather than finding raw interview data, try databases like  PsycInfo ,  Sociological Abstracts , or  Anthropology Plus , among others. 

Finding Interviews in Archival Collections at Harvard Library:

In addition to the databases and search strategies mentioned under the  "Finding Oral History and Social Research Interviews" category above,  you may search for interviews and oral histories (whether in textual or audiovisual formats) held in archival collections at Harvard Library.

• HOLLIS searches all documented collections at Harvard, whereas HOLLIS for Archival Discovery searches only those with finding aids. Although HOLLIS for Archival Discovery covers less material, you may find it easier to parse your search results, especially when you wish to view results at the item level (within collections). Try these approaches:

Search in  HOLLIS :  

• To retrieve items available online, do an Advanced Search for  interview* OR "oral histor*" (in Subject), with Resource Type "Archives/Manuscripts," then refine your search by selecting "Online" under "Show Only" on the right of your initial result list.  Revise the search above by adding your topic in the Keywords or Subject field (for example:  African Americans ) and resubmitting the search.  
•  To enlarge your results set, you may also leave out the "Online" refinement; if you'd like to limit your search to a specific repository, try the technique of searching for  Code: Library + Collection on the "Advanced Search" page .   

Search in  HOLLIS for Archival Discovery :  

• To retrieve items available online, search for   interview* OR "oral histor*" limited to digital materials . Revise the search above by adding your topic (for example:  artist* ) in the second search box (if you don't see the box, click +).  
• To preview results by collection, search for  interview* OR "oral histor*" limited to collections . Revise the search above by adding your topic (for example:  artist* ) in the second search box (if you don't see the box, click +). Although this method does not allow you to isolate digitized content, you may find the refinement options on the right side of the screen (refine by repository, subject or names) helpful.  Once your select a given collection, you may search within it  (e.g., for your topic or the term interview).

UX & MARKET RESEARCH INTERVIEWS

Ux at harvard library  .

• User Experience and Market Research interviews can inform the design of tangible products and services through responsive, outcome-driven insights. The  User Research Center  at Harvard Library specializes in this kind of user-centered design, digital accessibility, and testing. They also offer guidance and  resources  to members of the Harvard Community who are interested in learning more about UX methods. Contact [email protected] or consult the URC website for more information.

Websites  

• User Interviews: The Beginner’s Guide (Chris Mears)  
• Interviewing Users (Jakob Nielsen)

Books  

• Interviewing Users: How to Uncover Compelling Insights by Steve Portigal; Grant McCracken (Foreword by)  Interviewing is a foundational user research tool that people assume they already possess. Everyone can ask questions, right? Unfortunately, that's not the case. Interviewing Users provides invaluable interviewing techniques and tools that enable you to conduct informative interviews with anyone. You'll move from simply gathering data to uncovering powerful insights about people.  
• Rapid Contextual Design by Jessamyn Wendell; Karen Holtzblatt; Shelley Wood  This handbook introduces Rapid CD, a fast-paced, adaptive form of Contextual Design. Rapid CD is a hands-on guide for anyone who needs practical guidance on how to use the Contextual Design process and adapt it to tactical projects with tight timelines and resources. Rapid Contextual Design provides detailed suggestions on structuring the project and customer interviews, conducting interviews, and running interpretation sessions. The handbook walks you step-by-step through organizing the data so you can see your key issues, along with visioning new solutions, storyboarding to work out the details, and paper prototype interviewing to iterate the design all with as little as a two-person team with only a few weeks to spare *Includes real project examples with actual customer data that illustrate how a CD project actually works.

Videos  

Instructional Presentations on Interview Skills  

• Interview/Oral History Research for RSRA 298B: Master's Thesis Reading and Research (Spring 2023) Slideshow covers: Why Interviews?, Getting Context, Engaging Participants, Conducting the Interview, The Interview Guide, Note Taking, Transcription, File management, and Data Analysis.  
• Interview Skills From an online class on February 13, 2023:  Get set up for interview research. You will leave prepared to choose among the three types of interviewing methods, equipped to develop an interview schedule, aware of data management options and their ethical implications, and knowledgeable of technologies you can use to record and transcribe your interviews. This workshop complements Intro to NVivo, a qualitative data analysis tool useful for coding interview data.

NIH Data Management & Sharing Policy (DMSP) This policy, effective January 25, 2023, applies to all research, funded or conducted in whole or in part by NIH, that results in the generation of  scientific data , including NIH-funded qualitative research. Click here to see some examples of how the DMSP policy has been applied in qualitative research studies featured in the 2021 Qualitative Data Management Plan (DMP) Competition . As a resource for the community, NIH has developed a resource for developing informed consent language in research studies where data and/or biospecimens will be stored and shared for future use. It is important to note that the DMS Policy does NOT require that informed consent obtained from research participants must allow for broad sharing and the future use of data (either with or without identifiable private information). See the FAQ for more information.

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Except where otherwise noted, this work is subject to a Creative Commons Attribution 4.0 International License , which allows anyone to share and adapt our material as long as proper attribution is given. For details and exceptions, see the Harvard Library Copyright Policy ©2021 Presidents and Fellows of Harvard College.

• Research Methods
• Post last modified: 26 August 2021
• Reading time: 36 mins read
• Post category: Research Methodology

4 Research Methods

4 Major Research Methods are:

Observations

Schedule and questionnaire, case study method.

Table of Content

• 1.1.1 Types of Interview
• 1.1.2 Features of Interviews
• 1.1.3 Essentials for an Effective Interview
• 1.1.4 Advantages of Interviews
• 1.1.5 Disadvantages of Interviews
• 1.1.6 Interview Process
• 1.1.7 Problems Faced in an Interview
• 1.2.1 Characteristics of Observation Method
• 1.2.2 Types of Observation
• 1.2.3 Prerequisites of Observation
• 1.2.4 Advantages of observations
• 1.2.5 Disadvantages of observations
• 1.2.6 Use of observation in business research
• 1.3.1 Importance of questionnaires
• 1.3.2 Types of Questionnaire
• 1.3.3 Advantages of Questionnaires
• 1.3.4 Disadvantages of Questionnaires
• 1.3.5 Preparation of an Effective Questionnaire
• 1.3.6 Difference between schedule and questionnaire
• 1.4.1 Assumptions of case study method
• 1.4.2 Advantages of Case Study Method
• 1.4.3 Disadvantages of Case Study Method
• 1.4.4 Case study as a method of business research

Interviewing is a very effective method of data collection. It is a systematic and objective conversation between an investigator and respondent for collecting relevant data for a specific research study. Along with conversation, learning about the gestures, facial expressions and environmental conditions of a respondent are also very important.

Generally, interview collects a wide range of data from factual demographic data to highly personal and intimate information relating to a person’s opinions, attitudes, values and beliefs, past experience and future intentions.

The interview method is very important in the collection of data from the respondent who is less educated or illiterate. Personal interview is more feasible when the area covered for survey is compact. Probing is a very important part of an interview.

Types of Interview

The following are the various types of interviews:

Structured or directive interview

In this type of interview, the investigator goes to the respondent with a detailed schedule. Some questions in same sequence are asked from all respondents.

Unstructured or non-directive interview

In this type of interview, the respondent is encouraged to give his honest opinion on a given topic without or with minimum help from others.

Focused interview

This is a semi-structured interview where the respondent shares the effect of the experience to the given conditions with the researcher or investigator. It is conducted with those respondents only who have prior experience of conditions given by the investigator.

Analysis of the attitude, emotional feelings for the situations under study is main purpose behind conducting these interviews. A set of fix questions may not be required in this interview but a relevant topic is required which is known to the respondent.

Clinical interview

While a focussed interview is concerned with effects of specific experience, clinical interviews are concerned with broad underlying feelings or motivations or the course of the individual’s life experiences with reference to the research study. It encourages the interviewee to share his experience freely.

Depth interview

To analyse or study the respondent’s emotions, opinions, etc., depth interviews are conducted. This kind of interview aims to collect intensive data about individuals, especially their opinions.

It is a lengthy process to get unbiased data from the respondent. Interviewers should avoid advising or showing this agreement. Instead, the investigator has to motivate the respondent to answer the questions.

Features of Interviews

The following are some of the features of interviews

• The interviewer and the respondent are the participants in any interview. They both are unknown to each other and so it is important for an interviewer to introduce himself first to the respondent.
• An interview has a beginning and a termination point in the relationship between the participants.
• Interview is not a mere casual conversational exchange. It has a specific purpose of collecting data which is relevant to the study.
• Interview is a mode of obtaining a verbal response to questions to put verbally. It is not always face to face.
• Success of interview depends on the interviewer and respondent and how they perceive each other.
• It is not a standardized process.

Essentials for an Effective Interview

The following are the requirements for a successful interview:

• Data availability : The respondent should have complete knowledge of the information required for specific study.
• Role perception : The interviewer and the respondent should be aware of their roles in the interview process. The respondent should be clear about the topic or questions which have to be answered by him. Similarly, it is the responsibility of the interviewer to make the respondent comfortable by introducing himself first. The investigator should not affect the interview situation through subjective attitude and argumentation.
• Respondent’s motivation : The respondent can hesitate to answer the questions. In this case, the approach and skills of the interviewer are very important as he has to motivate the respondent to answer or express himself.

Advantages of Interviews

The following are the advantages of the interview method:

• In-depth and detailed information is collected.
• The interviewer tries to improve the responses and quality of data received.
• He can control the conditions in favour of the research study.
• Interviews help in gathering supplementary information which can be helpful to the study.
• Interviews use special scoring devices, visuals and materials to improve the quality of data or information collected.
• Interviews use observation and probing by the interviewer to see the accuracy and dependability of given data by the respondent.
• Interviews are flexible in nature.

Disadvantages of Interviews

The following are the disadvantages of interviews:

• Interviews consume more time and cost.
• The respondent’s responses can be affected by the way the interviewer asks the questions.
• The respondent may refuse to answer some personal questions which are relevant to the study.
• Recording and coding of data during the interview process may sometimes be difficult for the interviewer.
• The interviewer may not have good communication or interactive skills.

Interview Process

The following are the stages in an interview process:

Preparation

The interviewer needs to make certain preparations to make an interview successful. The interviewer should keep all the copies of the schedule or guide ready. They need to prepare the lists of respondents with their addresses, contact number and meeting time.

They should prepare themselves with all the approaches and skills required to conduct an interview. They should prepare themselves to face all adverse situations during the interview. If the interviewer is not doing such planning, they can fail to collect the right information from respondent.

Introduction

The interviewer is not known to the respondent. Therefore, the interviewer must introduce himself first to every respondent. In the introduction, the interviewer should tell about himself, his organization details and the purpose of his visit.

If the interviewer knows someone who the respondent is familiar with, then he can use that person’s reference to make the respondent more comfortable. The following are some steps which help in motivating the respondent:

• The interviewer should introduce himself with a smiling face and always greet the respondent.
• He should identify and call the respondent by name.
• He must describe how the respondent is selected.
• He should explain the purpose and usefulness of the study.
• He should focus on the value of the respondent’s cooperation.

Developing report

It is important for an interviewer to develop a rapport with the respondent before starting the interview. By doing this, a cordial relationship is established between them. It helps the interviewer understand the inherent nature of the respondent which helps in building a rapport and the discussion can be started with some general topic or with the help of a person who is commonly known to both of them.

Carrying the interview forward

After establishing a rapport, the skills of the interviewer are required to carry the interview forward. The following are some guidelines that should be followed:

• Start the interview in an informal and natural manner.
• Ask all the questions in the same sequence as in the schedule.
• Do not take an answer for granted. It is not necessary that an interviewee will know all answers or will give all answers. The interviewer has to create interest for answering questions.
• The objective of the question should be known to the interviewer to ensure that the correct information is collected for research study.
• Explain the question if it has not been understood properly by the respondent.
• Listen to the respondent carefully with patience.
• Never argue with the respondent.
• Show your concern and interest in the information given by the respondent.
• Do not express your own opinion for answers of any question in the schedule.
• Continue to motivate the respondent.
• If the respondent is unable to frame the right answer, the interviewer should help him by providing alternate questions.
• Ensure that the conversation does not go off track.
• If the respondent is unable to answer a particular question due to some reasons, drop the question at that moment. This question can be asked indirectly later on.

Recording the interview

Responses should be recorded in the same sequence as they are given by the respondent. The response should be recorded at the same time as it is generated. It may be very difficult to remember all the responses later for recording them.

Recording can be done in writing but there may be some problems if the writing skills of an interviewer are not good. Hence, the use of electronic devices like tape recorders can help in this purpose. The interviewer should also record all his probes and other comments on the schedule, but they should be in brackets to ensure that they are set off from response.

Closing the interview

After the interview is over, the interviewer must thank the respondent for his cooperation. He must collect all the papers before leaving the respondent. If the respondent wants to know the result of the survey, the interviewer must ensure that the results are mailed to him when they are ready.

At the end, the interviewer must edit the schedule to check that all the questions have been asked and recorded. Also, abbreviations in recording should be replaced by full words.

Problems Faced in an Interview

The following are some of the main problems faced in an interview:

Inadequate response

Kahn and Cannel laid down five principal symptoms of inadequate response. They are given as follows:

• Partial response in which the respondent gives a relevant but incomplete answer.
• Non-response in which the respondent remains silent or refuses to answer the questions.
• Irrelevant response in which the respondent’s answer is not relevant to the question asked.
• Inaccurate response in which the reply is biased.
• Verbalized response problem which arises because of the respondent’s failure to understand the question.

Interviewer’s biasness, refusal, incapability to understand questions

An interviewer can affect the performance of an interview with his own responses and suggestions. Such biasing factors can never be overcome fully, but their effect can be reduced by training and development techniques.

Non response

Some respondents out of the total respondents fail to respond to the schedule. The reasons for this non response can be non availability, refusal, incapability to understand questions, etc.

Non availability

Some respondents are not available at their places at the time of call. This could be because of odd timings or working hours.

Some respondents refuse to answer the questions. There can be many reasons for this, such as language, odd hours, sickness, no interest in such studies, etc.

Inaccessibility

Some respondents can be inaccessible because of various reasons such as migration, touring job, etc.

Observation can be defined as viewing or seeing. Observation means specific viewing with the purpose of gathering the data for a specific research study. Observation is a classical method of scientific study. It is very important in any research study as it is an effective method for data collection.

Characteristics of Observation Method

The following are the characteristics of the observation method of data collection:

• Physical and mental activity : Eyes observe so many things in our surroundings but our focus or attention is only on data which is relevant to research study.
• Observation is selective : It is very difficult for a researcher to observe everything in his surroundings. He only observes the data which is purposive for his research study and meets with the scope of his study. The researcher ignores all the data which is not relevant to the study.
• Observation is purposive and not casual : Observation is purposive as it is relevant to a particular study. The purpose of observation is to collect data for the research study. It focusses on human behaviour which occurs in a social phenomenon. It analyses the relationship of different variables in a specific context.
• Accuracy and standardization : Observation of pertinent data should be accurate and standardized for its applications.

Types of Observation

Different concepts define the classification of observations.

With respect to an investigator’s role, observation may be:

Participant observation

Non-participant observation

With respect to the method of observation, it can be classified into the following:

Direct observation

Indirect observation

With reference to the control on the system to be observed, observation can be classified into the following:

Controlled observation

Uncontrolled observation

In participant type of observation, the observer is an active participant of the group or process. He participates as well as observes as a part of a phenomenon;

For example, to study the behaviour of management students towards studying and understanding marketing management, the observer or researcher has to participate in the discussion with students without telling them about the observation or purpose. When respondents are unaware of observations, then only their natural interest can be studied.

In non-participant observation, the observer does not participate in the group process. He acknowledges the behaviour of the group without telling the respondents. It requires a lot of skills to record observations in an unnoticeable manner.

In direct observation, the observer and researcher personally observe all the happenings of a process or an event when the event is happening. In this method, the observer records all the relevant aspects of an event which are necessary for study.

He is free to change the locations and focus of the observation. One major limitation of the method is that the observer may not be able to cover all relevant events when they are happening.

Physical presence of an observer is not required and recording is done with the help of mechanical, photographic or electronic devices;

For example, close circuit TV (CCTV) cameras are used in many showrooms to observe the behaviour of customers. It provides a permanent record for an analysis of different aspects of the event.

All observations are done under pre-specified conditions over extrinsic and intrinsic variables by adopting experimental design and systematically recording observations. Controlled observations are carried out either in the laboratory or the field.

There is no control over extrinsic and intrinsic variables. It is mainly used for descriptive research. Participant observation is a typical uncontrolled one.

Prerequisites of Observation

The following are the prerequisites of observation:

• The conditions of observation must provide accurate results. An observer should be in a position to observe the object clearly.
• The right number of respondents should be selected as the sample size for the observation to produce the desired results.
• Accurate and complete recording of an event.
• If it is possible, two separate observers and sets of instruments can be used in all or some observations. Then the result can be compared to measure accuracy and completeness.

Advantages of observations

The following are the advantages of observations:

• It ensures the study of behaviour in accordance with the occurrence of events. The observer does not ask anything from the representatives, he just watches the doing and saying of the sample.
• The data collected by observation defines the observed phenomenon as they occur in their natural settings.
• When an object is not able to define the meaning of its behaviour, observation is best method for analysis; for example, animals, birds and children.
• Observation covers the entire happenings of an event.
• Observation is less biased as compared to questioning.
• It is easier to conduct disguised observation studies as opposed to disguised questioning.
• The use of mechanical devices can generate accurate results.

Disadvantages of observations

The following are the limitations of observation:

• Past studies and events are of no use to observation. For these events and study, one has to go through narrations, people and documents.
• It is difficult to understand attitudes with the help of observation.
• Observations cannot be performed by the choice of the observer. He has to wait for an event to occur.
• It is difficult to predict when and where the event will occur. Thus, it may not be possible for an observer to reach in every event.
• Observation requires more time and money.

Use of observation in business research

Observation is very useful in the following business research purposes:

• Buying behaviour of customer, lifestyles, customs, interpersonal relations, group dynamics, leadership styles, managerial style and actions.
• Physical characteristics of inanimate things like houses, factories, stores, etc.
• Movements in a production plant.
• Flow of traffic, crowd and parking on road.

Primary data can be collected with the help of emails and surveys. The respondents receive the questionnaires from the researcher and are asked to fill them completely and return them to the researcher. It can be performed only when the respondents are educated.

The mail questionnaire should be simple and easy to understand so that the respondents can answer all questions easily. In mail questionnaires, all the answers have to be given and recorded by the respondents and not by the researcher or investigator, as in the case of the personal interview method. There is no face-to-face interaction between the investigator and respondent and so the respondent is free to give answers of his own choice.

Importance of questionnaires

A questionnaire is a very effective method as well as research tool in any research study. It ensures the collection of a diversified and wide range of scientific data to complete the research objectives. The questionnaire provides all the inputs in the form of relevant data to all statistical methods used in a research study.

Types of Questionnaire

The following are the various categories of questionnaires:

• Structured or standard questionnaire Structured or standard questionnaires contain predefined questions in order to collect the required data for research study. These questions are the same for all the respondents. Questions are in the same language and in the same order for all the respondents.
• Unstructured questionnaire In unstructured questionnaires, the respondent has the freedom

Process of Data Collection

The researcher prepares the mailing list by collecting the addresses of all the respondents with the help of primary and secondary sources of data. A covering letter must accompany every questionnaire, indicating the purpose and importance of the research and importance of cooperation of the respondent for the success of the research study.

Advantages of Questionnaires

The following are the advantages of questionnaires:

• Wide reach and extensive coverage
• Easy to contact the person who is busy
• Respondent’s convenience in completion of questionnaire
• More impersonal, provides more anonymity
• No interviewer’s biasness

Disadvantages of Questionnaires

The following are the disadvantages of questionnaires:

• Low response by respondent
• Low scope in many societies where literary level is low
• More time requirement

Preparation of an Effective Questionnaire

While preparing a questionnaire, the researcher must focus on some key parameters to prepare it. These key parameters are as follows:

• Proper use of open and close probe
• Proper sequence of questions
• Use of simple language
• Asking no personal question in which the respondent is hesitating to answer
• Should not be time consuming
• Use of control questions indicating reliability of the respondent

Collecting Data through Schedule

This method is very similar to the collection of data through questionnaires. The only difference is that in schedule, enumerators are appointed. These enumerators go to the respondents, ask the stated questions in the same sequence as the schedule and record the reply of respondents.

Schedules may be given to the respondents and the enumerators should help them solve the problems faced while answering the question in the given schedule. Thus, enumerator selection is very important in data collection through schedules.

Difference between schedule and questionnaire

Both questionnaire and schedule are popular methods of data collection. The following are the main differences between questionnaire and schedule:

• A questionnaire is generally sent to the respondents through mail, but in case of schedule, it is sent through enumerators.
• Questionnaires are relatively cheaper mediums of data collection as compared to schedules. In the case of questionnaires, the cost is incurred in preparing it and mailing it to respondent, while in schedule, more money is required for hiring enumerators, training them and incurring their field expenses.
• The response rate in questionnaires is low as many people return it without filling. On the other hand, the response rate in schedules is high because they are filled by enumerators.
• In collecting data through questionnaires, the identity of the respondent may not be known, but this is not the case when it comes to schedules.
• Data collection through questionnaires requires a lot of time, which is comparatively very less in case of schedules.
• Generally, there is no personal contact in case of questionnaires, but in schedules, personal contact is always there.
• The literacy level of the respondent is very important while filling questionnaires, but in schedules, the literacy level of the respondent is not a major concern as the responses have to be recorded by enumerators.
• Wider distribution of questionnaires is possible but this is difficult with schedules.
• There is less accuracy and completeness of responses in questionnaires as compared to schedules.
• The success of questionnaires depends on the quality of questions but success of a schedule depends on the enumerators.
• The physical appearance of questionnaire matters a lot, which is less important in case of schedules.
• Observation method cannot be used along with questionnaires but it can be used along with schedule.

We explore and analyse the life of a social chapter or entity, whether it be a family, a person, an institution or a community, with the help of a case study. The purpose of case study method is to identify the factors and reasons that account for particular behaviour patterns of a sample chapter and its association with other social or environmental factors.

Generally social researchers use case study method to understand the complex social phenomenon and to identify the factors related to this phenomenon.

Case study provides the clues and ideas to a researcher for further research study. By adopting case study method, a researcher gets to know about happenings in the past, which could be related to the research studies and analyse the problem with better perspectives.

Assumptions of case study method

The assumptions made in a case study method are as follows:

• Case study depends on the imagination of the investigator who is analysing the case study. The investigator makes up his procedure as he goes along.
• History related to the case is complete and as coherent as it could be.
• It is advisable to supplement the case data by observational, statistical and historical data, since these provide standards for assessing the reliability and consistency of the case material.
• Efforts should be made to ascertain the reliability of life history data by examining the internal consistency of the material.
• A judicious combination of techniques of data collection is a prerequisite for securing data that is culturally meaningful and scientifically significant.

Advantages of Case Study Method

Key advantages of the case study method are as follows:

• Provides the basis for understanding complex social phenomenon and all related factors affecting the social phenomenon.
• Provides clues and ideas for exploratory research. When the researcher is not able to get a fair idea about the research, past happenings mentioned in a case study help the researcher get clues and ideas.
• Case study helps in generating objectives for exploratory research.
• It suggests the new courses of inquiry.
• Case study helps in formulating research hypothesis.

Disadvantages of Case Study Method

Some important disadvantages of case study method are as follows:

• Reliability : Data collected through case study may not be reliable or it can be difficult to verify the reliability of data in the current scenario.
• Adequacy : Data collected through case studies may not be adequate for research work as data is not pertinent to the research conditions.
• Representative : Data presented by case studies represents the happenings with unknown circumstances to a researcher. Hence, it cannot be the true representation of events to a researcher.

Case study as a method of business research

A detailed case study helps the researcher identify the reasons behind business related problems. As it can be possible that that particular incident has happened in past, so the current issues can be sorted out, by referring to the same case.

In depth analysis of selected cases is of particular value to business research when a complex set of variables may be at work in generating observed results and intensive study is needed to unravel the complexities.

The exploratory investigator should have an active curiosity and willingness to deviate from the initial plan, when the finding suggests a new course of enquiry, which might prove more productive. With the help of case study method, the risk can be minimized in any decision-making process.

Business Ethics

( Click on Topic to Read )

• What is Ethics?
• What is Business Ethics?
• Values, Norms, Beliefs and Standards in Business Ethics
• Indian Ethos in Management
• Ethical Issues in Marketing
• Ethical Issues in HRM
• Ethical Issues in IT
• Ethical Issues in Production and Operations Management
• Ethical Issues in Finance and Accounting
• What is Corporate Governance?
• What is Ownership Concentration?
• What is Ownership Composition?
• Types of Companies in India
• Internal Corporate Governance
• External Corporate Governance
• Corporate Governance in India
• What is Enterprise Risk Management (ERM)?
• What is Assessment of Risk?
• What is Risk Register?
• Risk Management Committee

Corporate social responsibility (CSR)

• Theories of CSR
• Arguments Against CSR
• Business Case for CSR
• Importance of CSR in India
• Drivers of Corporate Social Responsibility
• Developing a CSR Strategy
• Implement CSR Commitments
• CSR Marketplace
• CSR at Workplace
• Environmental CSR
• CSR with Communities and in Supply Chain
• Community Interventions
• CSR Monitoring
• CSR Reporting
• Voluntary Codes in CSR
• What is Corporate Ethics?

Lean Six Sigma

• What is Six Sigma?
• What is Lean Six Sigma?
• Value and Waste in Lean Six Sigma
• Six Sigma Team
• MAIC Six Sigma
• Six Sigma in Supply Chains
• What is Binomial, Poisson, Normal Distribution?
• What is Sigma Level?
• What is DMAIC in Six Sigma?
• What is DMADV in Six Sigma?
• Six Sigma Project Charter
• Project Decomposition in Six Sigma
• Critical to Quality (CTQ) Six Sigma
• Process Mapping Six Sigma
• Flowchart and SIPOC
• Gage Repeatability and Reproducibility
• Statistical Diagram
• Lean Techniques for Optimisation Flow
• Failure Modes and Effects Analysis (FMEA)
• What is Process Audits?
• Six Sigma Implementation at Ford
• IBM Uses Six Sigma to Drive Behaviour Change
• Research Methodology
• What is Research?

What is Hypothesis?

• Sampling Method
• Data Collection in Research

Methods of Collecting Data

• Application of Business Research
• Levels of Measurement
• What is Sampling?

Hypothesis Testing

Research report.

• What is Management?
• Planning in Management
• Decision Making in Management
• What is Controlling?
• What is Coordination?
• What is Staffing?
• Organization Structure
• What is Departmentation?
• Span of Control
• What is Authority?
• Centralization vs Decentralization
• Organizing in Management
• Schools of Management Thought
• Classical Management Approach
• Is Management an Art or Science?
• Who is a Manager?

Operations Research

• What is Operations Research?
• Operation Research Models
• Linear Programming
• Linear Programming Graphic Solution
• Linear Programming Simplex Method
• Linear Programming Artificial Variable Technique
• Duality in Linear Programming
• Transportation Problem Initial Basic Feasible Solution
• Transportation Problem Finding Optimal Solution
• Project Network Analysis with Critical Path Method
• Project Network Analysis Methods
• Project Evaluation and Review Technique (PERT)
• Simulation in Operation Research
• Replacement Models in Operation Research

Operation Management

• What is Strategy?
• What is Operations Strategy?
• Operations Competitive Dimensions
• Operations Strategy Formulation Process
• What is Strategic Fit?
• Strategic Design Process
• Focused Operations Strategy
• Corporate Level Strategy
• Expansion Strategies
• Stability Strategies
• Retrenchment Strategies
• Competitive Advantage
• Strategic Choice and Strategic Alternatives
• What is Production Process?
• What is Process Technology?
• What is Process Improvement?
• Strategic Capacity Management
• Production and Logistics Strategy
• Taxonomy of Supply Chain Strategies
• Factors Considered in Supply Chain Planning
• Operational and Strategic Issues in Global Logistics
• Logistics Outsourcing Strategy
• What is Supply Chain Mapping?
• Supply Chain Process Restructuring
• Points of Differentiation
• Re-engineering Improvement in SCM
• What is Supply Chain Drivers?
• Supply Chain Operations Reference (SCOR) Model
• Customer Service and Cost Trade Off
• Internal and External Performance Measures
• Linking Supply Chain and Business Performance
• Netflix’s Niche Focused Strategy
• Disney and Pixar Merger
• Process Planning at Mcdonald’s

Service Operations Management

• What is Service?
• What is Service Operations Management?
• What is Service Design?
• Service Design Process
• Service Delivery
• What is Service Quality?
• Gap Model of Service Quality
• Juran Trilogy
• Service Performance Measurement
• Service Decoupling
• IT Service Operation
• Service Operations Management in Different Sector

Procurement Management

• What is Procurement Management?
• Procurement Negotiation
• Types of Requisition
• RFX in Procurement
• What is Purchasing Cycle?
• Vendor Managed Inventory
• Internal Conflict During Purchasing Operation
• Spend Analysis in Procurement
• Sourcing in Procurement
• Supplier Evaluation and Selection in Procurement
• Blacklisting of Suppliers in Procurement
• Total Cost of Ownership in Procurement
• Incoterms in Procurement
• Documents Used in International Procurement
• Transportation and Logistics Strategy
• What is Capital Equipment?
• Procurement Process of Capital Equipment
• Acquisition of Technology in Procurement
• What is E-Procurement?
• E-marketplace and Online Catalogues
• Fixed Price and Cost Reimbursement Contracts
• Contract Cancellation in Procurement
• Ethics in Procurement
• Legal Aspects of Procurement
• Global Sourcing in Procurement
• Intermediaries and Countertrade in Procurement

Strategic Management

• What is Strategic Management?
• What is Value Chain Analysis?
• Mission Statement
• Business Level Strategy
• What is SWOT Analysis?
• What is Competitive Advantage?
• What is Vision?
• What is Ansoff Matrix?
• Prahalad and Gary Hammel
• Strategic Management In Global Environment
• Competitor Analysis Framework
• Competitive Rivalry Analysis
• Competitive Dynamics
• What is Competitive Rivalry?
• Five Competitive Forces That Shape Strategy
• What is PESTLE Analysis?
• Fragmentation and Consolidation Of Industries
• What is Technology Life Cycle?
• What is Diversification Strategy?
• What is Corporate Restructuring Strategy?
• Resources and Capabilities of Organization
• Role of Leaders In Functional-Level Strategic Management
• Functional Structure In Functional Level Strategy Formulation
• Information And Control System
• What is Strategy Gap Analysis?
• Issues In Strategy Implementation
• Matrix Organizational Structure
• What is Strategic Management Process?

Supply Chain

• What is Supply Chain Management?
• Supply Chain Planning and Measuring Strategy Performance
• What is Warehousing?
• What is Packaging?
• What is Inventory Management?
• What is Material Handling?
• What is Order Picking?
• Receiving and Dispatch, Processes
• What is Warehouse Design?
• What is Warehousing Costs?

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What is survey research.

15 min read Find out everything you need to know about survey research, from what it is and how it works to the different methods and tools you can use to ensure you’re successful.

Survey research is the process of  collecting data from a predefined group  (e.g. customers or potential customers) with the ultimate goal of uncovering insights about your products, services, or  brand overall .

As a  quantitative data collection  method, survey research can provide you with a goldmine of information that can inform crucial business and product decisions. But survey research needs careful planning and execution to get the results you want.

So if you’re thinking about using surveys to carry out research, read on.

Get started with our free survey software

Types of survey research

Calling these methods ‘survey research’ slightly underplays the complexity of this type of information gathering. From the expertise required to carry out each activity to the  analysis of the data  and its eventual application, a considerable amount of effort is required.

As for how you can carry out your research, there are several options to choose from — face-to-face interviews, telephone surveys, focus groups (though more interviews than surveys), online surveys, and panel surveys.

Typically, the survey method you choose will largely be guided by who you want to survey,  the size of your sample , your budget, and the type of information you’re hoping to gather.

Here are a few of the most-used survey types:

Face-to-face interviews

Before technology made it possible to conduct research using online surveys, telephone, and mail were the most popular methods for survey research. However face-to-face interviews were considered the gold standard — the only reason they weren’t as popular was due to their highly prohibitive costs.

When it came to face-to-face interviews, organisations would use highly trained researchers who knew when to probe or follow up on vague or problematic answers. They also knew when to offer assistance to respondents when they seemed to be struggling. The result was that these interviewers could get sample members to participate and engage in surveys in the most effective way possible, leading to higher response rates and better quality data.

Telephone surveys

While phone surveys have been popular in the past, particularly for measuring general consumer behaviour or beliefs, response rates have been declining since the 1990s .

Phone surveys are usually conducted using a random dialling system and software that a researcher can use to record responses.

This method is beneficial when you want to survey a large population but don’t have the resources to conduct face-to-face research surveys or run focus groups, or want to ask multiple-choice and  open-ended questions .

The downsides are they can: take a long time to complete depending on the response rate, and you may have to do a lot of cold-calling to get the information you need.

You also run the risk of respondents  not being completely honest . Instead, they’ll answer your survey questions quickly just to get off the phone.

Focus groups (interviews — not surveys)

Focus groups are a separate  qualitative methodology  rather than surveys — even though they’re often bunched together. They’re normally used for  survey pretesting and designing , but they’re also a great way to generate opinions and data from a diverse range of people.

Focus groups involve putting a cohort of  demographically  or socially diverse people in a room with a moderator and engaging them in a discussion on a particular topic, such as your product, brand, or service.

They remain a highly popular  method for market research , but they’re expensive and require a lot of administration to conduct and analyse the data properly.

You also run the risk of more dominant members of the group taking over the discussion and swaying the opinions of other people — potentially providing you with unreliable data.

Online surveys

Online surveys  have become one of the most popular survey methods due to being cost-effective, enabling researchers to accurately survey a large population quickly.

Online surveys can essentially be used by anyone for any research purpose – we’ve all seen the increasing popularity of polls on social media (although these are not scientific).

Using an online survey allows you to ask a series of different question types and collect data instantly that’s easy to analyse with the right software.

There are also several methods for running and distributing online surveys that allow you to get your questionnaire in front of a large population at a fraction of the cost of face-to-face interviews or focus groups.

This is particularly true when it comes to mobile surveys as most people with a smartphone can access them online.

However, you have to be aware of the potential dangers of using online surveys, particularly when it comes to the survey respondents. The biggest risk is because online surveys require access to a computer or mobile device to complete, they could exclude elderly members of the population who don’t have access to the technology — or don’t know how to use it.

It could also exclude those from poorer socio-economic backgrounds who can’t afford a computer or consistent internet access. This could mean the data collected is more biased towards a certain group and can lead to less accurate data when you’re looking for a representative population sample.

When it comes to surveys, every voice matters.

Panel surveys

A panel survey involves recruiting respondents who have specifically signed up to answer questionnaires and who are put on a list by a research company. This could be a workforce of a small company or a major subset of a national population. Usually, these groups are carefully selected so that they represent a sample of your target population — giving you balance across criteria such as age, gender, background, and so on.

Panel surveys give you access to the respondents you need and are usually provided by the research company in question. As a result, it’s much easier to get access to the right audiences as you just need to tell the research company your criteria. They’ll then determine the right panels to use to answer your questionnaire.

However, there are downsides. The main one being that if the research company offers its panels incentives, e.g. discounts, coupons, money — respondents may answer a lot of questionnaires just for the benefits.

This might mean they rush through your survey without providing considered and truthful answers. As a consequence, this can damage the credibility of your data and potentially ruin your analyses.

What are the benefits of using survey research?

Depending on the research method you use, there are lots of benefits to conducting survey research for data collection. Here, we cover a few:

1.   They’re relatively easy to do

Most research surveys are easy to set up, administer and analyse. As long as the planning and survey design is thorough and you target the right audience , the data collection is usually straightforward regardless of which survey type you use.

2.   They can be cost effective

Survey research can be relatively cheap depending on the type of survey you use.

Generally, qualitative research methods that require access to people in person or over the phone are more expensive and require more administration.

Online surveys or mobile surveys are often more cost-effective for market research and can give you access to the global population for a fraction of the cost.

3.   You can collect data from a large sample

Again, depending on the type of survey, you can obtain survey results from an entire population at a relatively low price. You can also administer a large variety of survey types to fit the project you’re running.

4.   You can use survey software to analyse results immediately

Using survey software, you can use advanced statistical analysis techniques to gain insights into your responses immediately.

Analysis can be conducted using a variety of parameters to determine the validity and reliability of your survey data at scale.

5.   Surveys can collect any type of data

While most people view surveys as a quantitative research method, they can just as easily be adapted to gain qualitative information by simply including open-ended questions or conducting interviews face to face.

How to measure concepts with survey questions

While surveys are a great way to obtain data, that data on its own is useless unless it can be analysed and developed into actionable insights.

The easiest, and most effective way to measure survey results, is to use a dedicated research tool that puts all of your survey results into one place.

When it comes to survey measurement, there are four measurement types to be aware of that will determine how you treat your different survey results:

Nominal scale

With a nominal scale , you can only keep track of how many respondents chose each option from a question, and which response generated the most selections.

An example of this would be simply asking a responder to choose a product or brand from a list.

You could find out which brand was chosen the most but have no insight as to why.

Ordinal scale

Ordinal scales are used to judge an order of preference. They do provide some level of quantitative value because you’re asking responders to choose a preference of one option over another.

Ratio scale

Ratio scales can be used to judge the order and difference between responses. For example, asking respondents how much they spend on their weekly shopping on average.

Interval scale

In an interval scale, values are lined up in order with a meaningful difference between the two values — for example, measuring temperature or measuring a credit score between one value and another.

Step by step: How to conduct surveys and collect data

Conducting a survey and collecting data is relatively straightforward, but it does require some careful planning and design to ensure it results in reliable data.

Step 1 – Define your objectives

What do you want to learn from the survey? How is the data going to help you? Having a hypothesis or series of assumptions about survey responses will allow you to create the right questions to test them.

Step 2 – Create your survey questions

Once you’ve got your hypotheses or assumptions, write out the questions you need answering to test your theories or beliefs. Be wary about framing questions that  could lead respondents or inadvertently create biased responses .

Step 3 – Choose your question types

Your survey should include a variety of question types and should aim to obtain quantitative data with some qualitative responses from open-ended questions. Using a mix of questions (simple Yes/ No, multiple-choice, rank in order, etc) not only increases the reliability of your data but also reduces survey fatigue and respondents simply answering questions quickly without thinking.

Step 4 – Test your questions

Before sending your questionnaire out, you should test it (e.g. have a random internal group do the survey) and carry out A/B tests to ensure you’ll gain accurate responses.

Step 5 – Choose your target and send out the survey

Depending on your objectives, you might want to target the general population with your survey or a specific segment of the population. Once you’ve narrowed down who you want to target, it’s time to send out the survey.

After you’ve deployed the survey, keep an eye on the response rate to ensure you’re getting the number you expected. If your response rate is low, you might need to send the survey out to a second group to obtain a large enough sample — or do some troubleshooting to work out why your response rates are so low. This could be down to your questions, delivery method, selected sample, or otherwise.

Step 6 – Analyse results and draw conclusions

Once you’ve got your results back, it’s time for the fun part.

Break down your survey responses using the parameters you’ve set in your objectives and analyse the data to compare to your original assumptions. At this stage, a research tool or software can make the analysis a lot easier — and that’s somewhere Qualtrics can help.

Get reliable insights with survey software from Qualtrics

Gaining feedback from customers  and leads is critical for any business, data gathered from surveys can prove invaluable for understanding your products and your market position, and with survey software from Qualtrics , it couldn’t be easier.

Used by more than 13,000 brands and supporting more than 1 billion surveys a year, Qualtrics empowers everyone in your organisation to gather insights and take action. No coding required — and your data is housed in one system.

Get feedback from more than 125 sources on a single platform and view and measure your data in one place to  create actionable insights  and gain a deeper understanding of your target customers.

Automatically run complex text and statistical analysis to uncover exactly what your survey data is telling you, so you can react in real-time and make smarter decisions.

We can help you with survey management, too. From designing your survey and finding your target respondents to getting your survey in the field and reporting back on the results, we can help you every step of the way.

And for expert market researchers and survey designers, Qualtrics features custom programming to give you total flexibility over question types, survey design, embedded data, and other variables.

No matter what type of survey you want to run, what target audience you want to reach, or what assumptions you want to test or answers you want to uncover, we’ll help you design, deploy and analyse your survey with our team of experts.

Start your survey research today with Qualtrics

Related resources

Thematic analysis 11 min read, post event survey questions 10 min read, choosing the best survey tools 16 min read, survey app 11 min read, close-ended questions 7 min read, survey vs questionnaire 12 min read, likert scales 14 min read, request demo.

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• Victor Yocco
• Apr 9, 2024

Connecting With Users: Applying Principles Of Communication To UX Research

• 30 min read
• UX , User Research , Communication
• Share on Twitter ,  LinkedIn

About The Author

Victor Yocco, PhD, has over a decade of experience as a UX researcher and research director. He is currently affiliated with Allelo Design and is taking on … More about Victor ↬

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Communication is in everything we do. We communicate with users through our research, our design, and, ultimately, the products and services we offer. UX practitioners and those working on digital product teams benefit from understanding principles of communication and their application to our craft. Treating our UX processes as a mode of communication between users and the digital environment can help unveil in-depth, actionable insights.

In this article, I’ll focus on UX research. Communication is a core component of UX research , as it serves to bridge the gap between research insights, design strategy, and business outcomes. UX researchers, designers, and those working with UX researchers can apply key aspects of communication theory to help gather valuable insights, enhance user experiences, and create more successful products.

Fundamentals of Communication Theory

Communications as an academic field encompasses various models and principles that highlight the dynamics of communication between individuals and groups. Communication theory examines the transfer of information from one person or group to another. It explores how messages are transmitted, encoded, and decoded, acknowledges the potential for interference (or ‘noise’), and accounts for feedback mechanisms in enhancing the communication process.

In this article, I will focus on the Transactional Model of Communication . There are many other models and theories in the academic literature on communication. I have included references at the end of the article for those interested in learning more.

The Transactional Model of Communication (Figure 1) is a two-way process that emphasizes the simultaneous sending and receiving of messages and feedback . Importantly, it recognizes that communication is shaped by context and is an ongoing, evolving process. I’ll use this model and understanding when applying principles from the model to UX research. You’ll find that much of what is covered in the Transactional Model would also fall under general best practices for UX research, suggesting even if we aren’t communications experts, much of what we should be doing is supported by research in this field.

Understanding the Transactional Model

Let’s take a deeper dive into the six key factors and their applications within the realm of UX research:

• Sender: In UX research, the sender is typically the researcher who conducts interviews, facilitates usability tests, or designs surveys. For example, if you’re administering a user interview, you are the sender who initiates the communication process by asking questions.
• Receiver: The receiver is the individual who decodes and interprets the messages sent by the sender. In our context, this could be the user you interview or the person taking a survey you have created. They receive and process your questions, providing responses based on their understanding and experiences.
• Message: This is the content being communicated from the sender to the receiver. In UX research, the message can take various forms, like a set of survey questions, interview prompts, or tasks in a usability test.
• Channel: This is the medium through which the communication flows. For instance, face-to-face interviews, phone interviews, email surveys administered online, and usability tests conducted via screen sharing are all different communication channels. You might use multiple channels simultaneously, for example, communicating over voice while also using a screen share to show design concepts.
• Noise: Any factor that may interfere with the communication is regarded as ‘noise.’ In UX research, this could be complex jargon that confuses respondents in a survey, technical issues during a remote usability test, or environmental distractions during an in-person interview.
• Feedback: The communication received by the receiver, who then provides an output, is called feedback. For example, the responses given by a user during an interview or the data collected from a completed survey are types of feedback or the physical reaction of a usability testing participant while completing a task.

Applying the Transactional Model of Communication to Preparing for UX Research

We can become complacent or feel rushed to create our research protocols. I think this is natural in the pace of many workplaces and our need to deliver results quickly. You can apply the lens of the Transactional Model of Communication to your research preparation without adding much time. Applying the Transactional Model of Communication to your preparation should:

• Improve Clarity The model provides a clear representation of communication, empowering the researcher to plan and conduct studies more effectively.
• Minimize misunderstanding By highlighting potential noise sources, user confusion or misunderstandings can be better anticipated and mitigated.
• Enhance research participant participation With your attentive eye on feedback, participants are likely to feel valued, thus increasing active involvement and quality of input.

You can address the specific elements of the Transactional Model through the following steps while preparing for research:

Defining the Sender and Receiver

In UX research, the sender can often be the UX researcher conducting the study, while the receiver is usually the research participant. Understanding this dynamic can help researchers craft questions or tasks more empathetically and efficiently. You should try to collect some information on your participant in advance to prepare yourself for building a rapport.

For example, if you are conducting contextual inquiry with the field technicians of an HVAC company, you’ll want to dress appropriately to reflect your understanding of the context in which your participants (receivers) will be conducting their work. Showing up dressed in formal attire might be off-putting and create a negative dynamic between sender and receiver.

Message Creation

The message in UX research typically is the questions asked or tasks assigned during the study. Careful consideration of tenor, terminology, and clarity can aid data accuracy and participant engagement. Whether you are interviewing or creating a survey, you need to double-check that your audience will understand your questions and provide meaningful answers. You can pilot-test your protocol or questionnaire with a few representative individuals to identify areas that might cause confusion.

Using the HVAC example again, you might find that field technicians use certain terminology in a different way than you expect, such as asking them about what “tools” they use to complete their tasks yields you an answer that doesn’t reflect digital tools you’d find on a computer or smartphone, but physical tools like a pipe and wrench.

Choosing the Right Channel

The channel selection depends on the method of research. For instance, face-to-face methods might use physical verbal communication, while remote methods might rely on emails, video calls, or instant messaging. The choice of the medium should consider factors like tech accessibility, ease of communication, reliability, and participant familiarity with the channel. For example, you introduce an additional challenge (noise) if you ask someone who has never used an iPhone to test an app on an iPhone.

Minimizing Noise

Noise in UX research comes in many forms, from unclear questions inducing participant confusion to technical issues in remote interviews that cause interruptions. The key is to foresee potential issues and have preemptive solutions ready.

Facilitating Feedback

You should be prepared for how you might collect and act on participant feedback during the research. Encouraging regular feedback from the user during UX research ensures their understanding and that they feel heard. This could range from asking them to ‘think aloud’ as they perform tasks or encouraging them to email queries or concerns after the session. You should document any noise that might impact your findings and account for that in your analysis and reporting.

Track Your Alignment to the Framework

You can track what you do to align your processes with the Transactional Model prior to and during research using a spreadsheet. I’ll provide an example of a spreadsheet I’ve used in the later case study section of this article. You should create your spreadsheet during the process of preparing for research, as some of what you do to prepare should align with the factors of the model.

You can use these tips for preparation regardless of the specific research method you are undertaking. Let’s now look closer at a few common methods and get specific on how you can align your actions with the Transactional Model.

Applying the Transactional Model to Common UX Research Methods

UX research relies on interaction with users. We can easily incorporate aspects of the Transactional Model of Communication into our most common methods. Utilizing the Transactional Model in conducting interviews, surveys, and usability testing can help provide structure to your process and increase the quality of insights gathered.

Interviews are a common method used in qualitative UX research. They provide the perfect method for applying principles from the Transactional Model. In line with the Transactional Model, the researcher (sender) sends questions (messages) in-person or over the phone/computer medium (channel) to the participant (receiver), who provides answers (feedback) while contending with potential distraction or misunderstanding (noise). Reflecting on communication as transactional can help remind us we need to respect the dynamic between ourselves and the person we are interviewing. Rather than approaching an interview as a unidirectional interrogation, researchers need to view it as a conversation.

Applying the Transactional Model to conducting interviews means we should account for a number of facts to allow for high-quality communication. Note how the following overlap with what we typically call best practices.

Asking Open-ended Questions

To truly harness a two-way flow of communication, open-ended questions, rather than close-ended ones, are crucial. For instance, rather than asking, “Do you use our mobile application?” ask, “Can you describe your use of our mobile app?”. This encourages the participant to share more expansive and descriptive insights, furthering the dialogue.

Actively Listening

As the success of an interview relies on the participant’s responses, active listening is a crucial skill for UX researchers. The researcher should encourage participants to express their thoughts and feelings freely. Reflective listening techniques , such as paraphrasing or summarizing what the participant has shared, can reinforce to the interviewee that their contributions are being acknowledged and valued. It also provides an opportunity to clarify potential noise or misunderstandings that may arise.

Being Responsive

Building on the simultaneous send-receive nature of the Transactional Model, researchers must remain responsive during interviews. Providing non-verbal cues (like nodding) and verbal affirmations (“I see,” “Interesting”) lets participants know their message is being received and understood, making them feel comfortable and more willing to share.

We should always attempt to account for noise in advance, as well as during our interview sessions. Noise, in the form of misinterpretations or distractions, can disrupt effective communication. Researchers can proactively reduce noise by conducting a dry run in advance of the scheduled interviews . This helps you become more fluent at going through the interview and also helps identify areas that might need improvement or be misunderstood by participants. You also reduce noise by creating a conducive interview environment, minimizing potential distractions, and asking clarifying questions during the interview whenever necessary.

For example, if a participant uses a term the researcher doesn’t understand, the researcher should politely ask for clarification rather than guessing its meaning and potentially misinterpreting the data.

Additional forms of noise can include participant confusion or distraction. You should let participants know to ask if they are unclear on anything you say or do. It’s a good idea to always ask participants to put their smartphones on mute. You should only provide information critical to the process when introducing the interview or tasks. For example, you don’t need to give a full background of the history of the product you are researching if that isn’t required for the participant to complete the interview. However, you should let them know the purpose of the research, gain their consent to participate, and inform them of how long you expect the session to last.

Strategizing the Flow

Researchers should build strategic thinking into their interviews to support the Transaction Model. Starting the interview with less intrusive questions can help establish rapport and make the participant more comfortable, while more challenging or sensitive questions can be left for later when the interviewee feels more at ease.

A well-planned interview encourages a fluid dialogue and exchange of ideas. This is another area where conducting a dry run can help to ensure high-quality research. You and your dry-run participants should recognize areas where questions aren’t flowing in the best order or don’t make sense in the context of the interview, allowing you to correct the flow in advance.

While much of what the Transactional Model informs for interviews already aligns with common best practices, the model would suggest we need to have a deeper consideration of factors that we can sometimes give less consideration when we become overly comfortable with interviewing or are unaware of the implications of forgetting to address the factors of context considerations, power dynamics, and post-interview actions.

Context Considerations

You need to account for both the context of the participant, e.g., their background, demographic, and psychographic information, as well as the context of the interview itself. You should make subtle yet meaningful modifications depending on the channel you are conducting an interview.

For example, you should utilize video and be aware of your facial and physical responses if you are conducting an interview using an online platform, whereas if it’s a phone interview, you will need to rely on verbal affirmations that you are listening and following along, while also being mindful not to interrupt the participant while they are speaking.

Power Dynamics

Researchers need to be aware of how your role, background, and identity might influence the power dynamics of the interview. You can attempt to address power dynamics by sharing research goals transparently and addressing any potential concerns about bias a participant shares.

We are responsible for creating a safe and inclusive space for our interviews. You do this through the use of inclusive language, listening actively without judgment, and being flexible to accommodate different ways of knowing and expressing experiences. You should also empower participants as collaborators whenever possible . You can offer opportunities for participants to share feedback on the interview process and analysis. Doing this validates participants’ experiences and knowledge and ensures their voices are heard and valued.

Post-Interview Actions

You have a number of options for actions that can close the loop of your interviews with participants in line with the “feedback” the model suggests is a critical part of communication. Some tactics you can consider following your interview include:

• Debriefing Dedicate a few minutes at the end to discuss the participant’s overall experience, impressions, and suggestions for future interviews.
• Short surveys Send a brief survey via email or an online platform to gather feedback on the interview experience.
• Follow-up calls Consider follow-up calls with specific participants to delve deeper into their feedback and gain additional insight if you find that is warranted.
• Thank you emails Include a “feedback” section in your thank you email, encouraging participants to share their thoughts on the interview.

You also need to do something with the feedback you receive. Researchers and product teams should make time for reflexivity and critical self-awareness.

As practitioners in a human-focused field, we are expected to continuously examine how our assumptions and biases might influence our interviews and findings. “

We shouldn’t practice our craft in a silo. Instead, seeking feedback from colleagues and mentors to maintain ethical research practices should be a standard practice for interviews and all UX research methods.

By considering interviews as an ongoing transaction and exchange of ideas rather than a unidirectional Q&A, UX researchers can create a more communicative and engaging environment. You can see how models of communication have informed best practices for interviews. With a better knowledge of the Transactional Model, you can go deeper and check your work against the framework of the model.

The Transactional Model of Communication reminds us to acknowledge the feedback loop even in seemingly one-way communication methods like surveys. Instead of merely sending out questions and collecting responses, we need to provide space for respondents to voice their thoughts and opinions freely. When we make participants feel heard, engagement with our surveys should increase, dropouts should decrease, and response quality should improve.

Like other methods, surveys involve the researcher(s) creating the instructions and questionnaire (sender), the survey, including any instructions, disclaimers, and consent forms (the message), how the survey is administered, e.g., online, in person, or pen and paper (the channel), the participant (receiver), potential misunderstandings or distractions (noise), and responses (feedback).

Designing the Survey

Understanding the Transactional Model will help researchers design more effective surveys. Researchers are encouraged to be aware of both their role as the sender and to anticipate the participant’s perspective as the receiver. Begin surveys with clear instructions, explaining why you’re conducting the survey and how long it’s estimated to take. This establishes a more communicative relationship with respondents right from the start. Test these instructions with multiple people prior to launching the survey.

Crafting Questions

The questions should be crafted to encourage feedback and not just a simple yes or no. You should consider asking scaled questions or items that have been statistically validated to measure certain attributes of users.

For example, if you were looking deeper at a mobile banking application, rather than asking, “Did you find our product easy to use?” you would want to break that out into multiple aspects of the experience and ask about each with a separate question such as “On a scale of 1–7, with 1 being extremely difficult and 7 being extremely easy, how would you rate your experience transferring money from one account to another?” .

Reducing ‘noise,’ or misunderstandings, is crucial for increasing the reliability of responses. Your first line of defense in reducing noise is to make sure you are sampling from the appropriate population you want to conduct the research with. You need to use a screener that will filter out non-viable participants prior to including them in the survey. You do this when you correctly identify the characteristics of the population you want to sample from and then exclude those falling outside of those parameters.

Additionally, you should focus on prioritizing finding participants through random sampling from the population of potential participants versus using a convenience sample, as this helps to ensure you are collecting reliable data.

When looking at the survey itself, there are a number of recommendations to reduce noise. You should ensure questions are easily understandable, avoid technical jargon, and sequence questions logically. A question bank should be reviewed and tested before being finalized for distribution.

For example, question statements like “Do you use and like this feature?” can confuse respondents because they are actually two separate questions: do you use the feature, and do you like the feature? You should separate out questions like this into more than one question.

You should use visual aids that are relevant whenever possible to enhance the clarity of the questions. For example, if you are asking questions about an application’s “Dashboard” screen, you might want to provide a screenshot of that page so survey takers have a clear understanding of what you are referencing. You should also avoid the use of jargon if you are surveying a non-technical population and explain any terminology that might be unclear to participants taking the survey.

The Transactional Model suggests active participation in communication is necessary for effective communication . Participants can become distracted or take a survey without intending to provide thoughtful answers. You should consider adding a question somewhere in the middle of the survey to check that participants are paying attention and responding appropriately, particularly for longer surveys.

This is often done using a simple math problem such as “What is the answer to 1+1?” Anyone not responding with the answer of “2” might not be adequately paying attention to the responses they are providing and you’d want to look closer at their responses, eliminating them from your analysis if deemed appropriate.

Encouraging Feedback

While descriptive feedback questions are one way of promoting dialogue, you can also include areas where respondents can express any additional thoughts or questions they have outside of the set question list. This is especially useful in online surveys, where researchers can’t immediately address participant’s questions or clarify doubts.

You should be mindful that too many open-ended questions can cause fatigue , so you should limit the number of open-ended questions. I recommend two to three open-ended questions depending on the length of your overall survey.

Post-Survey Actions

After collecting and analyzing the data, you can send follow-up communications to the respondents. Let them know the changes made based on their feedback, thank them for their participation, or even share a summary of the survey results. This fulfills the Transactional Model’s feedback loop and communicates to the respondent that their input was received, valued, and acted upon.

You can also meet this suggestion by providing an email address for participants to follow up if they desire more information post-survey. You are allowing them to complete the loop themselves if they desire.

Applying the transactional model to surveys can breathe new life into the way surveys are conducted in UX research. It encourages active participation from respondents, making the process more interactive and engaging while enhancing the quality of the data collected. You can experiment with applying some or all of the steps listed above. You will likely find you are already doing much of what’s mentioned, however being explicit can allow you to make sure you are thoughtfully applying these principles from the field communication.

Usability Testing

Usability testing is another clear example of a research method highlighting components of the Transactional Model. In the context of usability testing, the Transactional Model of Communication’s application opens a pathway for a richer understanding of the user experience by positioning both the user and the researcher as sender and receiver of communication simultaneously.

Here are some ways a researcher can use elements of the Transactional Model during usability testing:

Task Assignment as Message Sending

When a researcher assigns tasks to a user during usability testing, they act as the sender in the communication process. To ensure the user accurately receives the message, these tasks need to be clear and well-articulated. For example, a task like “Register a new account on the app” sends a clear message to the user about what they need to do.

You don’t need to tell them how to do the task, as usually, that’s what we are trying to determine from our testing, but if you are not clear on what you want them to do, your message will not resonate in the way it is intended. This is another area where a dry run in advance of the testing is an optimal solution for making sure tasks are worded clearly.

Observing and Listening as Message Receiving

As the participant interacts with the application, concept, or design, the researcher, as the receiver, picks up on verbal and nonverbal cues. For instance, if a user is clicking around aimlessly or murmuring in confusion, the researcher can take these as feedback about certain elements of the design that are unclear or hard to use. You can also ask the user to explain why they are giving these cues you note as a way to provide them with feedback on their communication.

Real-time Interaction

The transactional nature of the model recognizes the importance of real-time interaction. For example, if during testing, the user is unsure of what a task means or how to proceed, the researcher can provide clarification without offering solutions or influencing the user’s action. This interaction follows the communication flow prescribed by the transactional model. We lose the ability to do this during unmoderated testing; however, many design elements are forms of communication that can serve to direct users or clarify the purpose of an experience (to be covered more in article two).

In usability testing, noise could mean unclear tasks, users’ preconceived notions, or even issues like slow software response. Acknowledging noise can help researchers plan and conduct tests better. Again, carrying out a pilot test can help identify any noise in the main test scenarios, allowing for necessary tweaks before actual testing. Other forms of noise can be less obvious but equally intrusive. For example, if you are conducting a test using a Macbook laptop and your participant is used to a PC, there is noise you need to account for, given their unfamiliarity with the laptop you’ve provided.

The fidelity of the design artifact being tested might introduce another form of noise. I’ve always advocated testing at any level of fidelity, but you should note that if you are using “Lorem Ipsum” or black and white designs, this potentially adds noise.

One of my favorite examples of this was a time when I was testing a financial services application, and the designers had put different balances on the screen; however, the total for all balances had not been added up to the correct total. Virtually every person tested noted this discrepancy, although it had nothing to do with the tasks at hand. I had to acknowledge we’d introduced noise to the testing. As at least one participant noted, they wouldn’t trust a tool that wasn’t able to total balances correctly.

Under the Transactional Model’s guidance, feedback isn’t just final thoughts after testing; it should be facilitated at each step of the process. Encouraging ‘think aloud’ protocols , where the user verbalizes their thoughts, reactions, and feelings during testing, ensures a constant flow of useful feedback.

You are receiving feedback throughout the process of usability testing, and the model provides guidance on how you should use that feedback to create a shared meaning with the participants. You will ultimately summarize this meaning in your report. You’ll later end up uncovering if this shared meaning was correctly interpreted when you design or redesign the product based on your findings.

We’ve now covered how to apply the Transactional Model of Communication to three common UX Research methods. All research with humans involves communication. You can break down other UX methods using the Model’s factors to make sure you engage in high-quality research.

Analyzing and Reporting UX Research Data Through the Lens of the Transactional Model

The Transactional Model of Communication doesn’t only apply to the data collection phase (interviews, surveys, or usability testing) of UX research. Its principles can provide valuable insights during the data analysis process.

The Transactional Model instructs us to view any communication as an interactive, multi-layered dialogue — a concept that is particularly useful when unpacking user responses. Consider the ‘message’ components: In the context of data analysis, the messages are the users’ responses. As researchers, thinking critically about how respondents may have internally processed the survey questions, interview discussion, or usability tasks can yield richer insights into user motivations.

Understanding Context

Just as the Transactional Model emphasizes the simultaneous interchange of communication, UX researchers should consider the user’s context while interpreting data. Decoding the meaning behind a user’s words or actions involves understanding their background, experiences, and the situation when they provide responses.

Deciphering Noise

In the Transactional Model, noise presents a potential barrier to effective communication. Similarly, researchers must be aware of snowballing themes or frequently highlighted issues during analysis. Noise, in this context, could involve patterns of confusion, misunderstandings, or consistently highlighted problems by users. You need to account for this, e.g., the example I provided where participants constantly referred to the incorrect math on static wireframes.

Considering Sender-Receiver Dynamics

Remember that as a UX researcher, your interpretation of user responses will be influenced by your understandings, biases, or preconceptions, just as the responses were influenced by the user’s perceptions. By acknowledging this, researchers can strive to neutralize any subjective influence and ensure the analysis remains centered on the user’s perspective. You can ask other researchers to double-check your work to attempt to account for bias.

For example, if you come up with a clear theme that users need better guidance in the application you are testing, another researcher from outside of the project should come to a similar conclusion if they view the data; if not, you should have a conversation with them to determine what different perspectives you are each bringing to the data analysis.

Reporting Results

Understanding your audience is crucial for delivering a persuasive UX research presentation. Tailoring your communication to resonate with the specific concerns and interests of your stakeholders can significantly enhance the impact of your findings. Here are some more details:

• Identify Stakeholder Groups Identify the different groups of stakeholders who will be present in your audience. This could include designers, developers, product managers, and executives.
• Prioritize Information Prioritize the information based on what matters most to each stakeholder group. For example, designers might be more interested in usability issues, while executives may prioritize business impact.
• Adapt Communication Style Adjust your communication style to align with the communication preferences of each group. Provide technical details for developers and emphasize user experience benefits for executives.

Acknowledging Feedback

Respecting this Transactional Model’s feedback loop, remember to revisit user insights after implementing design changes. This ensures you stay user-focused, continuously validating or adjusting your interpretations based on users’ evolving feedback. You can do this in a number of ways. You can reconnect with users to show them updated designs and ask questions to see if the issues you attempted to resolve were resolved.

Another way to address this without having to reconnect with the users is to create a spreadsheet or other document to track all the recommendations that were made and reconcile the changes with what is then updated in the design. You should be able to map the changes users requested to updates or additions to the product roadmap for future updates. This acknowledges that users were heard and that an attempt to address their pain points will be documented.

Crucially, the Transactional Model teaches us that communication is rarely simple or one-dimensional. It encourages UX researchers to take a more nuanced, context-aware approach to data analysis, resulting in deeper user understanding and more accurate, user-validated results.

By maintaining an ongoing feedback loop with users and continually refining interpretations, researchers can ensure that their work remains grounded in real user experiences and needs. “

Tracking Your Application of the Transactional Model to Your Practice

You might find it useful to track how you align your research planning and execution to the framework of the Transactional Model. I’ve created a spreadsheet to outline key factors of the model and used this for some of my work. Demonstrated below is an example derived from a study conducted for a banking client that included interviews and usability testing. I completed this spreadsheet during the process of planning and conducting interviews. Anonymized data from our study has been furnished to show an example of how you might populate a similar spreadsheet with your information.

You can customize the spreadsheet structure to fit your specific research topic and interview approach. By documenting your application of the transactional model, you can gain valuable insights into the dynamic nature of communication and improve your interview skills for future research.

You can use the suggested columns from this table as you see fit, adding or subtracting as needed, particularly if you use a method other than interviews. I usually add the following additional Columns for logistical purposes:

• Date of Interview,
• Participant ID,
• Interview Format (e.g., in person, remote, video, phone).

By incorporating aspects of communication theory into UX research, UX researchers and those who work with UX researchers can enhance the effectiveness of their communication strategies, gather more accurate insights, and create better user experiences. Communication theory provides a framework for understanding the dynamics of communication, and its application to UX research enables researchers to tailor their approaches to specific audiences, employ effective interviewing techniques, design surveys and questionnaires, establish seamless communication channels during usability testing, and interpret data more effectively.

As the field of UX research continues to evolve, integrating communication theory into research practices will become increasingly essential for bridging the gap between users and design teams, ultimately leading to more successful products that resonate with target audiences.

As a UX professional, it is important to continually explore and integrate new theories and methodologies to enhance your practice . By leveraging communication theory principles, you can better understand user needs, improve the user experience, and drive successful outcomes for digital products and services.

Integrating communication theory into UX research is an ongoing journey of learning and implementing best practices. Embracing this approach empowers researchers to effectively communicate their findings to stakeholders and foster collaborative decision-making, ultimately driving positive user experiences and successful design outcomes.

References and Further Reading

• The Mathematical Theory of Communication (PDF), Shannon, C. E., & Weaver, W.
• From organizational effectiveness to relationship indicators: Antecedents of relationships, public relations strategies, and relationship outcomes , Grunig, J. E., & Huang, Y. H.
• Communication and persuasion: Psychological studies of opinion change, Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Yale University Press
• Communication research as an autonomous discipline, Chaffee, S. H. (1986). Communication Yearbook, 10, 243-274
• Interpersonal Communication: Everyday Encounters (PDF), Wood, J. (2015)
• Theories of Human Communication , Littlejohn, S. W., & Foss, K. A. (2011)
• McQuail’s Mass Communication Theory (PDF), McQuail, D. (2010)
• Bridges Not Walls: A Book About Interpersonal Communication , Stewart, J. (2012)

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• Open access
• Published: 15 June 2024

Barriers to help-seeking, accessing and providing mental health support for medical students: a mixed methods study using the candidacy framework

• Elena Sheldon   ORCID: orcid.org/0000-0002-1927-471X 1 , 4 ,
• Naseeb Ezaydi   ORCID: orcid.org/0000-0002-2642-1108 1 ,
• Lauren Desoysa 1 ,
• Jasmine Young 2 ,
• Melanie Simmonds-Buckley   ORCID: orcid.org/0000-0003-3808-4134 3 ,
• Prof Daniel Hind   ORCID: orcid.org/0000-0002-6409-4793 1 &
• Prof Chris Burton   ORCID: orcid.org/0000-0003-0233-2431 1  

BMC Health Services Research volume  24 , Article number:  738 ( 2024 ) Cite this article

Metrics details

The mental health of medical students is a national and international problem increasing in both demand and acuity. Medical students face barriers to accessing mental health support that is clinically effective, timely and appropriate for their needs. This mixed methods study aimed to explore experiences of these barriers and the challenges to health service delivery aligned to the Candidacy Framework.

One hundred three medical students studying at The University of Sheffield completed an online survey comprising the CCAPS-34 and follow-up questions about service access and use. Semi-structured interviews with a nested sample of 20 medical students and 10 healthcare professionals explored barriers to service access and provision. A stakeholder panel of medical students and professionals met quarterly to co-produce research materials, interpret research data and identify touchpoints by pinpointing specific areas and moments of interaction between a medical student as a service user and a mental health service.

Medical students who experienced barriers to help-seeking and accessing support scored significantly higher for psychological symptoms on the CCAPS-34. Uncertainty and fear of fitness to practice processes were important barriers present across all seven stages of candidacy. The fragmented structure of local services, along with individual factors such as perceived stigma and confidentiality concerns, limited the progression of medical students through the Candidacy Framework (a framework for understanding the different stages of a person’s journey to healthcare).

This study outlines important areas of consideration for mental health service provision and policy development to improve access to and the quality of care for medical students.

Peer Review reports

The mental health of medical students is a national and international problem [ 1 ], requiring urgent attention [ 2 ]. Mental health problems can emerge as early as the first year with symptoms of depression, anxiety, burnout and suicidal ideation [ 3 , 4 ]. A meta-analysis of 183 studies across 43 countries showed that the prevalence of depression among medical students was 27%, with 11% of those students reporting suicidal ideation and more than 80% feeling under-supported [ 1 ]. Episodes of poor mental health are associated with adverse outcomes such as alcohol and substance abuse, self-harm and dropping out of medical school [ 3 , 5 ].

Medical students face particular sets of barriers to help-seeking and accessing mental health support; less than a quarter of those with clinical levels of depression report using counselling services [ 6 ]. Barriers include stigma, perceiving a mental health problem as a weakness and beliefs about “fitness to practice” (FTP) proceedings, with presumed implications for career progression [ 7 ] and the possibility of expulsion [ 8 ]. Jadzinski et al. [ 9 ] reported a lack of understanding of what FTP expectations are for medical students and inconsistencies with Higher Education Institution (HEI) processes in managing FTP concerns. Internationally, the barriers to help-seeking, which affect medical students disproportionately, are complex and multi-faceted [ 10 , 11 ].

HEIs have seen a growing demand for services to meet the mental health needs of medical students [ 12 , 13 , 14 ]. University support services are required to provide brief in-house support to students, including counselling or mental health centres, disability support, and wellbeing services. Longer-term or specialist support for acute mental health problems are provided by external services. The Student Services Partnership Evaluation and Quality Standards (SPEQS), developed by Sheffield and University College London, included a toolkit addressing some of the challenges to cross-sector working from a professional perspective [ 15 ]. SPEQS provides a generic groundwork that must now be tailored to understanding how professionals can better meet the specific mental health needs of medical students and the associated challenges.

Access barriers, difficulty navigating pathways and overstretched health services mean that medical students who feel able to seek help can fall between the gaps [ 16 ]. Medical students may delay approaching services until their needs are severe or impact their studies [ 17 ], and may turn to more acute care settings to access professional support [ 18 ]. Understanding the experiences of medical students who have ‘fallen through the cracks’ and the challenges to treatment access are essential to improving the quality of services [ 19 ]. The aim of this study was to examine how barriers to accessing and navigating mental health services arise and intersect with challenges to service provision in the unique context of medical student mental health.

Theoretical framework

We adopted the Candidacy Framework developed by Mary Dixon-Woods and colleagues [ 20 ]. Candidacy represents the idea that an individual’s access to and successful use of health services is an iterative process influenced by individual, professional, organisational, structural and resource factors. It has been used to understand healthcare experiences of vulnerable groups, including persons with MS [ 21 ] and young onset dementia [ 22 ], but has not been applied to medical students who experience mental health problems. Our study explored help-seeking behaviours, access barriers and the challenges to health service delivery aligned to the Candidacy Framework.

This study used a mixed methods sequential design, consisting of two distinct work packages: (1) quantitative survey to describe patterns of help seeking and unmet mental health needs and (2) nested semi-structured interviews to understand more nuanced aspects of accessing and delivering support. We adhered to the Good Reporting of A Mixed Methods Study (GRAMMS) guidelines (Additional Material 1) [ 19 , 20 ].

Improved systems of support can only be achieved in partnership with their intended users, participating on equal terms as stakeholders [ 23 ]. Based on the reported benefits of service user involvement in mental health service development and delivery [ 24 ], a stakeholder panel of nine medical students and five professionals met quarterly to co-produce research materials, interpret research data and identify touchpoints by pinpointing specific moments and areas of interaction between a medical student as a service user and a mental health service. These touchpoints are critical for understanding the user experience and are often targets for improving satisfaction and effectiveness. Professionals were selected for involvement in the stakeholder panel based on their organisation and role. Staff from the University of Sheffield’s Medical School ( n  = 2), NHS professionals working in community mental health settings (including low-intensity and acute care provision) ( n  = 2), and a researcher specialising in the field of student mental health ( n  = 1) were approached by e-mail. Medical students with lived experience were self-selected following an advertisement that was circulated by e-mail to all medical students at The University of Sheffield’s Medical School. The stakeholder panel therefore involved a diversity of voices to ensure meaningful input throughout that was based on both professional and lived experiences.

Work Package 1 involved a cross-sectional online survey of medical students studying at School of Medicine and Population Health, The University of Sheffield. The survey included the Counselling Centre Assessment of Psychological Symptoms (CCAPS-34) [ 25 ], a 34-item instrument with seven distinct sub-scales related to psychological symptoms and distress in university students. Items are rated on a five-point Likert scale (0 = not at all like me, 4 = extremely like me) with higher scores indicating higher severity. The survey employed multiple choice questions on participant demographics, help-seeking behaviours and service use (Additional Material 2). The survey was conducted using the Qualtrics Research Suite (Qualtrics, Provo, UT), with a one-week response window from 04/11/2022 to 11/11/2022.

An email invitation was sent to all eligible medical students aged 18 or over and studying MBChB Medicine (A100) degree or MBChB Graduate Entry Medicine (A101) at The University of Sheffield. The email included a webpage link to the Participant Information Sheet and online survey. Informed consent was completed online prior to data collection. The survey link was advertised on the student intranet news feed.

To ensure confidentiality, names were not collected except where medical students consented to contact for the interviews. Data was stored on a secure file server accessible only to the research team. Descriptive statistics and one-way ANOVAs were produced using the software R version 4.2.1 to explore differences in symptom profiles between demographics, help-seeking behaviours and service use. CCAPS-34 subscales could not be calculated where participants responded with the same value for each question in the subscale. At least 33% of questions must be answered in the subscale to calculate a valid subscale score. The overall CCPAS-34 scores and subscale scores are calculated by the mean of the available items, assuming the missing data rules hold. Details on the scoring and handling of missing data for the CCPAS-34 can be found in Additional Material 3.

Medical students responding to the survey were invited to register interest in semi-structured interviews (Work Package 2). The survey therefore provided a nested cohort from which a purposive sample of medical students were approached by email. Sampling was based on those with the highest CCAPS-34 scores, or a disclosure of previous or current use of mental health services. Medical students who disclosed mental health concerns but decided not to seek help based on their responses to the multiple-choice questions on help-seeking behaviours and service use were also approached. The stakeholder panel informed sampling based on maximum variation for demographic characteristics. Professionals were contacted for interview by email based on their organisation and role. 20 medical students and ten professionals were invited to take part by e-mail that provided a Participant Information Sheet and contact details for the research team This was considered adequate for data saturation [ 26 ] using established frameworks [ 27 ] and demonstrates integration of mixed methods at the design stage.

Interviews took place using a secure internet application with an audio consent procedure. Topic guides were co-designed with the stakeholder panel (Additional Materials 4 and 5). Potential items for the topic guide were informed by theories of (non-) help-seeking in young adults [ 28 ], covering known barriers to help-seeking and risk factors. Stakeholders selected, modified and added items for inclusion in the topic guide based on their lived experiences, values and priorities. Final drafts of the topic guides were reviewed and approved by the stakeholder panel. Encrypted digital recordings were transcribed verbatim. Two researchers analysed the transcripts and all free-text survey responses within NVivo Version 12 (QSR International), using the five stages of National Centre for Social Care ‘Framework’ analysis approach: familiarisation; identifying themes; indexing; charting; interpretation and mapping [ 29 ]. This process involved using codes as a system for marking ‘parts of the text that are of special interest’ and themes as converting ‘codes into core concepts that represent the most important aspects of the results’ [ 30 ] based on the Candidacy Framework (Table  1 ).

Ethical considerations

This project received favourable opinion from ScHARR Research Ethics Committee (049592).

Quantitative findings

Survey demographics.

We received 103 survey responses (103/1500, 6.9% response rate). Table 2 shows a breakdown of participant demographic categories and responses to the follow-up questions. The majority of medical students were female (66.0%), white (69.9%) and studying in their home/birth country (93.2%). Most respondents were in their first year of study (14.6%) with fewer respondents in their fifth (10.7%) and sixth years (7.8%).

CCPAS-34 scores

Of the 103 respondents, 102 completed all CCAPS items; the remaining participant completed less than 50% so were excluded in the analysis. The mean (SD) overall score for the 102 participants was 1.28 (0.62). Medical students obtained the highest score on Social Anxiety (mean = 1.96, SD = 0.94) and the lowest score on Frustration/Anger (mean = 0.76, SD = 0.68). The following subscales could not be scored because those participants responded with the same value for each question in that subscale, so their score could not be calculated: Academic Distress (8/103), Alcohol (39/103), Depression (12/103), Eating Concerns (49/103), Frustration (36/103), Generalised Anxiety (6/103) and Social Anxiety (6/103).

Statistical findings

The results of the statistical analyses are found in Additional Material 6. No significant findings were found between overall CCAPS-34 scores and participant demographics or the subscale scores and demographics ( p  > 0.05). Significant responses were found between overall CCAPS-34 scores and the follow-up questions, indicating those who responded ‘yes’ to those questions scored significantly higher for psychological symptoms ( p  < 0.05).

Significant responses were found between the following CCAPS-34 subscale scores and follow-up questions: Academic Distress, Depression, Frustration, Generalised Anxiety and Social Anxiety (where three out of the four questions were significant). Floor and ceiling effects for each subscale were calculated with the unadjusted mean differences (Additional Material 7).

Qualitative findings

Of the 103 respondents, 64 (62%) medical students consented to be contacted for interview. Interviews were conducted with 20 medical students and 10 professionals (see Table  3 for participant characteristics). As well as generic issues with access to mental healthcare for all University students, medical students face particular barriers at each stage of the Candidacy Framework (Fig.  1 ). Uncertainty and fear of FTP processes were mapped to all stages of candidacy as an important barrier to help-seeking and accessing support. The stigma of appearing “weak” in medical school culture; the challenges of clinical placements; and confidentiality concerns when working clinically were also highlighted as key individual-level barriers. Healthcare professionals offered insights into the fragmented structure of local services, in particular the gap in support provision between primary and secondary care.

The Candidacy Framework aligned with key barriers and facilitators in the medical student pathway

Fitness to practice concerns across the stages of candidacy

FTP concerns were mapped as a barrier across all Candidacy stages. Medical students who were unable to progress beyond Stage 1 reported being in denial about having a mental health problem in fear of FTP ramifications: ‘As soon as you access support you’re admitting you have a problem, so if you don’t access the support it’s just like, the denial can keep going’ (S14). Some medical students rejected referrals and offers of treatment (Stage 6): ‘I was really worried it was going to have an effect on whether or not people thought I was able to study, so I didn’t access it’ (S01).

Professionals described how FTP concerns limited data sharing opportunities where medical students chose to opt out of their information being shared with the University. In reality however, FTP proceedings were experienced as exceptional cases where symptoms were complex, acute and presented significant risks to patient safety. Crucially, professionals emphasised that concerns arise when care is not sought or accepted: ‘We do our best to say to students you’re not going to get into trouble for having a health problem. […]. You will get into trouble for letting it get worse and not dealing with it, because you’ve got a responsibility to be safe and practice’ (P03).

Stage 1: Identification of candidacy

Medical students spend a considerable amount of time in this first stage of the Candidacy Framework where they determine whether their mental health concern warrants professional support. One reason for failing to identify themselves as suitable candidates was the prioritisation of studies over mental health and wellbeing. The stigma associated with mental illness amongst peers meant that seeking help is perceived as weakness or professional risk.

‘For people who work in the medical field or want to, then I think [the stigma] can be higher because they think it shouldn’t happen to them and they shouldn’t need support’ (P06).

Stage 2: Navigation of services

Once medical students identified themselves as a candidate, they determined where and how to receive appropriate care. Participants described:

A lack of knowledge of services available for their mental health concern

Practical barriers related to studying medicine, for example inconvenient appointment times. Often participants described that they ‘just simply don’t have the time’ (S16).

‘That’s definitely one of the reasons why I wouldn’t access help. [...] It’s really hard to arrange appointments if you don’t know who or what you’re going to be doing’ (S18).

Professionals reflected that whilst there are a range of services accessible to medical students, they often lack awareness of what support is available. The challenge for professionals is to help medical students navigate that system by signposting to the appropriate service, arranging access via referrals or providing information on how to access a service.

‘I think being able to work out which box you fit into and how to access that is more of a challenge than there not being support around.’ (P02).

Stage 3: Permeability of services

Most medical students reported that services were chosen based on ease of access or permeability. For those with common or ‘mild’ mental health symptoms, the University services and NHS Sheffield Talking Therapies were accessed often and easily. Medical students with acute or complex mental health problems defaulted to services that were most permeable – i.e., those with the fewest criteria to gain entry, such as the emergency department. Mental health services that would be appropriate for their level of acuity were considered inaccessible due to long waiting lists and complex referral processes.

‘There’s a lot available for mild mental health, but for the more complex or unwell states of mental health it’s more difficult. […] It’s difficult when you fall somewhere between mild mental health and severe mental health’ (S02).

Professionals recognised the gap between care offered at a primary and secondary care level. This important challenge to service provision arose when medical students required longer-term or specialist services which have high thresholds for acceptance. Professionals reflected however, that this barrier is experienced beyond the medical student context and is recognised nationally in the UK.

‘There’s a big gap between what’s available at the primary and secondary care level. So people with acute mental health problems where a short-term approach is not going to be helpful for, it’s hard to access psychotherapy for those people’ (P10).

Stage 4: Appearances at healthcare

Medical students expressed feeling uncomfortable attending appointments to discuss their mental health concerns to practitioners and described concerns that they might be known to them in an academic context.

‘When I go to the GP, anything that I’m saying, I’m potentially saying to a future colleague that I’m potentially working with so how are they going to view me?’ (S07).

Stage 5: Adjudication by professionals

Medical students then faced the task of convincing healthcare providers of their candidacy for care. Many participants reported feeling invalidated or dismissed due to preconceptions held on medical students’ risk.

Healthcare provider adjudications were influenced by perceptions that there is nothing suitable to offer students and were therefore considered unfit candidates for care. In these cases, medical students reported being discharged without support or being signposted to an alternative service with lower thresholds for acceptance.

‘They went along the lines of you’re a medical student, you’re functioning, you don’t need input from us. So they discharged me, and they discharged me without any support’ (S01).

Professionals described their frustrations however, when support cannot be offered based on a medical students’ presentation and the level of acuity required for acceptance. What was perceived as dismissive by medical students may reflect limited support options at a secondary care level.

‘So often you want to give people something or you can identify something that could really help them but they don’t meet the criteria to access that. So that’s a big barrier’ (P01).

Stage 6: Offers of services

Medical students rejected offers of care due to:

Practical barriers, such as long working hours on placement.

Inappropriate or limited support offered that did not fit their needs.

Support not offered within an acceptable time frame.

‘During that time I was on placement and I was like, they’d already wriggled around my placement, I really I can’t do that again. So I declined that’ (S06).

Some medical students accepted care offers from private services to overcome these barriers. This is particularly unacceptable when considering the widening participation strategies to include medical students who are less likely to have affluent socioeconomic backgrounds and experience increased financial burden whilst studying in the UK. Professionals made efforts to overcome barriers by adapting to individual needs, for example by offering study leave so that treatment offers could be facilitated.

Stage 7: Operating conditions

Participants described overarching influences, including:

Poor coordination, continuity or transference of care, especially for those who received care prior to university.

Low capacity due to high caseloads and demand for local services.

Limited room space; inappropriate waiting environments.

‘I think due to waiting time, if you are at the point where you’re trying to access services and they’re just not there, it deters you from it.’ (S17).

Summary of principal findings

Medical students who experienced higher levels of psychological symptoms were significantly more likely to report help-seeking concerns. This study presents key barriers to accessing mental health support at each stage of the Candidacy Framework. Uncertainty and fear of FTP processes were important barriers present across all stages. The fragmented structure of local services, along with individual factors such as stigma and confidentiality concerns, further limited the progression of medical students through the candidacy stages.

Relationship to other research

Previous studies and policy frameworks have identified similar barriers to seeking and accessing mental health care for medical students [ 6 , 7 , 8 , 26 , 27 ], focusing primarily on individual barriers such as stigma or FTP concerns. Importantly, our findings reinforce that medical students are reluctant to disclose a mental health problem due to the feared consequences of regulatory FTP proceedings that would lead to dismissal and expulsion. The Candidacy Framework allowed us to go further by understanding how individual and service-level barriers arise and intersect with professional challenges to service provision. Applying the Framework to guide the qualitative analysis also uncovered new and unique challenges across the ‘service-user’ journey. For example, medical students with acute and complex mental health problems may fall through the gaps between primary and secondary healthcare. While there are similar studies in this field, previous findings are based on small focus groups of medical students which do not consider the perspectives of professionals working across healthcare and educational settings. To our knowledge, our study is the first to provide mixed methods findings that represent a diversity of voices and provide deeper insights into the fragmented structure of services, with care providers working across different healthcare organisations and HEIs, which are driven by different priorities. Taken together, these barriers significantly impact on candidacy and mean that medical students may feel unable to seek or access support that is clinically effective, timely and appropriate for their needs.

Limitations and strengths

A strength of this work was that the study protocol and research materials were co-produced by a stakeholder panel of professionals and medical students with lived experience. Data was discussed by the panel to ensure views were robust, accurate and representative of values and needs. This study therefore provides an example of how working in partnership with people with lived experience and professional stakeholders can meaningfully inform our understanding of mental health service delivery and development. Another strength was the triangulation of multiple data sources to understand barriers to service access and delivery. The initial survey data uncovered how mental health symptoms may relate to help-seeking behaviours and service use. After this data was analysed, we determined how these barriers aligned with the Candidacy Framework and professionals’ experiences of service provision.

Surveying and interviewing medical students at one time point does not however, allow for an exploration of the complete student journey across a medicine degree. Potential limitations are the cross-sectional survey design, where a longitudinal approach may have allowed for a more robust view of how help-seeking may change during the academic year. We also acknowledge that the online survey was administered at the tail-end of the COVID-19 Pandemic, which may have accounted for increased psychological symptoms, such as anxiety [ 31 ]. Another limitation is the sole focus on a single UK medical school. Our low response rate may indicate a potential response bias, with medical students who have previously experienced mental health issues being more likely to participate in the survey than those who have not. We aimed for maximal variation by interviewing professionals from a range of settings and selecting medical students with different mental health profiles who had accessed a range of services. However, our findings are limited to a small sample size and reflect local context and policies – particularly in terms of how healthcare systems are configured and their operating conditions.

Implications for healthcare services, policy-makers and further research

Asserting candidacy takes work from the service user, healthcare and University professionals and other stakeholders [ 32 ]. Our findings can help to identify groups of medical students who are at risk of ‘falling through the cracks’ in the system, which is an essential condition to prioritising resource allocation and providing accessible care. In line with guidance from MQ Mental Health Research [ 33 ], policy-makers should aim to improve the accessibility of mental health services by providing integrated high-quality care and prioritising strategies to reduce stigma. For medical schools in particular, stigma reduction strategies should provide clear FTP guidance that supports informed decision-making, personalised planning and seeking timely and appropriate support for mental health symptoms. Universities and healthcare services should further aim to address the gap between primary and secondary services by providing care that is more integrated and coordinated – particularly for medical students with complex and acute mental health problems who, based on our findings, are possibly more at risk of falling between this gap in service provision. The Sheffield Primary and Community Mental Health Transformation Programme [ 34 ] provides a local model of care aiming to inform a new way of delivering adult mental health services and break down barriers between primary and secondary care. More generally, we recommend partnership working between HEIs, healthcare services and medical students to inform service development and delivery.

Future studies should explore the experiences of specific case groups of medical students, particularly those with different types and acuity of mental health symptoms to determine how these factors influence candidacy. The MIND collaboration ( https://doi.org/10.17605/OSF.IO/48WE2 ) is co-producing a process map of existing service pathways to identify gaps along the student journey and is co-designing a toolkit to address some of the touchpoints and barriers identified in this research.

Conclusions

Our findings indicate that fear of FTP processes, along with the fragmented structure of local services and individual factors such as perceived stigma, limit the progression of medical students through the Candidacy Framework. By understanding these barriers and gaps in service provision, Universities and healthcare services can be developed to better to meet medical students’ mental health needs based on their presenting problem and stage of candidacy.

Availability of data and materials

The statistical analysis plan and outputs are included as additional files. The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

Counselling Centre Assessment of Psychological Symptoms

Fitness to practice

Higher Education Institution

National Health Service

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Acknowledgements

The authors would like to thank the stakeholder panel of professionals and people with lived experience for their contributions: Dr Helen Crimlisk, Dr Fran Oldale, Dr Emma Broglia, Dr Dominic Strezynski, Adiy Ibrahim, Amran O Jimale, Changmin Doh, Eleanor Morris, Manjeevan Singh, Mohamed Morgan, Oscar Han, Sanjana Mehrotra and Srinath Ravi.

This work was funded by the British Medical Association (BMA) Foundation under The Scholarship Grant (2022). For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.

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Contributions

ES, JY, MSB, CB and DH conceived and designed the study. ES, NE, JY, CB and DH designed interview guides. ES and NE collected data and conducted the analysis and interpretation. ES, CB and DH conceptualised the theoretical framework. NE prepared the figures. LD conducted the statistical analyses. ES wrote the article and all authors critically revised the paper. All authors read and approved the final manuscript.

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This research study was approved by the ethics committee at Sheffield Centre for Health and Related Research, The University of Sheffield which offered a letter with reference number 049592 dated on 23/September/22. Written informed consent was obtained prior to data collection. All methods were carried out in accordance with relevant guidelines and regulations.

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Sheldon, E., Ezaydi, N., Desoysa, L. et al. Barriers to help-seeking, accessing and providing mental health support for medical students: a mixed methods study using the candidacy framework. BMC Health Serv Res 24 , 738 (2024). https://doi.org/10.1186/s12913-024-11204-8

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We’ve all seen the words “complementary,” “alternative,” and “integrative,” but what do they really mean?

This fact sheet looks into these terms to help you understand them better and gives you a brief picture of the mission and role of the National Center for Complementary and Integrative Health (NCCIH) in this area of research. The terms “complementary,” “alternative,” and “integrative” are continually evolving, along with the field, but the descriptions of these terms below are how we at the National Institutes of Health currently define them.

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According to a 2012 national survey, many Americans—more than 30 percent of adults and about 12 percent of children—use health care approaches that are not typically part of conventional medical care or that may have origins outside of usual Western practice. When describing these approaches, people often use “alternative” and “complementary” interchangeably, but the two terms refer to different concepts:

• If a non-mainstream approach is used  together with  conventional medicine, it’s considered “complementary.”
• If a non-mainstream approach is used  in place of  conventional medicine, it’s considered “alternative.”

Most people who use non-mainstream approaches also use conventional health care.

In addition to the terms complementary and alternative, you may also hear the term “functional medicine.” This term sometimes refers to a concept similar to integrative health (described below), but it may also refer to an approach that more closely resembles  naturopathy  (a medical system that has evolved from a combination of traditional practices and health care approaches popular in Europe during the 19th century).

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Integrative health brings conventional and complementary approaches together in a coordinated way. Integrative health also emphasizes multimodal interventions, which are two or more interventions such as conventional health care approaches (like medication, physical rehabilitation, psychotherapy), and complementary health approaches (like acupuncture, yoga, and probiotics) in various combinations, with an emphasis on treating the whole person rather than, for example, one organ system. Integrative health aims for well-coordinated care among different providers and institutions by bringing conventional and complementary approaches together to care for the whole person.

The use of integrative approaches to health and wellness has grown within care settings across the United States. Researchers are currently exploring the potential benefits of integrative health in a variety of situations, including pain management for military personnel and veterans, relief of symptoms in cancer patients and survivors, and programs to promote healthy behaviors.

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Whole person health refers to helping individuals, families, communities, and populations improve and restore their health in multiple interconnected domains—biological, behavioral, social, environmental—rather than just treating disease. Research on whole person health includes expanding the understanding of the connections between these various aspects of health, including connections between organs and body systems.

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• An NCCIH-funded study is developing an innovative, collaborative treatment model involving chiropractors, primary care providers, and mental health providers for veterans with spine pain and related mental health conditions.
• Other NCCIH-funded studies are testing the effects of adding mindfulness meditation, self-hypnosis, or other complementary approaches to pain management programs for veterans. The goal is to help patients feel and function better and reduce their need for pain medicines that can have serious side effects.
• For more information on pain management for military personnel and veterans, see NCCIH’s  Complementary Health Practices for U.S. Military, Veterans, and Families  webpage.

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• Massage therapy may lead to short-term improvements in pain and mood in patients with advanced cancer.
• Yoga may relieve the persistent fatigue that some women experience after breast cancer treatment, according to the results of a preliminary study.
• Tai chi or qigong have shown promise for managing symptoms such as fatigue, sleep difficulty, and depression in cancer survivors.
• For more information, see  NCCIH’s fact sheet on cancer .

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• Preliminary research suggests that yoga and meditation-based therapies may help smokers quit.
• In a study funded by the National Cancer Institute, complementary health practitioners (chiropractors, acupuncturists, and massage therapists) were successfully trained to provide evidence-based smoking cessation interventions to their patients.
• An NCCIH-funded study is testing whether a mindfulness-based program that involves the whole family can improve weight loss and eating behavior in adolescents who are overweight.
• For more information, see the NCCIH  Quitting Smoking  and  Weight Control  webpages.

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Complementary approaches can be classified by their primary therapeutic input (how the therapy is taken in or delivered), which may be:

• Nutritional (e.g., special diets, dietary supplements, herbs, and probiotics)
• Psychological (e.g., mindfulness)
• Physical (e.g., massage, spinal manipulation)
• Combinations such as psychological and physical (e.g., yoga, tai chi, acupuncture, dance or art therapies) or psychological and nutritional (e.g., mindful eating)

Nutritional approaches include what NCCIH previously categorized as natural products, whereas psychological and/or physical approaches include what was referred to as mind and body practices.

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These approaches include a variety of products, such as  herbs   (also known as botanicals),  vitamins and minerals , and  probiotics . They are widely marketed, readily available to consumers, and often sold as  dietary supplements .

According to the 2012 National Health Interview Survey (NHIS), which included a comprehensive survey on the use of complementary health approaches by Americans, 17.7 percent of American adults had used a dietary supplement other than vitamins and minerals in the past year. These products were the most popular complementary health approach in the survey. (See chart.) The most commonly used nonvitamin, nonmineral dietary supplement was fish oil.

Researchers have done large, rigorous studies on a few dietary supplements, but the results often showed that the products didn’t work for the conditions studied. Research on others is in progress. While there are indications that some may be helpful, more needs to be learned about the effects of these products in the human body, and about their  safety  and potential  interactions with medicines  and other natural products.

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Complementary physical and/or psychological approaches include tai chi , yoga , acupuncture , massage therapy , spinal manipulation , art therapy, music therapy, dance, mindfulness-based stress reduction, and many others. These approaches are often administered or taught by a trained practitioner or teacher. The 2012 NHIS showed that yoga, chiropractic and osteopathic manipulation , and meditation are among the most popular complementary health approaches used by adults. According to the 2017 NHIS , the popularity of yoga has grown dramatically in recent years, from 9.5 percent of U.S. adults practicing yoga in 2012 to 14.3 percent in 2017. The 2017 NHIS also showed that the use of meditation increased more than threefold from 4.1 percent in 2012 to 14.2 percent in 2017.

Other psychological and physical approaches include relaxation techniques   (such as breathing exercises and guided imagery),  qigong ,  hypnotherapy , Feldenkrais method, Alexander technique, Pilates, Rolfing Structural Integration, and Trager psychophysical integration.

Research findings suggest that several psychological and physical approaches, alone or in combination, are helpful for a variety of conditions. A few examples include the following:

• Acupuncture  may help ease types of pain that are often chronic, such as low-back pain, neck pain, and osteoarthritis/knee pain. Acupuncture may also help reduce the frequency of tension headaches and prevent migraine headaches.
• Meditation  may help reduce blood pressure, symptoms of anxiety and depression, and symptoms of irritable bowel syndrome and flare-ups in people with ulcerative colitis. Meditation may also benefit people with insomnia.
• Tai chi  appears to help improve balance and stability, reduce back pain and pain from knee osteoarthritis, and improve quality of life in people with heart disease, cancer, and other chronic illnesses.
• Yoga  may benefit people’s general wellness by relieving stress, supporting good health habits, and improving mental/emotional health, sleep, and balance. Yoga may also help with low-back pain and neck pain, anxiety or depressive symptoms associated with difficult life situations, quitting smoking, and quality of life for people with chronic diseases.

The amount of research on psychological and physical approaches varies widely depending on the practice. For example, researchers have done many studies on acupuncture, yoga, spinal manipulation, and meditation, but there have been fewer studies on some other approaches.

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Some complementary approaches may not neatly fit into either of these groups—for example, the practices of traditional healers, Ayurvedic medicine , traditional Chinese medicine , homeopathy , naturopathy , and functional medicine.

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NCCIH is the Federal Government’s lead agency for scientific research on complementary and integrative health approaches.

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The mission of NCCIH is to determine, through rigorous scientific investigation, the fundamental science, usefulness, and safety of complementary and integrative health approaches and their roles in improving health and health care.

NCCIH’s vision is that scientific evidence informs decision making by the public, by health care professionals, and by health policymakers regarding the integrated use of complementary health approaches in a whole person health framework.

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• Open access
• Published: 12 June 2024

To assess the knowledge, attitudes, and confidence of caregivers and administrators towards the oral health of nursing home residents in San Antonio, Texas

• Joseph Dumbuya 1 ,
• Rochisha S. Marwaha 1 ,
• Pankil K. Shah 2 &
• Suman Challa 1  

BMC Geriatrics volume  24 , Article number:  511 ( 2024 ) Cite this article

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Metrics details

The primary objective of this research was to use qualitative methods to assess the knowledge, attitudes, and confidence of caregivers in their ability to provide oral hygiene assistance to residents. The secondary objective was to assess the knowledge and attitude of administrators on the provision of oral hygiene assistance for residents, and their confidence in caregivers’ ability to provide oral hygiene assistance to nursing home residents in San Antonio, Texas.

A semi-structured interview guide was used to conduct face-to-face interviews with seven caregivers and twelve administrative staff from ten nursing homes in San Antonio, Texas. Employees in nursing homes who are caring for residents are referred to as caregivers and those whom they care for are referred to as nursing home residents. One survey instrument was developed for the caregiver’s knowledge, attitude, and confidence toward providing oral health care, and another to assess the administrator’s knowledge, attitude, and confidence in caregivers providing oral care for nursing home residents. The interviews were recorded, transcribed, and coded for thematic content.

The findings revealed that caregivers and administrators had adequate knowledge of the connection between oral and systemic health. The administrators were confident that caregivers were adequately trained to provide oral hygiene care for residents. Caregivers had a positive attitude toward the importance of good oral health. They regularly assessed the residents’ oral health, but due to time constraints, staffing shortages, and other competing tasks providing oral health care to the residents was challenging. Most caregivers were confident in their skills in providing oral care for the residents since 85.6% agreed. On the contrary, almost half of the administrators were confident that caregivers have the necessary skills to provide oral care for residents, while 41.7% were unsure.

Conclusions

The study gave a broader insight into the provision of oral care in nursing home residents from the perspectives of caregivers and administrative staff. Administrators must provide caregivers with adequate training and time so they can provide adequate oral health care for the residents.

Peer Review reports

Introduction

Since 2012, the older adult population aged 65 and older in the United States has experienced a rising trajectory and by the year 2050, this population was projected to be around 83.6 million, almost double the estimated 2012 population of 43.1 million [ 1 ]. As recent as 2011, about 4.1% of adults over the age of 65 years live in nursing homes, and about 15% of residents 85 years and older residing in nursing homes across the United States [ 2 ]. The city of San Antonio in Texas has a population of 243,000 inhabitants above the age of 60 years, and that population was expected to double by the year 2040 [ 3 ]. Older adults in nursing homes were more susceptible to poor oral health due to negligence, which led to unnecessary delays in responding to oral health issues, eventually affecting general health [ 4 , 5 , 6 ].

Poor oral hygiene, periodontal disease, and disease-causing bacteria in the oral cavity were associated with systemic diseases such as pneumonia, cardiovascular disease, and diabetes [ 6 ]. Pneumonia accounts for 13–48% of nursing home-related infections and had a 55% mortality rate among older adults residing in nursing homes. The aspiration of bacteria secretions from the oropharyngeal space into the lower respiratory tract was the primary pathway for bacterial pneumonia infections, particularly in patients with periodontal disease [ 2 ]. Nursing home residents with chronic diseases, degenerative nerve diseases that cause dysphagia, and those who use nasogastric or percutaneous enterogastric tubes were at a higher risk of bacteria-induced pneumonia [ 7 ]. The application of effective tooth brushing techniques, regular cleaning of dentures, and routine treatment by dentists and hygienists can decrease the rate of aspiration pneumonia in nursing home residents [ 6 ].

Most nursing home residents had poor manual dexterity and were heavily dependent on the knowledge and skills of caregivers (registered nurse (RN), licensed vocational nurse (LVN), certified nursing assistants (CNA), and medical aides) to care for their oral health. For this reason, it was essential for caregivers and administrators (social workers, Nursing home administrators, directors and assistant directors of nursing (DON) to have adequate knowledge of oral health care so they can successfully care for these residents [ 8 ]. Caregivers who were knowledgeable about caring for older adults were inclined to improve the patient’s health status, which can satisfy the expectations of the patient and their families [ 9 ]. Additionally, caregivers who had adequate knowledge, positive attitude, and skills to care for older adults in nursing homes had fewer problems in meeting the job’s daily demands and responded empathetically to the daily oral care of residents [ 10 ].

The negative attitudes of some caregivers towards oral care had affected the quality of care they provide for older adults, which can eventually lead to unfavorable oral health outcomes [ 11 ]. A cross-sectional study conducted by Lui et al. (2017) found that highly educated caregivers exhibited significant knowledge of oral health and a positive attitude toward oral hygiene care for patients [ 12 ]. Goh et al. (2016) investigated the perspectives and attitudes of caregivers toward oral care and found that caregivers had positive attitudes toward providing oral care, but about 50% lacked the confidence to provide oral care for the residents [ 13 ].

The confidence of caregivers in the delivery of oral healthcare can affect the caregiver’s ability to perform clinical tasks, quality of care, and patient’s oral health outcomes, and potentially further impact their relationships with patients and the healthcare team [ 14 ].

Studies had been performed to assess caregivers’ knowledge, attitudes, and practices regarding the oral hygiene assistance of nursing home residents internationally [ 12 , 15 , 16 ]. However, there were no reported studies regarding the assessment of the knowledge, attitudes, and confidence of caregivers in the provision of oral hygiene assistance to nursing home residents in the United States. This study aims to address the gaps in the literature regarding the beliefs and behaviors of caregivers and administrative staff in the provision of oral hygiene assistance for nursing home residents in San Antonio, Texas, and provide a new perspective for future studies. The primary objective of this research was to use qualitative methods to assess the knowledge, attitudes, and confidence of caregivers in their ability to provide oral hygiene assistance to residents. The secondary objective was to assess the knowledge and attitude of administrators in the provision of oral hygiene assistance for residents, and their confidence in caregivers’ ability to provide oral hygiene assistance to nursing home residents in San Antonio, Texas.

This research was deemed exempt (protocol number: 20210714NRR) by the Institutional Review Board (IRB) at the University of Texas Health Science Center in San Antonio. Twenty nursing homes in San Antonio that were affiliated with the University of Texas Health San Antonio School of Dentistry were randomly selected and invited to participate in the study. Out of twenty nursing homes invited to participate in the study, only 10 agreed to allow their staff to participate in the study. Nursing homes in San Antonio vary in size with 20–30 caregivers and 3–5 administrators per site. The study population included caregivers and administrators working at nursing homes or long-term care facilities in San Antonio, Texas. Registered nurses (RNs) licensed vocational nurses (LVNs), certified nursing assistants (CNAs), and medical aides are referred to as caregivers while social workers, nursing home administrators, directors, and assistant directors of nursing were referred to as administrators. Out of 250 caregivers and 40 administrators from 10 nursing homes who were eligible for the study, we were only able to recruit 7 caregivers and 12 administrators using a non-probability convenience sampling method. This study was conducted during the COVID-19 pandemic, so it was difficult to get more than 19 volunteers to participate in the study.

All caregivers and administrators who had worked at the nursing homes for at least three months, were 18 years and older, communicated in the English language, and voluntarily consented to participate in the study were eligible to participate. The participants who did not meet the inclusion criteria were excluded from the study. Also, participants provided informed consent by signing a consent form when they arrived at the interview location and before engaging in the interview. The participants were not offered any incentives for their involvement in the study.

A semi-structured interview guide developed from previous oral healthcare-related studies [ 17 , 18 , 19 , 20 ] that examined the knowledge, attitudes, practices, and confidence of various populations regarding oral healthcare was used to conduct face-to-face interviews with caregivers and administrators at nursing homes in San Antonio. Two different survey instruments were used for interviewing the caregivers and administrators. The first part of the interviews collected demographic data for the participants, such as age, gender, experience, and education. The following sections included questions to assess the knowledge of caregivers and administrators regarding oral health and their attitudes regarding the provision of oral care for nursing home residents. The final sections focus on assessing the caregiver’s confidence and administrators’ confidence in caregivers providing daily oral care for residents.

Each interview was conducted in a private space to maintain the confidentiality of the participant and lasted for 20–30 min. The interviewer obtained written informed consent before the interview, and the interviewer asked all the questions including the demographic questions. The interviews were conducted between October 2021 and January 2022 by a member of the research team and digitally recorded on an encrypted laptop, with only the research team having access to it. Data collected from study participants were stored in a safe and locked storage space at the University. The identity and confidentiality of the participants and collected data were protected throughout the study procedures.

Interviews were digitally recorded, transcribed, and hand-coded to form themes by one team member, and a qualitative data management software technology MAXQDA was used to code and generate themes by another team member using calibration among coders. The themes were compared between the two coders and a third member of the team broke the tie if the coders disagreed on t theme. The confidence-based questions were categorized on a 5-point Likert scale as it allows for a lower margin of error and provided a deeper insight. The themes gleaned from key-informant interviews were explored among team members which were followed by a discussion for quality assurance purposes.

The demographic data of caregivers ( N  = 7) and administrative staff ( N  = 12) from 10 nursing homes across San Antonio is shown in Table  1 .

Most of the study participants were female (79%), more than half of the caregivers had a high school education, and (43%) had an associate degree. All the administrators had an associate degree or higher and the participants’ mean work experience was 13.8 years.

Both the hand-coded and the MAXQDA software data analysis of the Interview data on the knowledge questions resulted in the themes, the connection between oral and systemic health, and training in oral health and oral healthcare. Interview data on attitudes resulted in the themes, the importance of good oral health, caregivers’ time constraints, and assessment of residents’ oral health.

Themes related to oral health knowledge-based questions

Theme 1: The connection between oral and systemic health : Most caregivers and staff understood the connection between oral and systemic health. They were aware that most nursing home residents had two or more morbidities some of which may lead to mortality if not treated accordingly. Their understanding of the connection between systemic and oral diseases such as diabetes, cardiovascular disease, and the side effects of certain medications on oral health has incentivized caregivers to care for the resident’s oral health to prevent the systemic spread of disease.

“At their age, if they (resident) get a tooth infection, that can travel through their bloodstream…and the resident needs to understand that. ” Caregiver.

“If you have poor oral hygiene, it can lead to infections in your system. You can get pneumonia; I think you can get it from poor oral health. It’s like a big problem: the chain of events that can lead to other things.” Administrator.

“The mouth is the gateway to your heart and the condition of your mouth will tell a lot of things about your health in general. If you are not getting good oral care, you are going to get more health issues as you progress in life, especially if you are elderly. “Administrator.

“If a resident has an infection from a tooth, it can travel throughout their body and may cause death…. I know in the past, we had problems with a patient because of tooth infection, which led to other issues with their health.” Administrator.

Theme 2: Training in oral health : Caregivers and administrators mentioned that they need more training to improve their oral health knowledge and learn new techniques to work with residents on ventilators and those with dementia who sometimes refuse or resist care. They also indicated that receiving continuing education (CE) on oral care will raise their level of awareness, increase their confidence in the delivery of oral care and hygiene, and improve health outcomes. One administrator also stressed the need to improve the curriculum of the certified nursing assistant (CNA) programs so they can get more hours of oral health education.

“More training will help a lot because sometimes we try different ways to do it, but it does not work out, so we need more information, and more training because dental care is very important.” Caregiver.

“I have been an instructor for the CNA program, and I know the training is good. If it comes from a dentist, it will probably be better regarding what the resident needs. But it is not something we can offer at this time. The training is there, but it is probably not as accepted as it should be, which needs improvement.” Administrator.

“There would be some new people coming in and may need more training on brushing teeth and doing denture care; some may be different from others. I am all up for new training and learning new things.” Caregiver.

“We need more training on the provision of oral care for residents, we need more individuals who are confident enough to train caregivers to provide oral hygiene assistance for residents. Oral care is an expertise so we need more education on that.” Administrator.

In response to the attitude-based questions, the themes that emerged were the importance of good oral health, caregivers’ time constraints, and residents’ oral health assessment.

Themes related to oral health attitude-based questions

Theme 3: The importance of good oral health : Almost all participants stressed the importance of good oral health and its impact on the residents’ overall health and well-being. They acknowledged that good oral health enables residents to consume their food adequately and absorb critical micronutrients, which were essential for the growth and function of their immune cells. Administrators believed that residents with compromised immune systems were more susceptible to chronic diseases that can be fatal. Good oral health can prevent aspiration pneumonia and other chronic diseases prevalent in nursing homes.

“Good oral health contributes to the health of the body. If you have good oral health, you tend to eat more, better, and more adequately. You will also be more likely to take your medication and be more outgoing because you feel comfortable about how you look.” Caregiver. “Residents with good oral health may have better health outcomes and be in a good mood. Good oral health makes them a whole different person, they can eat better, and their health is better.” Administrator. “In this nursing home, good oral health was essential because many patients were under ventilator and gastrostomy. Good oral health will decrease their risk of aspiration pneumonia, which was a horrible thing sometimes, we have here.” Administrator. “I think good oral health is important, especially for those who cannot do oral care because their disease process does not allow them to remember how to do it. It was also important for the caregivers to do it daily, and the family needs to see that oral care was performed and they are not going to visit their loved one and see food in their teeth… or a bad odor coming from their mouth.” Administrator.

Theme 4: Caregiver’s time constraints :. Prior to the coronavirus pandemic, some nursing homes had a proportion of 14 residents per caregiver. This situation worsened during the pandemic because nursing homes were competing with hospitals to employ caregivers. Almost all the caregivers and administrators stated that the shortage of caregivers, staff taking time off from work, absenteeism, and other competing tasks limited the time caregivers must provide oral care for the residents.

“Sometimes we have no time to care for the oral health of the residents. We have like 60 patients and 2 or 3 people to care for them, so we have no time.” Caregiver. “I don’t think they had enough time. I had always thought you had 30 patients in a hallway, and you only had two CNAs. They usually split it, and most of them require two persons’ help, limiting their time with all the chores they must do to take care of the patients.” Administrator. “I don’t think they are allowed enough time. If you have call-ins and you cannot get somebody to come in, then they are working short… they must be on that routine base, and they had to make sure they cover the shift and provide care for all the residents.” Administrator. “Making sure that caregivers had enough time to do their work is a challenge. Time management is everything but it also depends on what going on with your patients, what is going on in the hall, and how you are staffed, it depends on lots of things coming into play.” Administrator. “Our ratio of patient to caregiver is probably 1:12 and if they experience call-ins or no show then the ratio will increase from there so it is really hard to provide good oral hygiene if you are rushing from one patient to the next. Also, some of our resident’s caseloads just grow if there was a shortage of staffing and we don’t feel we had enough time as each day fluctuates. “Administrator.

Theme 5: Assessment of residents’ oral health : The state of Texas regulatory services for nursing homes requires that nursing home residents participate in an annual health screening to assess their oral health status so that nursing home administrators can plan and facilitate the provision of oral care for residents. Initial oral health assessment of newly admitted residents was also required for all nursing homes, served as a baseline, and was essential for planning and treating chronic oral diseases. Additionally, the regular assessment of the resident’s oral cavity helped caregivers determine the type of diet (soft or regular) that was suitable for the resident and subsequently enabled the nutritionist to plan the resident’s diet accordingly.

“As part of the initial assessment process, we examined the resident’s oral cavity to determine if they had total or partial dentures so we can plan for their oral care.” Caregiver. “We do initial oral health assessment for the residents upon arrival to our facility…. the nurses check their oral mucosa, gums, teeth, check for oral sores, thrush, and a partial denture or edentulous so we can carefully plan for the resident’s oral care and food type.” Administrator. “They had to assess the oral health of residents and if there were any oral issues they (caregivers) must report to the doctor, social worker, or director of nursing so they can attend to their needs.” Administrator. “We had to assess the resident’s oral cavity for missing teeth, chipped teeth, full or partial dentures… upon admission and document it. If we fail to identify any existing oral problems upon admission and something happens later then it will be our responsibility to care for that. So, it is important that we do an initial and regular assessment of the resident’s oral health.” Administrator.

Confidence of caregivers and administrators in the provision of oral health care

Confidence of caregivers relates to their confidence in the provision of oral care for residents. Administrators’ confidence in the provision of oral care relates to their confidence in their caregiver’s provision of oral health care.

The responses to the confidence-based questions for seven caregivers were based on a 5-point Likert scale (Table  2 ).

In response to questions on caregivers’ skills and denture care for residents, most caregivers agreed that they were confident in their skills to provide oral care (85.6%) and denture care (71.3%) for the residents, respectively. When asked about their confidence in providing oral care to resistive residents and discussing the harmful effects of tobacco use with the residents, most caregivers agreed that they were confident in working with combative residents (85.6%) and discussing tobacco use (57%) respectively.

The responses to the confidence-based questions for twelve administrators were also based on a 5-point Likert scale (Table  3 ).

The administrators were asked about caregivers’ confidence in providing adequate care for the residents and whether their diet contained essential nutrients for optimal oral health. Most of the administrators were confident that caregivers provided adequate care for the residents (66.7%) and that the resident’s diet contained all the nutrients to maintain optimal oral health (75%). In response to the question on caregivers’ skills to provide oral care, half of the administrators (50%were confident that their caregivers had adequate skills to provide oral care for residents, while 41.7% were unsure. Regarding training, administrators were confident that caregivers were adequately trained since 50% agreed with the statement.

To the best of our knowledge, this is the first study conducted in the United States that assessed the knowledge, attitudes, and confidence of caregivers and administrators in the provision of oral care for nursing home residents. Our findings showed that caregivers and administrators have adequate knowledge about the connection between oral and systemic health which is broadly consistent with previous studies [ 21 , 22 ]. A 2009 study to evaluate the importance of oral health in nursing homes revealed that older adults were more susceptible to chronic systemic diseases that can affect their overall health, and periodontal disease has been linked to systemic conditions through inflammatory processes [ 21 ]. In our study, caregivers and administrators were knowledgeable about the connection between oral and systemic health and that infection in the oral cavity can metastasize to other body organs through the bloodstream. They also understood that poor oral hygiene can lead to aspiration pneumonia prevalent among nursing home residents.

Another theme that emerged from the study was the need for more training for caregivers in providing oral care for the residents, which was consistent with previous studies [ 23 , 24 , 25 ]. Although caregivers and administrators were knowledgeable about oral health, a vast majority of caregivers requested continuing education (CE) to improve their knowledge and enhance their skills in providing oral healthcare for hostile and resistant patients. Additionally, almost half of the administrators felt that caregivers were adequately trainedto provide oral care for residents. Administrators who were responsible for planning and implementing CE programs for caregivers stated that they could not offer such programs due to staffing shortages, lack of time, and logistical challenges involved in implementing such programs. As a result, they are highly dependent on the oral care knowledge the Certified Nursing Assistants (CNAs) acquired from their CNA training programs which may be insufficient.

Caregivers’ time constraints emerged as a significant barrier to providing care for residents, consistent with other studies (23–24,). In this study, nearly all the administrators agreed that the caregivers lack sufficient time to provide oral care for the residents due to competing tasks, and staffing shortages leading to 1 caregiver caring for 8–10 residents at a time. Additionally, it was time-consuming to provide care for residents with dementia and combative residents. In a systematic review of studies on the knowledge, attitudes, and beliefs acting as barriers and facilitators for the provision of oral care, the authors found that it takes plenty of time to provide oral care to combative patients [ 26 ]. On the contrary, in a 2011 cross-sectional study performed in Sweden, the authors found that the nursing staff believed they had sufficient time to perform oral care practices [ 27 ].

Both caregivers and administrators understood the importance of good oral health which was consistent with previous studies [ 20 , 28 ]. Coleman (2002) found that effective oral care practice was about recognizing the importance and ensuring that daily oral hygiene care was given similar priority as bathing residents, combing their hair, administering medication, and other care practices [ 28 ]. In this study, caregivers believed that oral care was essential for nursing home residents, especially those on ventilators and gastrostomy. Residents with gastrostomy cannot be fed through the oral cavity resulting in neglect of oral care. Maeda and Akagi (2014) found that patients with limited oral intake or tube feeders need meticulous oral care to reduce poor clinical outcomes related to aspiration pneumonia [ 29 ].

Most participants revealed they must perform an initial assessment of the resident’s oral health before admission to their facility and whenever they complain of toothache. Some participants also explained that they sometimes could not adequately assess the resident’s teeth and periodontal structures due to a lack of cooperation by the residents. In a study performed in 2009, the authors stated that oral care was i not always adequately evaluated during assessments of the general health of residents due to lack of patient cooperation, time, restricted mouth opening, unpleasant nature of the task, lack of training, and knowledge [ 21 ].

Our study indicated that most of the caregivers agreed that they were confident in their skills in providing oral and denture care for the residents. However, administrators were confident in the caregiver’s ability and skills to provide oral and denture care for the residents. This is consistent with a 2014 study that reported that more caregivers felt confident in assisting residents with brushing their teeth than with flossing [ 30 ]. However, a cross-sectional study found that half of the caregivers lack confidence in providing oral care because of fear of harming the patient [ 13 ]. In our study, caregivers mentioned their challenges with providing oral care for residents on ventilators, but their experience had given them the confidence to provide adequate care.

One of the strengths of this study is that the interviews were conducted by a dentist who had no prior encounter with the participants, making it possible for participants to respond to the questions openly thereby reducing the potential for bias. Another strength of the study was that using qualitative methods provided insights into the attitudes of the respondents and why they agreed or disagreed with some of the questions and comments. Despite several strengths of this study, there were some limitations.

The study used a convenience sampling method to recruit participants, which may have led to selection bias. Most of the participants in the study were those who wanted to see positive change in the provision of oral care for residents, which may have accounted for response and social desirability bias. Participants may not have felt comfortable talking about their lack of confidence and abilities to a dentist for fear of being judged by an oral health expert, especially a dentist. They may have felt pressured to give good answers to look competent in the eyes of a dentist. Another limitation is that caregivers who volunteered to participate in the study may have been those who felt confident with their knowledge and skills, thus overestimating the caregiver’s knowledge and skills compared to the general caregiver population. Participant recruitment was a major challenge due to staffing shortages and COVID-19 restrictions in nursing homes. On several occasions, scheduled interviews with participants were canceled due to COVID-19 outbreaks and other emergencies which inadvertently prolonged the time for data collection. Although we assumed the sample is representative of nursing homes throughout Texas, the findings of this study may not be generalized to all nursing home residents in the United States due to possible differences in the regulation of oral care in nursing homes across states. Lastly, the question of whether caregivers had adequate time to perform oral hygiene care was not included in the survey instrument thereby limiting caregivers’ responses to the lack of adequate time to perform their daily tasks.

The study gave a broader insight into the provision of oral care in nursing homes from the perspectives of caregivers and administrative staff. Administrators must provide adequate training and time to caregivers so they can provide adequate oral health care for the residents. Future research must be undertaken to investigate the role of nursing home administrators in the provision of oral care for residents.

Public health recommendations

Implementation of a national policy for the provision of oral care for residents in long-term care settings, standardization of procedures coupled with an effective auditing system for compliance is indicated. In addition, nursing home authorities should be able to recruit and retain more caregivers through collaborative efforts with nursing training schools within the community to eliminate the problem of staffing shortages. We suggested that the oral care component of the curriculum of the CNA programs should be upgraded and enhanced in addition to being instructed by dental professionals. Lastly, nursing homes should consider appointing a dental champion who can coordinate continuing education and provision of oral hygiene and care for residents, especially those without dental insurance.

Data availability

The data that supports the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgements

We would like to acknowledge the participating nursing homes and staff who contributed their time and effort to this work. We also appreciate the support from co-resident Girish Shelke.

This program is supported by the Health Resources and Services Administration (HRSA) of the US Department of Health and Human Services (HHS) as part of an award totaling USD 3.25 million with 0% financed with nongovernmental sources. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement, by HRSA, HHS, or the US Government.

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The conception of and design of the study, J.D., R.S.M., and P.S., Software, MAQXDA, J.D., Validation, S.C., P.S., and R.S.M., Data collection, J.D., Data analysis and interpretation, J.D. and P.S., Writing- original draft preparation, J.D.; Writing -review and editing, J.D., R.S.M., and S.C., Supervision, S.C., and R.S.M.; All authors reviewed the manuscript and agreed to its publication.

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Dumbuya, J., Marwaha, R.S., Shah, P.K. et al. To assess the knowledge, attitudes, and confidence of caregivers and administrators towards the oral health of nursing home residents in San Antonio, Texas. BMC Geriatr 24 , 511 (2024). https://doi.org/10.1186/s12877-024-04784-x

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Surgeon General Issues New Advisory About Effects Social Media Use Has on Youth Mental Health

Surgeon General Dr. Vivek Murthy Urges Action to Ensure Social Media Environments are Healthy and Safe, as Previously-Advised National Youth Mental Health Crisis Continues

Today, United States Surgeon General Dr. Vivek Murthy released a new Surgeon General’s Advisory on Social Media and Youth Mental Health . While social media may offer some benefits, there are ample indicators that social media can also pose a risk of harm to the mental health and well-being of children and adolescents. Social media use by young people is nearly universal, with up to 95% of young people ages 13-17 reporting using a social media platform and more than a third saying they use social media “almost constantly.”

With adolescence and childhood representing a critical stage in brain development that can make young people more vulnerable to harms from social media, the Surgeon General is issuing a call for urgent action by policymakers, technology companies, researchers, families, and young people alike to gain a better understanding of the full impact of social media use, maximize the benefits and minimize the harms of social media platforms, and create safer, healthier online environments to protect children. The Surgeon General’s Advisory is a part of the Department of Health and Human Services’ (HHS) ongoing efforts to support President Joe Biden’s whole-of-government strategy to transform mental health care for all Americans.

“The most common question parents ask me is, ‘is social media safe for my kids’. The answer is that we don't have enough evidence to say it's safe, and in fact, there is growing evidence that social media use is associated with harm to young people’s mental health,” said U.S. Surgeon General Dr. Vivek Murthy . “Children are exposed to harmful content on social media, ranging from violent and sexual content, to bullying and harassment. And for too many children, social media use is compromising their sleep and valuable in-person time with family and friends. We are in the middle of a national youth mental health crisis, and I am concerned that social media is an important driver of that crisis – one that we must urgently address.”

Usage of social media can become harmful depending on the amount of time children spend on the platforms, the type of content they consume or are otherwise exposed to, and the degree to which it disrupts activities that are essential for health like sleep and physical activity. Importantly, different children are affected by social media in different ways, including based on cultural, historical, and socio-economic factors. Among the benefits, adolescents report that social media helps them feel more accepted (58%), like they have people who can support them through tough times (67%), like they have a place to show their creative side (71%), and more connected to what’s going on in their friends’ lives (80%).

However, social media use can be excessive and problematic for some children. Recent research shows that adolescents who spend more than three hours per day on social media face double the risk of experiencing poor mental health outcomes, such as symptoms of depression and anxiety; yet one 2021 survey of teenagers found that, on average, they spend 3.5 hours a day on social media. Social media may also perpetuate body dissatisfaction, disordered eating behaviors, social comparison, and low self-esteem, especially among adolescent girls. One-third or more of girls aged 11-15 say they feel “addicted” to certain social media platforms and over half of teenagers report that it would be hard to give up social media. When asked about the impact of social media on their body image, 46% of adolescents aged 13-17 said social media makes them feel worse, 40% said it makes them feel neither better nor worse, and only 14% said it makes them feel better. Additionally, 64% of adolescents are “often” or “sometimes” exposed to hate-based content through social media. Studies have also shown a relationship between social media use and poor sleep quality, reduced sleep duration, sleep difficulties, and depression among youth. 

While more research is needed to determine the full impact social media use has on nearly every teenager across the country, children and adolescents don’t have the luxury of waiting years until we know the full extent of social media’s effects. The Surgeon General’s Advisory offers recommendations stakeholders can take to help ensure children and their families have the information and tools necessary to make social media safer for children:

• Policymakers can take steps to strengthen safety standards and limit access in ways that make social media safer for children of all ages, better protect children’s privacy, support digital and media literacy, and fund additional research.
• Technology companies can better and more transparently assess the impact of their products on children, share data with independent researchers to increase our collective understanding of the impacts, make design and development decisions that prioritize safety and health – including protecting children’s privacy and better adhering to age minimums – and improve systems to provide effective and timely responses to complaints.
• Parents and caregivers can make plans in their households such as establishing tech-free zones that better foster in-person relationships, teach kids about responsible online behavior and model that behavior, and report problematic content and activity.
• Children and adolescents can adopt healthy practices like limiting time on platforms, blocking unwanted content, being careful about sharing personal information, and reaching out if they or a friend need help or see harassment or abuse on the platforms.
• Researchers can further prioritize social media and youth mental health research that can support the establishment of standards and evaluation of best practices to support children’s health.

In concert with the Surgeon General’s Advisory, leaders at six of the nation’s medical organizations have expressed their concern on social media’s effects on youth mental health:

“Social media can be a powerful tool for connection, but it can also lead to increased feelings of depression and anxiety – particularly among adolescents. Family physicians are often the first stop for parents and families concerned about the physical and emotional health of young people in their lives, and we confront the mental health crisis among youth every day. The American Academy of Family Physicians commends the Surgeon General for identifying this risk for America's youth and joins our colleagues across the health care community in equipping young people and their families with the resources necessary to live healthy, balanced lives.” – Tochi Iroku-Malize, M.D., MPH, MBA, FAAFP, President, American Academy of Family Physicians

“Today’s children and teens do not know a world without digital technology, but the digital world wasn’t built with children’s healthy mental development in mind. We need an approach to help children both on and offline that meets each child where they are while also working to make the digital spaces they inhabit safer and healthier. The Surgeon General’s Advisory calls for just that approach. The American Academy of Pediatrics looks forward to working with the Surgeon General and other federal leaders on Youth Mental Health and Social Media on this important work.” – Sandy Chung, M.D., FAAP, President, American Academy of Pediatrics

“With near universal social media use by America’s young people, these apps and sites introduce profound risk and mental health harms in ways we are only now beginning to fully understand. As physicians, we see firsthand the impact of social media, particularly during adolescence – a critical period of brain development. As we grapple with the growing, but still insufficient, research and evidence in this area, we applaud the Surgeon General for issuing this important Advisory to highlight this issue and enumerate concrete steps stakeholders can take to address concerns and protect the mental health and wellbeing of children and adolescents.We continue to believe in the positive benefits of social media, but we also urge safeguards and additional study of the positive and negative biological, psychological, and social effects of social media.”— Jack Resneck Jr., M.D., President, American Medical Association

“The first principle of health care is to do no harm – that’s the same standard we need to start holding social media platforms to. As the Surgeon General has pointed out throughout his tenure, we all have a role to play in addressing the youth mental health crisis that we now face as a nation. We have the responsibility to ensure social media keeps young people safe. And as this Surgeon General’s Advisory makes clear, we as physicians and healers have a responsibility to be part of the effort to do so.” – Saul Levin, M.D., M.P.A., CEO and Medical Director, American Psychiatric Association

“The American Psychological Association applauds the Surgeon General's Advisory on Social Media and Youth Mental Health, affirming the use of psychological science to reach clear-eyed recommendations that will help keep our youth safe online. Psychological research shows that young people mature at different rates, with some more vulnerable than others to the content and features on many social media platforms. We support the advisory's recommendations and pledge to work with the Surgeon General's Office to help build the healthy digital environment that our kids need and deserve.” – Arthur Evans, Jr., Ph.D., Chief Executive Officer and Executive Vice President, American Psychological Association.

“Social media use by young people is pervasive. It can help them, and all of us, live more connected lives – if, and only if, the appropriate oversight, regulation and guardrails are applied. Now is the moment for policymakers, companies and experts to come together and ensure social media is set up safety-first, to help young users grow and thrive. The Surgeon General’s Advisory about the effects of social media on youth mental health issued today lays out a roadmap for us to do so, and it’s critical that we undertake this collective effort with care and urgency to help today’s youth.” – Susan L. Polan, Ph.D., Associate Executive Director, Public Affairs and Advocacy, American Public Health Association

The National Parent Teacher Association shared the following:

“Every parent’s top priority for their child is for them to be happy, healthy and safe. We have heard from families who say they need and want information about using social media and devices. This Advisory from the Surgeon General confirms that family engagement on this topic is vital and continues to be one of the core solutions to keeping children safe online and supporting their mental health and well-being.” – Anna King, President of the National Parent Teacher Association .

In December 2021, Dr. Murthy issued a Surgeon General’s Advisory on Protecting Youth Mental Health calling attention to our national crisis of youth mental health and well-being. Earlier this month, he released a Surgeon General’s Advisory on Our Epidemic of Loneliness and Isolation , where he outlined the profound health consequences of social disconnection and laid out six pillars to increase connection across the country, one of which being the need to reform our digital environments. The new Surgeon General’s Advisory on Social Media and Youth Mental Health is a continuation of his work to enhance the mental health and well-being of young people across the country.

The full Surgeon General’s Advisory can be read here . For more information about the Office of the Surgeon General, visit www.surgeongeneral.gov/priorities .

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