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Research Questions – Types, Examples and Writing Guide

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Research Questions

Definition:

Research questions are the specific questions that guide a research study or inquiry. These questions help to define the scope of the research and provide a clear focus for the study. Research questions are usually developed at the beginning of a research project and are designed to address a particular research problem or objective.

Types of Research Questions

Types of Research Questions are as follows:

Descriptive Research Questions

These aim to describe a particular phenomenon, group, or situation. For example:

• What are the characteristics of the target population?
• What is the prevalence of a particular disease in a specific region?

Exploratory Research Questions

These aim to explore a new area of research or generate new ideas or hypotheses. For example:

• What are the potential causes of a particular phenomenon?
• What are the possible outcomes of a specific intervention?

Explanatory Research Questions

These aim to understand the relationship between two or more variables or to explain why a particular phenomenon occurs. For example:

• What is the effect of a specific drug on the symptoms of a particular disease?
• What are the factors that contribute to employee turnover in a particular industry?

Predictive Research Questions

These aim to predict a future outcome or trend based on existing data or trends. For example :

• What will be the future demand for a particular product or service?
• What will be the future prevalence of a particular disease?

Evaluative Research Questions

These aim to evaluate the effectiveness of a particular intervention or program. For example:

• What is the impact of a specific educational program on student learning outcomes?
• What is the effectiveness of a particular policy or program in achieving its intended goals?

How to Choose Research Questions

Choosing research questions is an essential part of the research process and involves careful consideration of the research problem, objectives, and design. Here are some steps to consider when choosing research questions:

• Identify the research problem: Start by identifying the problem or issue that you want to study. This could be a gap in the literature, a social or economic issue, or a practical problem that needs to be addressed.
• Conduct a literature review: Conducting a literature review can help you identify existing research in your area of interest and can help you formulate research questions that address gaps or limitations in the existing literature.
• Define the research objectives : Clearly define the objectives of your research. What do you want to achieve with your study? What specific questions do you want to answer?
• Consider the research design : Consider the research design that you plan to use. This will help you determine the appropriate types of research questions to ask. For example, if you plan to use a qualitative approach, you may want to focus on exploratory or descriptive research questions.
• Ensure that the research questions are clear and answerable: Your research questions should be clear and specific, and should be answerable with the data that you plan to collect. Avoid asking questions that are too broad or vague.
• Get feedback : Get feedback from your supervisor, colleagues, or peers to ensure that your research questions are relevant, feasible, and meaningful.

How to Write Research Questions

Guide for Writing Research Questions:

• Start with a clear statement of the research problem: Begin by stating the problem or issue that your research aims to address. This will help you to formulate focused research questions.
• Use clear language : Write your research questions in clear and concise language that is easy to understand. Avoid using jargon or technical terms that may be unfamiliar to your readers.
• Be specific: Your research questions should be specific and focused. Avoid broad questions that are difficult to answer. For example, instead of asking “What is the impact of climate change on the environment?” ask “What are the effects of rising sea levels on coastal ecosystems?”
• Use appropriate question types: Choose the appropriate question types based on the research design and objectives. For example, if you are conducting a qualitative study, you may want to use open-ended questions that allow participants to provide detailed responses.
• Consider the feasibility of your questions : Ensure that your research questions are feasible and can be answered with the resources available. Consider the data sources and methods of data collection when writing your questions.
• Seek feedback: Get feedback from your supervisor, colleagues, or peers to ensure that your research questions are relevant, appropriate, and meaningful.

Examples of Research Questions

Some Examples of Research Questions with Research Titles:

Research Title: The Impact of Social Media on Mental Health

• Research Question : What is the relationship between social media use and mental health, and how does this impact individuals’ well-being?

Research Title: Factors Influencing Academic Success in High School

• Research Question: What are the primary factors that influence academic success in high school, and how do they contribute to student achievement?

Research Title: The Effects of Exercise on Physical and Mental Health

• Research Question: What is the relationship between exercise and physical and mental health, and how can exercise be used as a tool to improve overall well-being?

Research Title: Understanding the Factors that Influence Consumer Purchasing Decisions

• Research Question : What are the key factors that influence consumer purchasing decisions, and how do these factors vary across different demographics and products?

Research Title: The Impact of Technology on Communication

• Research Question : How has technology impacted communication patterns, and what are the effects of these changes on interpersonal relationships and society as a whole?

Research Title: Investigating the Relationship between Parenting Styles and Child Development

• Research Question: What is the relationship between different parenting styles and child development outcomes, and how do these outcomes vary across different ages and developmental stages?

Research Title: The Effectiveness of Cognitive-Behavioral Therapy in Treating Anxiety Disorders

• Research Question: How effective is cognitive-behavioral therapy in treating anxiety disorders, and what factors contribute to its success or failure in different patients?

Research Title: The Impact of Climate Change on Biodiversity

• Research Question : How is climate change affecting global biodiversity, and what can be done to mitigate the negative effects on natural ecosystems?

Research Title: Exploring the Relationship between Cultural Diversity and Workplace Productivity

• Research Question : How does cultural diversity impact workplace productivity, and what strategies can be employed to maximize the benefits of a diverse workforce?

Research Title: The Role of Artificial Intelligence in Healthcare

• Research Question: How can artificial intelligence be leveraged to improve healthcare outcomes, and what are the potential risks and ethical concerns associated with its use?

Applications of Research Questions

Here are some of the key applications of research questions:

• Defining the scope of the study : Research questions help researchers to narrow down the scope of their study and identify the specific issues they want to investigate.
• Developing hypotheses: Research questions often lead to the development of hypotheses, which are testable predictions about the relationship between variables. Hypotheses provide a clear and focused direction for the study.
• Designing the study : Research questions guide the design of the study, including the selection of participants, the collection of data, and the analysis of results.
• Collecting data : Research questions inform the selection of appropriate methods for collecting data, such as surveys, interviews, or experiments.
• Analyzing data : Research questions guide the analysis of data, including the selection of appropriate statistical tests and the interpretation of results.
• Communicating results : Research questions help researchers to communicate the results of their study in a clear and concise manner. The research questions provide a framework for discussing the findings and drawing conclusions.

Characteristics of Research Questions

Characteristics of Research Questions are as follows:

• Clear and Specific : A good research question should be clear and specific. It should clearly state what the research is trying to investigate and what kind of data is required.
• Relevant : The research question should be relevant to the study and should address a current issue or problem in the field of research.
• Testable : The research question should be testable through empirical evidence. It should be possible to collect data to answer the research question.
• Concise : The research question should be concise and focused. It should not be too broad or too narrow.
• Feasible : The research question should be feasible to answer within the constraints of the research design, time frame, and available resources.
• Original : The research question should be original and should contribute to the existing knowledge in the field of research.
• Significant : The research question should have significance and importance to the field of research. It should have the potential to provide new insights and knowledge to the field.
• Ethical : The research question should be ethical and should not cause harm to any individuals or groups involved in the study.

Purpose of Research Questions

Research questions are the foundation of any research study as they guide the research process and provide a clear direction to the researcher. The purpose of research questions is to identify the scope and boundaries of the study, and to establish the goals and objectives of the research.

The main purpose of research questions is to help the researcher to focus on the specific area or problem that needs to be investigated. They enable the researcher to develop a research design, select the appropriate methods and tools for data collection and analysis, and to organize the results in a meaningful way.

Research questions also help to establish the relevance and significance of the study. They define the research problem, and determine the research methodology that will be used to address the problem. Research questions also help to determine the type of data that will be collected, and how it will be analyzed and interpreted.

Finally, research questions provide a framework for evaluating the results of the research. They help to establish the validity and reliability of the data, and provide a basis for drawing conclusions and making recommendations based on the findings of the study.

Advantages of Research Questions

There are several advantages of research questions in the research process, including:

• Focus : Research questions help to focus the research by providing a clear direction for the study. They define the specific area of investigation and provide a framework for the research design.
• Clarity : Research questions help to clarify the purpose and objectives of the study, which can make it easier for the researcher to communicate the research aims to others.
• Relevance : Research questions help to ensure that the study is relevant and meaningful. By asking relevant and important questions, the researcher can ensure that the study will contribute to the existing body of knowledge and address important issues.
• Consistency : Research questions help to ensure consistency in the research process by providing a framework for the development of the research design, data collection, and analysis.
• Measurability : Research questions help to ensure that the study is measurable by defining the specific variables and outcomes that will be measured.
• Replication : Research questions help to ensure that the study can be replicated by providing a clear and detailed description of the research aims, methods, and outcomes. This makes it easier for other researchers to replicate the study and verify the results.

Limitations of Research Questions

Limitations of Research Questions are as follows:

• Subjectivity : Research questions are often subjective and can be influenced by personal biases and perspectives of the researcher. This can lead to a limited understanding of the research problem and may affect the validity and reliability of the study.
• Inadequate scope : Research questions that are too narrow in scope may limit the breadth of the study, while questions that are too broad may make it difficult to focus on specific research objectives.
• Unanswerable questions : Some research questions may not be answerable due to the lack of available data or limitations in research methods. In such cases, the research question may need to be rephrased or modified to make it more answerable.
• Lack of clarity : Research questions that are poorly worded or ambiguous can lead to confusion and misinterpretation. This can result in incomplete or inaccurate data, which may compromise the validity of the study.
• Difficulty in measuring variables : Some research questions may involve variables that are difficult to measure or quantify, making it challenging to draw meaningful conclusions from the data.
• Lack of generalizability: Research questions that are too specific or limited in scope may not be generalizable to other contexts or populations. This can limit the applicability of the study’s findings and restrict its broader implications.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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• Research Questions: Definitions, Types + [Examples]

Research questions lie at the core of systematic investigation and this is because recording accurate research outcomes is tied to asking the right questions. Asking the right questions when conducting research can help you collect relevant and insightful information that ultimately influences your work, positively. 

The right research questions are typically easy to understand, straight to the point, and engaging. In this article, we will share tips on how to create the right research questions and also show you how to create and administer an online questionnaire with Formplus . 

What is a Research Question? 

A research question is a specific inquiry which the research seeks to provide a response to. It resides at the core of systematic investigation and it helps you to clearly define a path for the research process. 

A research question is usually the first step in any research project. Basically, it is the primary interrogation point of your research and it sets the pace for your work.  

Typically, a research question focuses on the research, determines the methodology and hypothesis, and guides all stages of inquiry, analysis, and reporting. With the right research questions, you will be able to gather useful information for your investigation. 

Types of Research Questions 

Research questions are broadly categorized into 2; that is, qualitative research questions and quantitative research questions. Qualitative and quantitative research questions can be used independently and co-dependently in line with the overall focus and objectives of your research. 

If your research aims at collecting quantifiable data , you will need to make use of quantitative research questions. On the other hand, qualitative questions help you to gather qualitative data bothering on the perceptions and observations of your research subjects. 

Qualitative Research Questions  

A qualitative research question is a type of systematic inquiry that aims at collecting qualitative data from research subjects. The aim of qualitative research questions is to gather non-statistical information pertaining to the experiences, observations, and perceptions of the research subjects in line with the objectives of the investigation. 

Types of Qualitative Research Questions  

• Ethnographic Research Questions

As the name clearly suggests, ethnographic research questions are inquiries presented in ethnographic research. Ethnographic research is a qualitative research approach that involves observing variables in their natural environments or habitats in order to arrive at objective research outcomes. 

These research questions help the researcher to gather insights into the habits, dispositions, perceptions, and behaviors of research subjects as they interact in specific environments. 

Ethnographic research questions can be used in education, business, medicine, and other fields of study, and they are very useful in contexts aimed at collecting in-depth and specific information that are peculiar to research variables. For instance, asking educational ethnographic research questions can help you understand how pedagogy affects classroom relations and behaviors. 

This type of research question can be administered physically through one-on-one interviews, naturalism (live and work), and participant observation methods. Alternatively, the researcher can ask ethnographic research questions via online surveys and questionnaires created with Formplus.  

Examples of Ethnographic Research Questions

• Why do you use this product?
• Have you noticed any side effects since you started using this drug?
• Does this product meet your needs?

• Case Studies

A case study is a qualitative research approach that involves carrying out a detailed investigation into a research subject(s) or variable(s). In the course of a case study, the researcher gathers a range of data from multiple sources of information via different data collection methods, and over a period of time. 

The aim of a case study is to analyze specific issues within definite contexts and arrive at detailed research subject analyses by asking the right questions. This research method can be explanatory, descriptive , or exploratory depending on the focus of your systematic investigation or research. 

An explanatory case study is one that seeks to gather information on the causes of real-life occurrences. This type of case study uses “how” and “why” questions in order to gather valid information about the causative factors of an event. 

Descriptive case studies are typically used in business researches, and they aim at analyzing the impact of changing market dynamics on businesses. On the other hand, exploratory case studies aim at providing answers to “who” and “what” questions using data collection tools like interviews and questionnaires. 

Some questions you can include in your case studies are: 

• Why did you choose our services?
• How has this policy affected your business output?
• What benefits have you recorded since you started using our product?

An interview is a qualitative research method that involves asking respondents a series of questions in order to gather information about a research subject. Interview questions can be close-ended or open-ended , and they prompt participants to provide valid information that is useful to the research. 

An interview may also be structured, semi-structured , or unstructured , and this further influences the types of questions they include. Structured interviews are made up of more close-ended questions because they aim at gathering quantitative data while unstructured interviews consist, primarily, of open-ended questions that allow the researcher to collect qualitative information from respondents. 

You can conduct interview research by scheduling a physical meeting with respondents, through a telephone conversation, and via digital media and video conferencing platforms like Skype and Zoom. Alternatively, you can use Formplus surveys and questionnaires for your interview. 

Examples of interview questions include: 

• What challenges did you face while using our product?
• What specific needs did our product meet?
• What would you like us to improve our service delivery?

Quantitative Research Questions

Quantitative research questions are questions that are used to gather quantifiable data from research subjects. These types of research questions are usually more specific and direct because they aim at collecting information that can be measured; that is, statistical information. 

Types of Quantitative Research Questions

• Descriptive Research Questions

Descriptive research questions are inquiries that researchers use to gather quantifiable data about the attributes and characteristics of research subjects. These types of questions primarily seek responses that reveal existing patterns in the nature of the research subjects. 

It is important to note that descriptive research questions are not concerned with the causative factors of the discovered attributes and characteristics. Rather, they focus on the “what”; that is, describing the subject of the research without paying attention to the reasons for its occurrence. 

Descriptive research questions are typically closed-ended because they aim at gathering definite and specific responses from research participants. Also, they can be used in customer experience surveys and market research to collect information about target markets and consumer behaviors. 

Descriptive Research Question Examples

• How often do you make use of our fitness application?
• How much would you be willing to pay for this product?

• Comparative Research Questions

A comparative research question is a type of quantitative research question that is used to gather information about the differences between two or more research subjects across different variables. These types of questions help the researcher to identify distinct features that mark one research subject from the other while highlighting existing similarities. 

Asking comparative research questions in market research surveys can provide insights on how your product or service matches its competitors. In addition, it can help you to identify the strengths and weaknesses of your product for a better competitive advantage.  

The 5 steps involved in the framing of comparative research questions are: 

• Choose your starting phrase
• Identify and name the dependent variable
• Identify the groups you are interested in
• Identify the appropriate adjoining text
• Write out the comparative research question

Comparative Research Question Samples 

• What are the differences between a landline telephone and a smartphone?
• What are the differences between work-from-home and on-site operations?

• Relationship-based Research Questions  

Just like the name suggests, a relationship-based research question is one that inquires into the nature of the association between two research subjects within the same demographic. These types of research questions help you to gather information pertaining to the nature of the association between two research variables. 

Relationship-based research questions are also known as correlational research questions because they seek to clearly identify the link between 2 variables. 

Read: Correlational Research Designs: Types, Examples & Methods

Examples of relationship-based research questions include: 

• What is the relationship between purchasing power and the business site?
• What is the relationship between the work environment and workforce turnover?

Examples of a Good Research Question

Since research questions lie at the core of any systematic investigations, it is important to know how to frame a good research question. The right research questions will help you to gather the most objective responses that are useful to your systematic investigation. 

A good research question is one that requires impartial responses and can be answered via existing sources of information. Also, a good research question seeks answers that actively contribute to a body of knowledge; hence, it is a question that is yet to be answered in your specific research context.

• Open-Ended Questions

 An open-ended question is a type of research question that does not restrict respondents to a set of premeditated answer options. In other words, it is a question that allows the respondent to freely express his or her perceptions and feelings towards the research subject. 

Examples of Open-ended Questions

• How do you deal with stress in the workplace?
• What is a typical day at work like for you?
• Close-ended Questions

A close-ended question is a type of survey question that restricts respondents to a set of predetermined answers such as multiple-choice questions . Close-ended questions typically require yes or no answers and are commonly used in quantitative research to gather numerical data from research participants. 

Examples of Close-ended Questions

• Did you enjoy this event?
• How likely are you to recommend our services?
• Very Likely
• Somewhat Likely
• Likert Scale Questions

A Likert scale question is a type of close-ended question that is structured as a 3-point, 5-point, or 7-point psychometric scale . This type of question is used to measure the survey respondent’s disposition towards multiple variables and it can be unipolar or bipolar in nature. 

Example of Likert Scale Questions

• How satisfied are you with our service delivery?
• Very dissatisfied
• Not satisfied
• Very satisfied
• Rating Scale Questions

A rating scale question is a type of close-ended question that seeks to associate a specific qualitative measure (rating) with the different variables in research. It is commonly used in customer experience surveys, market research surveys, employee reviews, and product evaluations. 

Example of Rating Questions

• How would you rate our service delivery?

  Examples of a Bad Research Question

Knowing what bad research questions are would help you avoid them in the course of your systematic investigation. These types of questions are usually unfocused and often result in research biases that can negatively impact the outcomes of your systematic investigation. 

• Loaded Questions

A loaded question is a question that subtly presupposes one or more unverified assumptions about the research subject or participant. This type of question typically boxes the respondent in a corner because it suggests implicit and explicit biases that prevent objective responses. 

Example of Loaded Questions

• Have you stopped smoking?
• Where did you hide the money?
• Negative Questions

A negative question is a type of question that is structured with an implicit or explicit negator. Negative questions can be misleading because they upturn the typical yes/no response order by requiring a negative answer for affirmation and an affirmative answer for negation. 

Examples of Negative Questions

• Would you mind dropping by my office later today?
• Didn’t you visit last week?
• Leading Questions  

A l eading question is a type of survey question that nudges the respondent towards an already-determined answer. It is highly suggestive in nature and typically consists of biases and unverified assumptions that point toward its premeditated responses. 

Examples of Leading Questions

• If you enjoyed this service, would you be willing to try out our other packages?
• Our product met your needs, didn’t it?

Read More: Leading Questions: Definition, Types, and Examples

How to Use Formplus as Online Research Questionnaire Tool  

With Formplus, you can create and administer your online research questionnaire easily. In the form builder, you can add different form fields to your questionnaire and edit these fields to reflect specific research questions for your systematic investigation. 

Here is a step-by-step guide on how to create an online research questionnaire with Formplus: 

• Sign in to your Formplus accoun t, then click on the “create new form” button in your dashboard to access the Form builder.

• In the form builder, add preferred form fields to your online research questionnaire by dragging and dropping them into the form. Add a title to your form in the title block. You can edit form fields by clicking on the “pencil” icon on the right corner of each form field.

• Save the form to access the customization section of the builder. Here, you can tweak the appearance of your online research questionnaire by adding background images, changing the form font, and adding your organization’s logo.

• Finally, copy your form link and share it with respondents. You can also use any of the multiple sharing options available.

Conclusion  

The success of your research starts with framing the right questions to help you collect the most valid and objective responses. Be sure to avoid bad research questions like loaded and negative questions that can be misleading and adversely affect your research data and outcomes. 

Your research questions should clearly reflect the aims and objectives of your systematic investigation while laying emphasis on specific contexts. To help you seamlessly gather responses for your research questions, you can create an online research questionnaire on Formplus.  

Connect to Formplus, Get Started Now - It's Free!

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• Writing Strong Research Questions | Criteria & Examples

Writing Strong Research Questions | Criteria & Examples

Published on 30 October 2022 by Shona McCombes . Revised on 12 December 2023.

A research question pinpoints exactly what you want to find out in your work. A good research question is essential to guide your research paper , dissertation , or thesis .

All research questions should be:

• Focused on a single problem or issue
• Researchable using primary and/or secondary sources
• Feasible to answer within the timeframe and practical constraints
• Specific enough to answer thoroughly
• Complex enough to develop the answer over the space of a paper or thesis
• Relevant to your field of study and/or society more broadly

Table of contents

How to write a research question, what makes a strong research question, research questions quiz, frequently asked questions.

You can follow these steps to develop a strong research question:

• Choose your topic
• Do some preliminary reading about the current state of the field
• Narrow your focus to a specific niche
• Identify the research problem that you will address

The way you frame your question depends on what your research aims to achieve. The table below shows some examples of how you might formulate questions for different purposes.

Using your research problem to develop your research question

Note that while most research questions can be answered with various types of research , the way you frame your question should help determine your choices.

Prevent plagiarism, run a free check.

Research questions anchor your whole project, so it’s important to spend some time refining them. The criteria below can help you evaluate the strength of your research question.

Focused and researchable

Feasible and specific, complex and arguable, relevant and original.

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis – a prediction that will be confirmed or disproved by your research.

As you cannot possibly read every source related to your topic, it’s important to evaluate sources to assess their relevance. Use preliminary evaluation to determine whether a source is worth examining in more depth.

This involves:

• Reading abstracts , prefaces, introductions , and conclusions
• Looking at the table of contents to determine the scope of the work
• Consulting the index for key terms or the names of important scholars

An essay isn’t just a loose collection of facts and ideas. Instead, it should be centered on an overarching argument (summarised in your thesis statement ) that every part of the essay relates to.

The way you structure your essay is crucial to presenting your argument coherently. A well-structured essay helps your reader follow the logic of your ideas and understand your overall point.

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

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McCombes, S. (2023, December 12). Writing Strong Research Questions | Criteria & Examples. Scribbr. Retrieved 27 May 2024, from https://www.scribbr.co.uk/the-research-process/research-question/

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Getting started

Constructing the question

Defining concepts

Question frameworks

This section explores the phases of constructing a robust, feasible research question. What is a research question ? See the FAQ below.

Adapted from McGowan, J., Sampson, M., Salzwedel, D. M., Cogo, E., Foerster, V., & Lefebvre, C. (2016). PRESS peer review of electronic search strategies: 2015 guideline statement.  Journal of clinical epidemiology ,  75 , 40-46.  https://doi.org/10.1016/j.jclinepi.2016.01.021

How to construct a research question

The FINER framework (Hulley, et al., 2013, pp.17-19) outlines some of the characteristics of a good research question. Review the FAQs below for more information. 

• Feasible: consider the requirements of your research against available resources. Do you have enough time, funding, participants, or technical expertise to carry out the investigation?
• Interesting:  is the question of interest or relevance to your discipline community or the world at large? Discuss with mentors, funding organisations and colleagues to determine whether the investigation is worth pursuing. 
• Novel: does the investigation add anything new to the literature? Research need not be entirely original, but can build on previous work by exploring a new angle or replicating the results of existing findings. 
• Ethical: Pursue early consultation with your ethics committee   if your study could cross ethical boundaries (e.g. putting participants at risk).
• Relevant: what will be the impact, or ultimate result, of your research? In what ways will it advance the discipline, contribute to guidelines or policy, or prompt further study?

Hulley, S. B., Cummings, S. R., Browner, W. S., Grady, D. G., & Newman, T. B. (2013).  Designing clinical research . Wolters Kluwer.

How to identify the searchable concepts in your research question

Once you have put your research question together, it is recommended that you perform a scoping search (see FAQ below) to get a sense of what already exists on your topic. To do this, it's important to identify the searchable concepts in your question. These are the parts of the question that will be translated into the actual search.

If our research question is:  

Does access to professional development opportunities improve morale in high school teachers?

The main concepts in this search are professional development , morale , and high school teachers , and you could start by searching just these terms in a general source like the Library's FiNDit.  Keeping the initial searches broad will help provide a sense of the breadth and depth of existing literature, or the absence of coverage. The terms "access", "opportunities" and "improve" are important parts of the question, but at this stage, they are not the searchable parts of the question. 

As you review the search results, you might notice synonyms that match your concepts. Note these terms down, as they will become useful as you perform more advanced searches. This table shows the initial concepts that were searched, and some synonyms that appeared in the results. 

How to structure your research question

Using a research question framework can help clarify and classify the concepts in your research question. There are many frameworks available, and which one you choose depends on the nature of your research. Frameworks are useful, but optional, as not all research aligns with the components. 

Popular frameworks include:

• PICO(T):   P opulation/Patient, I ntervention, C omparison, O utcome and sometimes also T imeframe
• SPICE: S etting,  P erspective; I ntervention/Interest, [ C omparison],  E valuation
• SPIDER: S ample,  P henomenon of I nterest,  D esign,  E valuation,  R esearch type

See our Evidence Based Practice guide for more research question structures and examples of how they can be used. 

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Research Aims, Objectives & Questions

The “Golden Thread” Explained Simply (+ Examples)

By: David Phair (PhD) and Alexandra Shaeffer (PhD) | June 2022

The research aims , objectives and research questions (collectively called the “golden thread”) are arguably the most important thing you need to get right when you’re crafting a research proposal , dissertation or thesis . We receive questions almost every day about this “holy trinity” of research and there’s certainly a lot of confusion out there, so we’ve crafted this post to help you navigate your way through the fog.

Overview: The Golden Thread

• What is the golden thread
• What are research aims ( examples )
• What are research objectives ( examples )
• What are research questions ( examples )
• The importance of alignment in the golden thread

What is the “golden thread”?  

The golden thread simply refers to the collective research aims , research objectives , and research questions for any given project (i.e., a dissertation, thesis, or research paper ). These three elements are bundled together because it’s extremely important that they align with each other, and that the entire research project aligns with them.

Importantly, the golden thread needs to weave its way through the entirety of any research project , from start to end. In other words, it needs to be very clearly defined right at the beginning of the project (the topic ideation and proposal stage) and it needs to inform almost every decision throughout the rest of the project. For example, your research design and methodology will be heavily influenced by the golden thread (we’ll explain this in more detail later), as well as your literature review.

The research aims, objectives and research questions (the golden thread) define the focus and scope ( the delimitations ) of your research project. In other words, they help ringfence your dissertation or thesis to a relatively narrow domain, so that you can “go deep” and really dig into a specific problem or opportunity. They also help keep you on track , as they act as a litmus test for relevance. In other words, if you’re ever unsure whether to include something in your document, simply ask yourself the question, “does this contribute toward my research aims, objectives or questions?”. If it doesn’t, chances are you can drop it.

Alright, enough of the fluffy, conceptual stuff. Let’s get down to business and look at what exactly the research aims, objectives and questions are and outline a few examples to bring these concepts to life.

Research Aims: What are they?

Simply put, the research aim(s) is a statement that reflects the broad overarching goal (s) of the research project. Research aims are fairly high-level (low resolution) as they outline the general direction of the research and what it’s trying to achieve .

Research Aims: Examples  

True to the name, research aims usually start with the wording “this research aims to…”, “this research seeks to…”, and so on. For example:

“This research aims to explore employee experiences of digital transformation in retail HR.”   “This study sets out to assess the interaction between student support and self-care on well-being in engineering graduate students”  

As you can see, these research aims provide a high-level description of what the study is about and what it seeks to achieve. They’re not hyper-specific or action-oriented, but they’re clear about what the study’s focus is and what is being investigated.

Need a helping hand?

Research Objectives: What are they?

The research objectives take the research aims and make them more practical and actionable . In other words, the research objectives showcase the steps that the researcher will take to achieve the research aims.

The research objectives need to be far more specific (higher resolution) and actionable than the research aims. In fact, it’s always a good idea to craft your research objectives using the “SMART” criteria. In other words, they should be specific, measurable, achievable, relevant and time-bound”.

Research Objectives: Examples  

Let’s look at two examples of research objectives. We’ll stick with the topic and research aims we mentioned previously.  

For the digital transformation topic:

To observe the retail HR employees throughout the digital transformation. To assess employee perceptions of digital transformation in retail HR. To identify the barriers and facilitators of digital transformation in retail HR.

And for the student wellness topic:

To determine whether student self-care predicts the well-being score of engineering graduate students. To determine whether student support predicts the well-being score of engineering students. To assess the interaction between student self-care and student support when predicting well-being in engineering graduate students.

  As you can see, these research objectives clearly align with the previously mentioned research aims and effectively translate the low-resolution aims into (comparatively) higher-resolution objectives and action points . They give the research project a clear focus and present something that resembles a research-based “to-do” list.

Research Questions: What are they?

Finally, we arrive at the all-important research questions. The research questions are, as the name suggests, the key questions that your study will seek to answer . Simply put, they are the core purpose of your dissertation, thesis, or research project. You’ll present them at the beginning of your document (either in the introduction chapter or literature review chapter) and you’ll answer them at the end of your document (typically in the discussion and conclusion chapters).  

The research questions will be the driving force throughout the research process. For example, in the literature review chapter, you’ll assess the relevance of any given resource based on whether it helps you move towards answering your research questions. Similarly, your methodology and research design will be heavily influenced by the nature of your research questions. For instance, research questions that are exploratory in nature will usually make use of a qualitative approach, whereas questions that relate to measurement or relationship testing will make use of a quantitative approach.  

Let’s look at some examples of research questions to make this more tangible.

Research Questions: Examples  

Again, we’ll stick with the research aims and research objectives we mentioned previously.  

For the digital transformation topic (which would be qualitative in nature):

How do employees perceive digital transformation in retail HR? What are the barriers and facilitators of digital transformation in retail HR?  

And for the student wellness topic (which would be quantitative in nature):

Does student self-care predict the well-being scores of engineering graduate students? Does student support predict the well-being scores of engineering students? Do student self-care and student support interact when predicting well-being in engineering graduate students?  

You’ll probably notice that there’s quite a formulaic approach to this. In other words, the research questions are basically the research objectives “converted” into question format. While that is true most of the time, it’s not always the case. For example, the first research objective for the digital transformation topic was more or less a step on the path toward the other objectives, and as such, it didn’t warrant its own research question.  

So, don’t rush your research questions and sloppily reword your objectives as questions. Carefully think about what exactly you’re trying to achieve (i.e. your research aim) and the objectives you’ve set out, then craft a set of well-aligned research questions . Also, keep in mind that this can be a somewhat iterative process , where you go back and tweak research objectives and aims to ensure tight alignment throughout the golden thread.

The importance of strong alignment 

Alignment is the keyword here and we have to stress its importance . Simply put, you need to make sure that there is a very tight alignment between all three pieces of the golden thread. If your research aims and research questions don’t align, for example, your project will be pulling in different directions and will lack focus . This is a common problem students face and can cause many headaches (and tears), so be warned.

Take the time to carefully craft your research aims, objectives and research questions before you run off down the research path. Ideally, get your research supervisor/advisor to review and comment on your golden thread before you invest significant time into your project, and certainly before you start collecting data .  

Recap: The golden thread

In this post, we unpacked the golden thread of research, consisting of the research aims , research objectives and research questions . You can jump back to any section using the links below.

As always, feel free to leave a comment below – we always love to hear from you. Also, if you’re interested in 1-on-1 support, take a look at our private coaching service here.

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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39 Comments

Thank you very much for your great effort put. As an Undergraduate taking Demographic Research & Methodology, I’ve been trying so hard to understand clearly what is a Research Question, Research Aim and the Objectives in a research and the relationship between them etc. But as for now I’m thankful that you’ve solved my problem.

Well appreciated. This has helped me greatly in doing my dissertation.

An so delighted with this wonderful information thank you a lot.

so impressive i have benefited a lot looking forward to learn more on research.

I am very happy to have carefully gone through this well researched article.

Infact,I used to be phobia about anything research, because of my poor understanding of the concepts.

Now,I get to know that my research question is the same as my research objective(s) rephrased in question format.

I please I would need a follow up on the subject,as I intends to join the team of researchers. Thanks once again.

Thanks so much. This was really helpful.

I know you pepole have tried to break things into more understandable and easy format. And God bless you. Keep it up

i found this document so useful towards my study in research methods. thanks so much.

This is my 2nd read topic in your course and I should commend the simplified explanations of each part. I’m beginning to understand and absorb the use of each part of a dissertation/thesis. I’ll keep on reading your free course and might be able to avail the training course! Kudos!

Thank you! Better put that my lecture and helped to easily understand the basics which I feel often get brushed over when beginning dissertation work.

This is quite helpful. I like how the Golden thread has been explained and the needed alignment.

This is quite helpful. I really appreciate!

The article made it simple for researcher students to differentiate between three concepts.

Very innovative and educational in approach to conducting research.

I am very impressed with all these terminology, as I am a fresh student for post graduate, I am highly guided and I promised to continue making consultation when the need arise. Thanks a lot.

A very helpful piece. thanks, I really appreciate it .

Very well explained, and it might be helpful to many people like me.

Wish i had found this (and other) resource(s) at the beginning of my PhD journey… not in my writing up year… 😩 Anyways… just a quick question as i’m having some issues ordering my “golden thread”…. does it matter in what order you mention them? i.e., is it always first aims, then objectives, and finally the questions? or can you first mention the research questions and then the aims and objectives?

Thank you for a very simple explanation that builds upon the concepts in a very logical manner. Just prior to this, I read the research hypothesis article, which was equally very good. This met my primary objective.

My secondary objective was to understand the difference between research questions and research hypothesis, and in which context to use which one. However, I am still not clear on this. Can you kindly please guide?

In research, a research question is a clear and specific inquiry that the researcher wants to answer, while a research hypothesis is a tentative statement or prediction about the relationship between variables or the expected outcome of the study. Research questions are broader and guide the overall study, while hypotheses are specific and testable statements used in quantitative research. Research questions identify the problem, while hypotheses provide a focus for testing in the study.

Exactly what I need in this research journey, I look forward to more of your coaching videos.

This helped a lot. Thanks so much for the effort put into explaining it.

What data source in writing dissertation/Thesis requires?

What is data source covers when writing dessertation/thesis

This is quite useful thanks

I’m excited and thankful. I got so much value which will help me progress in my thesis.

where are the locations of the reserch statement, research objective and research question in a reserach paper? Can you write an ouline that defines their places in the researh paper?

Very helpful and important tips on Aims, Objectives and Questions.

Thank you so much for making research aim, research objectives and research question so clear. This will be helpful to me as i continue with my thesis.

Thanks much for this content. I learned a lot. And I am inspired to learn more. I am still struggling with my preparation for dissertation outline/proposal. But I consistently follow contents and tutorials and the new FB of GRAD Coach. Hope to really become confident in writing my dissertation and successfully defend it.

As a researcher and lecturer, I find splitting research goals into research aims, objectives, and questions is unnecessarily bureaucratic and confusing for students. For most biomedical research projects, including ‘real research’, 1-3 research questions will suffice (numbers may differ by discipline).

Awesome! Very important resources and presented in an informative way to easily understand the golden thread. Indeed, thank you so much.

Well explained

The blog article on research aims, objectives, and questions by Grad Coach is a clear and insightful guide that aligns with my experiences in academic research. The article effectively breaks down the often complex concepts of research aims and objectives, providing a straightforward and accessible explanation. Drawing from my own research endeavors, I appreciate the practical tips offered, such as the need for specificity and clarity when formulating research questions. The article serves as a valuable resource for students and researchers, offering a concise roadmap for crafting well-defined research goals and objectives. Whether you’re a novice or an experienced researcher, this article provides practical insights that contribute to the foundational aspects of a successful research endeavor.

A great thanks for you. it is really amazing explanation. I grasp a lot and one step up to research knowledge.

I really found these tips helpful. Thank you very much Grad Coach.

I found this article helpful. Thanks for sharing this.

thank you so much, the explanation and examples are really helpful

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Research Questions: Definition, Types, and How to Write One

by  Antony W

March 10, 2023

If you’re looking for the complete guide to research questions, this article is for you. In this in-depth post, you’ll learn:

• 1 The right way to develop research questions for your studies
• 2 What research questions are
• 3 The elements of a good research question

Plus, we’ll provide some example of research questions in the last section of this guide to make everything clear.

Keep in mind that coming up with relevant research questions is the first step to writing a killer thesis, a dissertation, or research paper .

The question you come up with should not only provide a path for the research and writing process, but also help you to about being generic and focus on an arguable, specific concept instead.

What are Research Questions?

A research question is the main focus of a research project. By definition, this is the question around which you’ll center your research writing.

Good research question should be:

• 1 Clear and easy to understand without the need for additional explanation
• 2 Relevant to your field of study
• 3 Arguable and open for debate, not acceptable as fast
• 4 Focused enough so you can answer it thoroughly and concisely in fewest words possible
• 5 Feasible enough to answer with practical constraint and timeframe
• 6 Complex that it requires synthesizing, analysis of ideas, and  sources and citation   before arrive to an answer 

A research question may be around an issue that you’re either curious or passionate about. In some cases, your instructor may give you a topic for your research project.

Either way, you’ll have to develop relevant research questions and pick the most relevant one for the project.

Types of Research Questions 

There are two main type of research questions. These are qualitative and quantitative research questions. Each of the type has other subtypes, and we discuss them below:

Qualitative Research Questions

This type of research question focuses on exploring meaning and experience.

It focuses on a larger group and seeks to understand a concept or experiment. It's open ended in structure as it focuses more on the experiences of more than one person.

Formulate questions from data collected from case studies, focus groups, and surveys.

Type of Qualitative Research Questions 

There are three types of qualitative research questions and they are as follows:

Exploratory Questions 

The type of question you ask because you want to understand a topic.

These kind of questions don’t require a preconceived notions or bias. You ask because you want to understand a topic.

Examples:  

Interpretative Questions 

We come up with these kind of questions because we want to learn and understand how a group of people view and interpret shared experiences.

Plus, the question focuses on how they attribute those experiences to different phenomena in life.

When you ask this kind of question, you’re mainly interested in understanding the feedback on a group’s behavior.

Predictive Questions

 Predictive questions are the kind you ask if you’re concerned about the future outcome of an event or an action.

As a researcher, you’ll use the past information to predict reaction to an event.

Quantitative Research Questions 

Here, researchers use empirical evidence and measurable data to give an explanation for an occurrence.

This one is common in historical, statistical, marketing and psychical research studies.

Often used to confirm or disapprove a hypothesis through comparisons, descriptions, and relationships. 

Types of Quantitative Research Questions 

Relationship-based questions .

Relationship based questions are the ones you ask if you want to know the effect of two or more variables on one of more groups.

From a statistics viewpoint, relationship-based questions fall in the experimental research design where we measure the cause and effect between two or more variables.

It’s different in dissertation, especially at the undergraduate and master’s level, as the questions are often based on quasi-experimental and relationship-based research design. In this case, it’s impossible to account for casual relationship between variables. There are only trends and associations. 

We start relationship-based research questions with the phrase “what is the relationship?” followed by the terms “between or amongst”. Then we list an independent and a dependent variable.

Descriptive Questions

If you want to know why, how, when, or where something occurred, then you should use descriptive questions.

This is where you use question phrases such as “what proportion?”, “how often?”, “how much?”, and “what percentage?” to quantify the variable under examination.

You’ll have to use data and stats to describe an event, a group of people or things, or a phenomenon. 

Comparative Questions 

These are the types of questions to ask when you want to compare one occurrence or group with another.

Your goal is to examine the difference between groups on one or more variables. This type of research question will start with the phrase “What’s the difference in?” followed by the dependent variable.

More often than not, a comparative research question uses a single dependent variable when comparing concepts or groups, but it’s also common to come across some complex questions in which case the dependent variable consists of two or more items. 

Example: 

How to Develop Write Research Questions 

Now that you know the different types of research questions, let’s see how you can come up with a best research question for your study.

Step #1: Identify and Start with a Broad Topic 

We recommend you start with a broad topic because it gives you the opportunity to explore plenty of avenues that you can use to come up with as many research questions as possible.

By going broad, it becomes easier to find a topic, develop it into subtopics, and then come up with potential questions or your research project. At this stage, you should pay more attention to brainstorming and mapping your concept while organizing your thoughts at the same time. 

Don’t choose a broad topic based on its popularity. Instead, make sure the area of study is something you are passionate about and genuinely interested in examining. At the end of the day, you don’t want to focus on a topic that will demotivate your level of research when you’re even barely halfway the job.

Step #2: Do In-depth Preliminary Research for Your Topic 

Start doing preliminary research on the broad topic that you chose in step 1.

Here, your goal is to discover issues that scholars and researchers discuss so you’re up to date on the topic.

Also, this is the stage where you identify gaps and limits on the current knowledge of the topic. Often, these gaps make the best focus area for research questions.

Step #3: Narrow Down the Topic, Then Pick Research Questions 

You’ve gathered a lot of information in step 2.

Now it’s time to narrow down the topic to a more specific area of the study. While you have many options here, we recommend that it’s best to focus on the existing gaps that you identified in the previous step.

Here, you’re using the gap spotting approach first developed by Alvesson and Sandberg in 2011 to come up with research questions that touch deeply on the areas of study that researchers have overlooked.

You can use your personal experiences to develop a research question. According to Lipowski, a researcher can identify problematic areas of their practice and come up with questions to address.

Alvesson even provides a problematization technique, which mainly allows you to challenge and scrutinize a theoretical position, makes it easy for you to come up with research questions that can easily challenge your knowledge and view of the area of study.

Step #4: Determine the Relevance of Your Research Question 

You have a number of research questions at this stage already, but not all of them are sound to begin with.

So how do you know you have a good research question? You do that by using the FINER criteria developed by Hulley Et Al in 2007.

In other words, your research questions should be:

• Feasible : Do you really have the ability to investigate the topic and come up with realistic results? What contingency plans do you have in case your research on the question flops?
• Interesting : Pick the research question that’s not only easy to investigate but also interesting for you and the community to study.
• Novel : If the research question you’ve picked can unveil new insights to the field of study, then you should give it the utmost priority.
• Ethical : Can the review board and authorities approve your research question? It means that being ethical with your question is an important consideration in determining whether it’s a good research question to pursue.
• Relevant : If the topic is relevant to the scientific community, your area of study, and the people involved, then it’s a good one. It even helps if the question aligns with the public’s interest. 

Step #5: Construct Your Research Question 

The last step in developing a research question is to use the right framework to structure the question properly.

While there are many research question frameworks that you can use, the PICOT and PEO are the most commonly used. 

Using the PICOT Framework

Using the PEO Framework

About the author 

Antony W is a professional writer and coach at Help for Assessment. He spends countless hours every day researching and writing great content filled with expert advice on how to write engaging essays, research papers, and assignments.

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How to Write a Research Question: Types & Examples

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A research question is the main query that researchers seek to answer in their study. It serves as the basis for a scholarly project such as research paper, thesis or dissertation. A good research question should be clear, relevant and specific enough to guide the research process. It should also be open-ended, meaning that it allows for multiple possible answers or interpretations.

If you have located your general subject and main sources but still aren’t quite sure about the exact research questions for your paper, this guide will help you out. First, we will explore the concept of it together, so you could answer it in your work. Then some simple steps on composing your inquiry will be suggested. In the end, we will draw your attention to some specific details which can make your work good or bad. Sometimes it’s just easier to delegate all challenging tasks to a reliable research paper service . StudyCrumb is a trustable network of qualified writers ready to efficiently solve students’ challenges.

What Is a Good Research Question: Full Definition

Good research questions provide a concise definition of a problem. As a scholar, your main goal at the beginning is to select the main focus. It should be narrow enough so you could examine it within your deadline. Your work should be focused on something specific. Otherwise, it will require too much work and might not produce clear answers. At the same time your answer should be arguable and supported by data you’ve collected. Take a look at this example:

How to Write a Research Question: Step-By-Step Guide

In this section we will examine the process of developing a research question. We will guide you through it, step by step. Keep in mind that your subject should be important for your audience. So it requires some preliminary study and brainstorming. Let’s take a closer look at the main steps.

Step 1. Choose a Broad Topic for Your Research Paper Question

First, you need to decide on your general direction. When trying to identify your research paper questions, it is better to choose an area you are really interested in. You should be able to obtain enough data to write something about this topic. Therefore, do not choose something out of your reach. At the same time, your broad topic should not be too simple. Research paper questions that can be answered without any study would hardly make any sense for your project.

Step 2. Do Preliminary Reading Before Starting Your Research Question

Next, it is time we explore the context of the selected topic. You wouldn’t want to choose research questions that have already been examined and answered in detail. On the other hand, choosing a topic that is a complete ‘terra incognita’ might be a bridge too far for your project. Browse through available sources that are related to this topic. You should try and find out what has been discovered about it before. Do you see a gap that you can fill with your study? You can proceed with developing your exact inquiry! Have no time for in-depth topic exploration? Leave this task to professionals. Entrust your “ write my research paper ” order to StudyCrumb and get a top-notch work.

Step 3. Consider an Audience for Your Research Question

It is good to know your reader well to be able to convey your ideas and results to them in the best possible way. Before writing research questions for your projects, you might need to perform a brief analysis of your audience. That's how you'll be able to understand what is interesting for them and what is not. This will allow you to make better decisions when narrowing your broad topic down. Select a topic that is interesting for your reader! This would contribute much to the success for writing a research paper .

Step 4. Start Asking a Good Research Question

After you have considered your options, go ahead and compose the primary subject of your paper. What makes a good research question? It should highlight some problematic and relevant aspects of the general topic. So, after it is answered, you should have obtained some new valuable knowledge about the subject.  Typically scholars start narrowing down their general topic by asking ‘how’, ‘why’ or ‘what’s next’ questions. This approach might help you come up with a great idea quickly.

Step 5. Evaluate Your Research Question

Finally, after you have composed a research paper question, you should take a second look at it and see if it is good enough for your paper. It would be useful to analyze it from the following sides:

• Is it clear for your audience?
• Is it complex enough to require significant study?
• Is it focused on a certain aspect of your general topic?

You might use the help of your peers or your friends at this step. You can also show it to your tutor and ask for their opinion.

Types of Research Questions: Which to Choose

A number of research questions types are available for use in a paper. They are divided into two main groups:

Qualitative questions:

• Explanatory
• Ethnographic

Quantitative questions:

• Descriptive
• Comparative
• Relationship based.

Selecting a certain type would impact the course of your study. We suggest you think about it carefully. Below you can find a few words about each type. Also, you can seek proficient help from academic experts. Buy a research paper from real pros and forget about stress once and for all.

Qualitative Research Questions: Definition With Example

When doing qualitative research, you are expected to aim to understand the different aspects and qualities of your target problem. Therefore, your thesis should focus on analyzing people’s experience, ideas and reflections rather than on obtaining some statistical data and calculating trends. Thus, this inquiry typically requires observing people’s behavior, interacting with them and learning how they interpret your target problem.  Let’s illustrate this with an example:

What Is Contextual Research Questions

Contextual research revolves around examining your subject in its natural, everyday environment. It may be watching animals living in their usual habitats or people doing their normal activities in their familiar surroundings (at home, at school or at office). This academic approach helps to understand the role of the context. You'll be able to better explain connections between your problem, its environment and outcomes. This type of inquiry ought to be narrow enough. You shouldn’t have to examine each and every aspect of the selected problem in your paper. Consider this example:

Definition and Sample of Evaluative Research Questions

Evaluative research is performed in order to carefully assess the qualities of a selected object, individual, group, system or concept. It typically serves the purpose of collecting evidence that supports or contradicts solutions for a problem. This type of inquiry should focus on how useful a certain quality is for solving the problem.  To conduct such study, you need to examine selected qualities in detail. Then, you should assume whether they match necessary criteria. It might include some quantitative methods such as collecting statistics. Although, the most important part is analyzing the qualities. If you need some examples, here’s one for you:

Explanatory Research Questions: Definition With Example

Your paper can be dedicated to explaining a certain phenomenon, finding its reasons and important relationships between it and other important things. Your explanatory research question should aim to highlight issues, uncertainties and problematic aspects of your subject. So, your study should bring clarity about these qualities. It should show how and why they have developed this way. An explanation may include showing causes and effects of issues in question, comparing the selected phenomenon to other similar types and showing whether the selected qualities match some predefined criteria. If you need some examples, check this one:

Generative Research Questions

This type of research is conducted in order to better understand the subject. With its help, you can find some new solutions or opportunities for improvement. Therefore, its main purpose is to develop a theoretical basis for further actions. You need to compose your generative research questions in a way that facilitates obtaining new ideas. It would help to begin with asking ‘why’, ‘what is the relationship between the subject and the problems X, Y, and Z’, ‘what can be improved here’, ‘how we can prevent it’ and so on. Need relevant examples? We’ve got one for you:

Ethnographic Research Question

Ethnography research is focused on a particular group of people. The aim is to study their behavior, typical reactions to certain events or information, needs, preferences or habits. Important parameters of this group which are most relevant to your general subject are taken into consideration. These are age, sex, language, religion, ethnicity, social status and so on. Main method in this case is first-hand observation of people from the selected group during an extended period of time. If you need strong examples, here’s one:

Quantitative Research Questions: Full Definition With Examples

Quantitative research deals with data – first of all, it is numeric data. It involves mathematical calculations and statistical analysis. It helps to obtain knowledge which is mostly expressed in numbers, graphs and tables. Unlike the qualitative type, the purpose of quantitative research is finding patterns, calculating probabilities, testing causal relationships and making predictions. It is focused on testing theories and hypotheses. (We have the whole blog on what is a hypothesis .) It is mostly used in natural and social sciences. These are: chemistry, biology, psychology, economics, sociology, marketing, etc. Here are a couple of examples:

Descriptive Research Questions: Definition With Example

This is probably the most widespread type of quantitative research question. Such inquiries seek to explain when, where, why, or how something occurred. They describe it accurately and systematically. These inquiries typically start with ‘what’. You are expected to use various methods to investigate one or more variables and determine their dependencies. Note, however, that you cannot control or manipulate any of these variables. You can only observe and measure them. Looking for some interesting examples? Here is one:

Definition of Comparative Research Questions

Comparative research question is used to highlight different variables and provide numerical evidence. This type is based on comparing one object, parameter or issue with another one of a similar kind. It can help to discover the differences between two or more groups by examining their outcome variables.  Take a look at these two examples:

Relationship Research Questions

We conduct this type of research when we need to make it clear whether one parameter of a selected object causes another one. A relationship based quantitative research question should help us to explore and define trends and interactions between two or more variables. Are these two things mutually dependent? What kind of dependence is it? How has it developed? And what are possible outcomes of this connection? Here is an example of relationship-based quantitative research questions:

Research Questions Examples: Free

This section contains a number of helpful examples of research questions. Feel free to use them as inspiration to create your own questions and conduct productive study. Let’s start with two simple ones:

Are you interested in well written and inspiring questions? Do you want to learn what to avoid in your study? Just stay with us – there will be more of them below.

Examples of Good and Bad Research Questions

Everyone is interested in getting the best possible appraisal for their study. Choosing a topic which doesn't suit your specific situation may be discouraging. Thus, the quality of your paper might get affected by a poor choice. We have put together some good and bad examples so that you could avoid such mistakes.

Good Research Questions Examples

It is important to include clear terms into your questions. Otherwise, it would be difficult for you to plan your investigation properly. Also, they must be focused on a certain subject, not multiple ones. And finally, it should be possible to answer them. Let’s review several good examples:

Examples of Bad Research Questions

It is difficult to evaluate qualities of objects, individuals or groups if your purpose is not clear. This is why you shouldn’t create unclear research questions or try to focus on many problems at once. Some preliminary study might help to understand what you should focus on. Here are several bad examples:

In case you may need some information about the discussion section of a research paper example , find it in our blog.

Final Thoughts on Research Questions

In this article we have made a detailed review of the most popular types of research questions. We described peculiarities. We also provided some tips on conducting various kinds of study. Besides, a number of useful examples have been given for each category of questions.

Feel free to check out essay writing services. We have experienced writers who can help you compose your paper in time. They will absolutely ensure the high quality of your text.

Frequently Asked Questions About Research Questions

1. what is an example of a weak research question.

Here is an example of the weakest research question: 

An answer would be simply making a list of species that inhabit the country. This subject does not require any actual study to be conducted. There is nothing to calculate or analyze here.

2. What is the most effective type of research question?

Most effective type of research question is the one that doesn't have a single correct answer. However, you should also pay close attention to your audience. If you need to create a strong effect, better choose a topic which is relevant for them.

3. What is a good nursing research question?

If you need an idea for a nursing research question, here are a few helpful examples you could use as a reference:

4. What are some sociological research questions?

Sociological questions are the ones that examine the social patterns or a meaning of a social phenomenon. They could be qualitative or quantitative. They should target groups of people with certain parameters, such as age or income level. Keep in mind that type of study usually requires collecting numerous data about your target groups.

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Research Questions – Definition, Examples & Tips

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At the heart of every research endeavor lies a fundamental driving force: the research question. It not only defines the scope and direction of inquiry, it also inspires people to seek knowledge. In the complex journey of the research process , key questions act as guiding stars. In this article, we’ll cover everything you need to know about research questions and provide various examples.

Inhaltsverzeichnis

• 1 Research Questions in a nutshell
• 2 Definition: Research Question
• 3 Characteristics of a Research Question
• 4 How to Create a Research Question
• 5 Types of Research Questions
• 6 Example Questions
• 7 Research Frameworks
• 8 Dos & Donts
• 9 Sub-Questions
• 10 Tips for a Good Research Question

Research Questions in a nutshell

A research question is a clear and concise inquiry around which you center a research study. It helps to define the scope of the study and provides a basis for gathering and analyzing a variety of data.

Definition: Research Question

A research question is a concise inquiry that guides the direction of a research study or investigation. It articulates the specific type of subject that the researcher aims to explore, often framed in a way that suggests investigation or analysis . It serves as a fundamental element in the research process, guiding the selection of appropriate methodologies, the collection of evidence, and the interpretation of results. In essence, a research question serves as the starting point for scholarly inquiry, driving the pursuit of knowledge and understanding within a particular field.

Characteristics of a Research Question

The characteristics of a research question play a pivotal role in shaping the direction and success of a research study. The inquiry not only guides the research process, but also ensures its effectiveness in addressing key issues within the field of study.

It should serve three key purposes:

• Interesting : It should stimulate curiosity and appeal from both the researcher and the audience, motivating researchers to explore the topic further. It also increases the likelihood of commitment from both sides, fostering a deeper understanding and appreciation of the research topic.
• Well-defined : A well-defined research question provides clarity and focus, ensuring that the research study addresses a specific aspect of the topic. This helps avoid ambiguity and ensures that the research process is coherent and purposeful.
• Tractable : By ensuring tractability, researchers can conduct the study effectively, maximizing the likelihood of achieving meaningful results. Tractable research questions are also more likely to lead to successful completion of the study, avoiding setbacks due to unattainable goals.

Furthermore, a good research topic should answer three questions:

• Why is this question significant within the context of the field?
• How does your research build upon and enhance the current body of literature?
• What tangible outcomes can be expected if the question is thoroughly investigated and answered?

By answering these questions and ensuring that your research question is interesting, well-defined, and tractable, you can establish the relevance and significance of your research within the field.

How to Create a Research Question

Formulating an impactful research inquiry can be quite difficult. Nevertheless, by employing a comprehensive multistep approach, this task may turn out to be more manageable for you.

1. Identify a broad topic

Begin by identifying a broad area of interest within your field of study and generate questions based on curiosity and knowledge gaps. This could be based on current trends in the field or gaps in existing literature.

2. Conduct background research

Explore existing literature related to your topic to understand what has already been studied and what questions remain unanswered. This will help you identify potential gaps or areas for further exploration, and narrow your focus . Consider the characteristics mentioned earlier.

3. Consider your audience

Reflect on who your specific target audience is — whether it’s academic researchers or the general public. Tailor your research question to be relevant and accessible for your primary audience, considering their interests and level of expertise.

4. Narrow down the focus

Gradually narrow down your topic to a specific research question or a couple of questions based on the gaps found in existing research.

5. Define your questions

Now that you have found your niche, consider all the steps above and start asking open-ended “how” and “why” questions about your topic. A framework such as SMART Goals , PICOT , or FINER , which we will elaborate on in a later section more thoroughly, might be helpful when generating your key questions.

6. Evaluate your question

Now that you have written down your questions, evaluate them to establish if they are effective or if they need further refinement . For this step, look at the characteristics above again, and determine if they answer all the questions and check all the boxes. Is the research question well-defined and interesting to you and your audience? Think about the possible paths your research could take, which is  the question, that effectively captures the essence of your research and aligns with your overarching objectives? It shouldn’t be too broad and also not easily answerable with quick searches.

Types of Research Questions

Research questions can be classified into various types, depending on the types of studies to be undertaken. Below, we will discuss each one of them, and their specifics.

Qualitative

Quantitative, mixed-methods.

A qualitative question is concerned with comprehending a phenomenon , and focuses on finding , explaining , and exploring . Qualitative research is primarily used in social sciences and uses open-ended research questions, and seeks to uncover rich and descriptive data .

The most common types of qualitative questions include:

• Exploratory questions , which seek to understand without influencing the results. The objective is to investigate an issue that has limited existing knowledge, and is typically conducted at the preliminary stages of a research process without research bias .
• Predictive questions , which seek to understand the intent or future outcome around a topic. The objective here it to use past information to predict reactions to hypothetical events.
• Interpretive questions , which aim to understand people’s behavior in a natural setting. The objective is to gather feedback on a group’s behavior without affecting the outcome.

A quantitative question is used to prove or disprove a researcher’s hypothesis through descriptions , comparisons , and relationships . It typically involves the population to be studied, identifying independent vs. dependent variables , and the research design. Quantitative questions are created to express the causality between variables and whether this relationship is relevant.

The most common types of quantitative questions include:

• Descriptive questions , which aim to explain when, where, why, or how something occurred, are the most basic type of quantitative research. They use numerical data and statistical analysis to describe a phenomenon, and their objective is to provide a clear and detailed description of a particular phenomenon.
• Comparative questions are used to compare groups or dependent variables to identify similarities, differences, or relationships between them. Their objective is to uncover the “how” or “why” of a topic by examining variations or relationships.
• Relationship-based questions , such as causal and correlational questions, try to answer whether one variable influences another. These types of questions are used in experimental or in quasi-experimental design studies, to focus on understanding how they are connected or influence each other.

Mixed methods research involves the integration of both qualitative and quantitative approaches within a single study, and for this reason, it’s a popular research method for researching nowadays. Mixed methods research combines both quantitative and qualitative data to explore a research question more thoroughly, and is often used in the behavioral, health, and social sciences.

Mixed methods research questions can help you achieve a more comprehensive picture than a standalone quantitative or qualitative question. However, they can be difficult to implement and come with the same risk of research bias as standalone studies.

Example Questions

In this section, we will provide you with numerous research question examples for each type of quantitative, qualitative, and mixed-method question.

Exploratory Question

• What are the factors influencing employee satisfaction in a new startup company?

Predictive Question

• How much can high schoolers’ GPA and grades predict their academic college performance?

Interpretive Question

• How do cultural beliefs shape peoples view of mental health and help-seeking behaviors?

Descriptive Question

• What are the demographics of students enrolled in online courses at a university?

Comparative Question

• How does lecture-style teaching compare to interactive learning in math comprehension?

Relationship-based Question

• What’s the correlation between social media use and young adults’ feelings of loneliness?

Mixed-Methods Questions

• How does the implementation of a new online learning platform (quantitative) impact student engagement and satisfaction (qualitative) in undergraduate courses?
• How do the perceptions of teachers (qualitative) and the academic performance of students (quantitative) vary across different teaching methodologies?
• How do cultural beliefs and values (qualitative) influence consumer purchasing behavior (quantitative) in the cosmetics industry?

Sample Format

Crafting effective research inquiries is most important for guiding your study and achieving your research goals. Below, you’ll find various question formats, designed to inspire and guide your inquiry. Refer to the accompanying picture for a comprehensive range of question formats suitable for a variety of research purposes and contexts.

Research Frameworks

There are three types of frameworks you can use as foundational elements to ensure that your research question is succinct.

• The  PICO framework, which stands for P opulation, I ntervention, C omparison, and O utcome, is commonly used in healthcare research to structure clinical questions. It helps researchers define the key elements of a research question, including the population of interest, the intervention, or exposure being studied, the comparison group, and the outcome of interest.
• The  SMART framework, which stands for S pecific, M easurable, A chievable, R elevant, and T ime-bound, is widely used and helps ensure that the question is clear, quantifiable, feasible, aligned with the research objectives, and has a defined time frame for completion.
• The  FINER framework, which stands for F easible, I nteresting, N ovel, E thical, and R elevant, provides criteria for evaluating the quality and appropriateness of research questions. It ensures that the question is feasible to address, interesting and relevant to the field, innovative, ethically sound, and directly related tot the research objectives.

Below, we have illustrated each framework with appropriate questions you can ask yourself in order to find out if your research question can be improved.

Dos & Donts

Below you’ll find an illustration depicting what you should do and what you should not do when it comes to research questions.

Below you’ll find a table with numerous good and bad examples of research questions together with explanations for each of them.

Sub-Questions

Sub-questions can be essential in research for clarifying complex topics and providing depth to the analysis when your main research question can’t be answered all at once. They are optional and should be used only if necessary to address the main question. If the main question is straightforward, sub-questions can be omitted. Let’s say that the main research question is “How has the transition to online schooling during COVID-19 pandemic affected sophomore and junior students’ academic performance and engagement?”. Some potential sub-questions could be:

• What impact has online schooling had on grades and test scores during the pandemic?
• How has student participation in classes changed with online schooling?
• How effectively have teachers adapted their instruction methods for online teaching?

Tips for a Good Research Question

Crafting a good research inquiry is a critical step in conducting a successful research project, as we have learned. The selection of successful research topics is crucial for guiding the direction of a study and ensuring that the research addresses relevant issues within the field. Here are some general tips to help you develop a strong research question.

• Be specific and clear : A good question should allow for focused study and straightforward answers. Avoid being broad or vague since this could lead to a sprawling investigation.
• Make it measurable : Your research question should be framed in a way that allows for gathering and analyzing data. It should be possible to measure the aspects of the question through available methods.
• Ensure relevance : The question should be relevant to current issues or contribute to a field of study that interests you. It should address a gap in knowledge or add a new perspective to existing studies.
• Test your question : Before finalizing your research question, test it. Discuss it with peers, mentors, or through preliminary literature reviews to ensure it is focused and engaging.

The most important thing is that whatever subject you focus on, it should be interesting to you and your field. Because that way, the writing and analyzing process will be much more enjoyable and rewarding.

Note: Do not figure out your research question after you have finished your research paper.

What are 5 good research questions?

• What impact does incorporating technology into classroom instruction have on student engagement and academic performance in elementary schools?
• How does mindfulness-based stress reduction therapy compare to cognitive-behavioral therapy in reducing symptoms of anxiety and depression among young adults?
• What are the long-term effects of microplastic pollution on marine biodiversity in coastal ecosystems, and how can we mitigate these effects?
• To what extent do socioeconomic factors influence access to healthcare services among marginalized communities, and what policy interventions could address these disparities?
• How do leadership styles and organizational culture impact employee job satisfaction rates in remote work settings?

What is a research question?

A well-developed research question identifies the main issue that the researchers want to investigate and provides a framework for gathering data to address that issue and also proposes a conclusive solution depending on the research type. It serves as a foundation for the writing process and guides the research project.

What types of research questions are there?

Research questions can be classified into three types:

• Descriptive research questions
• Quantitative research questions
• Mixed-methods research questions

What are 6 research questions?

• Descriptive questions
• Comparative questions
• Relationship-based questions
• Exploratory questions
• Predictive questions
• Interpretive questions

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Case Study Research Method in Psychology

Saul Mcleod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul Mcleod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

Learn about our Editorial Process

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

On This Page:

Case studies are in-depth investigations of a person, group, event, or community. Typically, data is gathered from various sources using several methods (e.g., observations & interviews).

The case study research method originated in clinical medicine (the case history, i.e., the patient’s personal history). In psychology, case studies are often confined to the study of a particular individual.

The information is mainly biographical and relates to events in the individual’s past (i.e., retrospective), as well as to significant events that are currently occurring in his or her everyday life.

The case study is not a research method, but researchers select methods of data collection and analysis that will generate material suitable for case studies.

Freud (1909a, 1909b) conducted very detailed investigations into the private lives of his patients in an attempt to both understand and help them overcome their illnesses.

This makes it clear that the case study is a method that should only be used by a psychologist, therapist, or psychiatrist, i.e., someone with a professional qualification.

There is an ethical issue of competence. Only someone qualified to diagnose and treat a person can conduct a formal case study relating to atypical (i.e., abnormal) behavior or atypical development.

 Famous Case Studies

• Anna O – One of the most famous case studies, documenting psychoanalyst Josef Breuer’s treatment of “Anna O” (real name Bertha Pappenheim) for hysteria in the late 1800s using early psychoanalytic theory.
• Little Hans – A child psychoanalysis case study published by Sigmund Freud in 1909 analyzing his five-year-old patient Herbert Graf’s house phobia as related to the Oedipus complex.
• Bruce/Brenda – Gender identity case of the boy (Bruce) whose botched circumcision led psychologist John Money to advise gender reassignment and raise him as a girl (Brenda) in the 1960s.
• Genie Wiley – Linguistics/psychological development case of the victim of extreme isolation abuse who was studied in 1970s California for effects of early language deprivation on acquiring speech later in life.
• Phineas Gage – One of the most famous neuropsychology case studies analyzes personality changes in railroad worker Phineas Gage after an 1848 brain injury involving a tamping iron piercing his skull.

Clinical Case Studies

• Studying the effectiveness of psychotherapy approaches with an individual patient
• Assessing and treating mental illnesses like depression, anxiety disorders, PTSD
• Neuropsychological cases investigating brain injuries or disorders

Child Psychology Case Studies

• Studying psychological development from birth through adolescence
• Cases of learning disabilities, autism spectrum disorders, ADHD
• Effects of trauma, abuse, deprivation on development

Types of Case Studies

• Explanatory case studies : Used to explore causation in order to find underlying principles. Helpful for doing qualitative analysis to explain presumed causal links.
• Exploratory case studies : Used to explore situations where an intervention being evaluated has no clear set of outcomes. It helps define questions and hypotheses for future research.
• Descriptive case studies : Describe an intervention or phenomenon and the real-life context in which it occurred. It is helpful for illustrating certain topics within an evaluation.
• Multiple-case studies : Used to explore differences between cases and replicate findings across cases. Helpful for comparing and contrasting specific cases.
• Intrinsic : Used to gain a better understanding of a particular case. Helpful for capturing the complexity of a single case.
• Collective : Used to explore a general phenomenon using multiple case studies. Helpful for jointly studying a group of cases in order to inquire into the phenomenon.

Where Do You Find Data for a Case Study?

There are several places to find data for a case study. The key is to gather data from multiple sources to get a complete picture of the case and corroborate facts or findings through triangulation of evidence. Most of this information is likely qualitative (i.e., verbal description rather than measurement), but the psychologist might also collect numerical data.

1. Primary sources

• Interviews – Interviewing key people related to the case to get their perspectives and insights. The interview is an extremely effective procedure for obtaining information about an individual, and it may be used to collect comments from the person’s friends, parents, employer, workmates, and others who have a good knowledge of the person, as well as to obtain facts from the person him or herself.
• Observations – Observing behaviors, interactions, processes, etc., related to the case as they unfold in real-time.
• Documents & Records – Reviewing private documents, diaries, public records, correspondence, meeting minutes, etc., relevant to the case.

2. Secondary sources

• News/Media – News coverage of events related to the case study.
• Academic articles – Journal articles, dissertations etc. that discuss the case.
• Government reports – Official data and records related to the case context.
• Books/films – Books, documentaries or films discussing the case.

3. Archival records

Searching historical archives, museum collections and databases to find relevant documents, visual/audio records related to the case history and context.

Public archives like newspapers, organizational records, photographic collections could all include potentially relevant pieces of information to shed light on attitudes, cultural perspectives, common practices and historical contexts related to psychology.

4. Organizational records

Organizational records offer the advantage of often having large datasets collected over time that can reveal or confirm psychological insights.

Of course, privacy and ethical concerns regarding confidential data must be navigated carefully.

However, with proper protocols, organizational records can provide invaluable context and empirical depth to qualitative case studies exploring the intersection of psychology and organizations.

• Organizational/industrial psychology research : Organizational records like employee surveys, turnover/retention data, policies, incident reports etc. may provide insight into topics like job satisfaction, workplace culture and dynamics, leadership issues, employee behaviors etc.
• Clinical psychology : Therapists/hospitals may grant access to anonymized medical records to study aspects like assessments, diagnoses, treatment plans etc. This could shed light on clinical practices.
• School psychology : Studies could utilize anonymized student records like test scores, grades, disciplinary issues, and counseling referrals to study child development, learning barriers, effectiveness of support programs, and more.

How do I Write a Case Study in Psychology?

Follow specified case study guidelines provided by a journal or your psychology tutor. General components of clinical case studies include: background, symptoms, assessments, diagnosis, treatment, and outcomes. Interpreting the information means the researcher decides what to include or leave out. A good case study should always clarify which information is the factual description and which is an inference or the researcher’s opinion.

1. Introduction

• Provide background on the case context and why it is of interest, presenting background information like demographics, relevant history, and presenting problem.
• Compare briefly to similar published cases if applicable. Clearly state the focus/importance of the case.

2. Case Presentation

• Describe the presenting problem in detail, including symptoms, duration,and impact on daily life.
• Include client demographics like age and gender, information about social relationships, and mental health history.
• Describe all physical, emotional, and/or sensory symptoms reported by the client.
• Use patient quotes to describe the initial complaint verbatim. Follow with full-sentence summaries of relevant history details gathered, including key components that led to a working diagnosis.
• Summarize clinical exam results, namely orthopedic/neurological tests, imaging, lab tests, etc. Note actual results rather than subjective conclusions. Provide images if clearly reproducible/anonymized.
• Clearly state the working diagnosis or clinical impression before transitioning to management.

3. Management and Outcome

• Indicate the total duration of care and number of treatments given over what timeframe. Use specific names/descriptions for any therapies/interventions applied.
• Present the results of the intervention,including any quantitative or qualitative data collected.
• For outcomes, utilize visual analog scales for pain, medication usage logs, etc., if possible. Include patient self-reports of improvement/worsening of symptoms. Note the reason for discharge/end of care.

4. Discussion

• Analyze the case, exploring contributing factors, limitations of the study, and connections to existing research.
• Analyze the effectiveness of the intervention,considering factors like participant adherence, limitations of the study, and potential alternative explanations for the results.
• Identify any questions raised in the case analysis and relate insights to established theories and current research if applicable. Avoid definitive claims about physiological explanations.
• Offer clinical implications, and suggest future research directions.

5. Additional Items

• Thank specific assistants for writing support only. No patient acknowledgments.
• References should directly support any key claims or quotes included.
• Use tables/figures/images only if substantially informative. Include permissions and legends/explanatory notes.
• Provides detailed (rich qualitative) information.
• Provides insight for further research.
• Permitting investigation of otherwise impractical (or unethical) situations.

Case studies allow a researcher to investigate a topic in far more detail than might be possible if they were trying to deal with a large number of research participants (nomothetic approach) with the aim of ‘averaging’.

Because of their in-depth, multi-sided approach, case studies often shed light on aspects of human thinking and behavior that would be unethical or impractical to study in other ways.

Research that only looks into the measurable aspects of human behavior is not likely to give us insights into the subjective dimension of experience, which is important to psychoanalytic and humanistic psychologists.

Case studies are often used in exploratory research. They can help us generate new ideas (that might be tested by other methods). They are an important way of illustrating theories and can help show how different aspects of a person’s life are related to each other.

The method is, therefore, important for psychologists who adopt a holistic point of view (i.e., humanistic psychologists ).

Limitations

• Lacking scientific rigor and providing little basis for generalization of results to the wider population.
• Researchers’ own subjective feelings may influence the case study (researcher bias).
• Difficult to replicate.
• Time-consuming and expensive.
• The volume of data, together with the time restrictions in place, impacted the depth of analysis that was possible within the available resources.

Because a case study deals with only one person/event/group, we can never be sure if the case study investigated is representative of the wider body of “similar” instances. This means the conclusions drawn from a particular case may not be transferable to other settings.

Because case studies are based on the analysis of qualitative (i.e., descriptive) data , a lot depends on the psychologist’s interpretation of the information she has acquired.

This means that there is a lot of scope for Anna O , and it could be that the subjective opinions of the psychologist intrude in the assessment of what the data means.

For example, Freud has been criticized for producing case studies in which the information was sometimes distorted to fit particular behavioral theories (e.g., Little Hans ).

This is also true of Money’s interpretation of the Bruce/Brenda case study (Diamond, 1997) when he ignored evidence that went against his theory.

Breuer, J., & Freud, S. (1895).  Studies on hysteria . Standard Edition 2: London.

Curtiss, S. (1981). Genie: The case of a modern wild child .

Diamond, M., & Sigmundson, K. (1997). Sex Reassignment at Birth: Long-term Review and Clinical Implications. Archives of Pediatrics & Adolescent Medicine , 151(3), 298-304

Freud, S. (1909a). Analysis of a phobia of a five year old boy. In The Pelican Freud Library (1977), Vol 8, Case Histories 1, pages 169-306

Freud, S. (1909b). Bemerkungen über einen Fall von Zwangsneurose (Der “Rattenmann”). Jb. psychoanal. psychopathol. Forsch ., I, p. 357-421; GW, VII, p. 379-463; Notes upon a case of obsessional neurosis, SE , 10: 151-318.

Harlow J. M. (1848). Passage of an iron rod through the head.  Boston Medical and Surgical Journal, 39 , 389–393.

Harlow, J. M. (1868).  Recovery from the Passage of an Iron Bar through the Head .  Publications of the Massachusetts Medical Society. 2  (3), 327-347.

Money, J., & Ehrhardt, A. A. (1972).  Man & Woman, Boy & Girl : The Differentiation and Dimorphism of Gender Identity from Conception to Maturity. Baltimore, Maryland: Johns Hopkins University Press.

Money, J., & Tucker, P. (1975). Sexual signatures: On being a man or a woman.

Further Information

• Case Study Approach
• Case Study Method
• Enhancing the Quality of Case Studies in Health Services Research
• “We do things together” A case study of “couplehood” in dementia
• Using mixed methods for evaluating an integrative approach to cancer care: a case study

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Criterion Validity: Definition & Examples

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Likert scale surveys: Definition, examples, and how-tos

Conducting Likert scale surveys can improve your research. Learn how this rating scale works and can give you insightful data.

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A Likert scale is a way to answer a survey question on a five- or seven-point scale. The choices range from Strongly Agree to Strongly Disagree so the survey maker can get a holistic view of people’s opinions. All Likert scale survey questions also include a mid-point for those who are neutral on the subject matter.

We can all agree that there’s no single question that designates someone as politically liberal or conservative. Political affiliation is complicated—a person who's liberal on matters of health care could be conservative on questions of international aid.

So instead of asking one question, you measure how much people agree or disagree with various statements about political policy with a Likert rating scale . Then when you combine or average a person’s responses, you get a more accurate measure of their opinions. Let’s jump into how to create a Likert scale survey and what to do with your results.

How to create a Likert scale survey

Okay, so how do you craft a Likert scale survey that gets you results? That’s the hardest part. Don’t fret—these four steps will help you get it right.

Determine what the Likert Scale should measure

What is it you want to find out? Let’s say you’ve noticed some people love online shopping while others wouldn’t do it if their lives depended on it. And you want to quantify this.

So your task is to measure how people like shopping online. Likert questions will help you here.

Create your list of indicator statements

Remember: A Likert scale survey works best when you want to learn about something that can’t be understood with one question. That means you have to measure indicators—specific types of questions that help you understand the concept you’re trying to measure.

Likert scale questions are great for when you need to do a customer satisfaction survey because there are several characteristics that can influence the phenomenon: perceived quality, customer expectations, pricing, speed of service or delivery, and so on. Each of these is an indicator of customer satisfaction—you can find out if the customer is delighted with their purchase overall or very dissatisfied.

So what question types can you ask people to find out how much they enjoy buying things online?

You could start by asking them to list words they associate with online shopping: boring, complicated, easy, quick, intangible, and so on—you want to gauge the respondent’s opinion here.

Build the indicator statements, or Likert items, around this list.

I prefer to touch things before I buy them (Strongly Agree—Strongly Disagree)

 The variety of options online overwhelms me (Strongly Agree—Strongly Disagree)

 Checking out is easy online (Strongly Agree—Strongly Disagree)

It’s important that every statement gets to the heart of what you’re interested in understanding.

Here are a few more tips for writing your indicator statements:

Use positive and negative indicators for balance. A positively worded statement should have a negatively worded counterpart later in the questionnaire or survey .

So if you have the statement, “The variety of options online overwhelms me,” then you should also have an item like, “I appreciate the wide selection online shopping has to offer.”

People who agree with the positive statements should disagree with the negative ones, and vice versa. That’s how you can be confident that your questions are clear and the responses are reliable.

Follow best practices for creating survey questions . Cater to your audience, use their language, and avoid double-barreled or long, complicated statements.

Remember: how we phrase a question influences the response. So use neutral language, avoiding words like “love,” “hate,” “terrible,” “incredible,” and so on. Let people tell you the strength of their feelings instead of cueing it in the statements.

Decide on the response scale you want to use

When it comes to the Likert-type response ordinal scales, you have to make two decisions.

First is the semantic scale . You want to choose options that are simple and unambiguous. Among the most common: Agree—Disagree, Helpful—Not Helpful, Excellent—Poor, Satisfied—Dissatisfied, Always—Never. But just because they’re popular doesn’t mean they're clear.

And make sure the differences between the categories are valid and useful. Let’s say you want to measure how often a person gets up from their desk at work. You choose Never—Seldom—Sometimes—Often—Always. How do you quantify the difference between seldom and sometimes?

If a scale is potentially ambiguous, either explain the meanings in your introduction or change the scale. Don’t use “Sometimes” when you really mean “Once a week.”

Second is the number of response choices . Likert-type responses often have an odd number, so respondents have a neutral option. The jury is still out on whether that is necessary or even desirable.

Most researchers agree that, at a minimum, you should use a five-point Likert scale survey. But other research shows that the more choices there are, the less often respondents use the middle or neutral category. What seems clear is that a seven-point Likert scale approaches the upper limits of reliability—so adding more options is likely to give you worse, not better, Likert scale data.

Think about those HappyOrNot terminals you find in airports, shopping malls, and even in toilets. You know, the ones with the happy and angry faces on them? Most of them use an even number of response choices. Why? Because it forces people to choose a side, making it easier to collapse responses into two categories (positive vs. negative experience).

Which you choose depends on how you plan to evaluate the responses.

Here are a few more tips for creating your Likert scale responses:

Be creative 

Just because you’re collecting data doesn’t mean you need to sound like a robot. 

Survey tools like Typeform let you edit the labels so your brand voice can shine through your questions. 

Try out Interesting—Not Interesting, or even No Way—Meh—Totally! to keep people engaged.

Use unipolar responses  

The aim of a Likert scale is to get at a larger concept with a series of questions. 

Don’t name that concept with polar opposites like Safe—Dangerous or Strong—Weak. 

Instead, measure in degrees, like Very Safe—Not Safe and Very Strong—Not at All Strong. 

They’re just easier for people to understand, and you can be sure that one extreme is the exact opposite of the other.

Stay consistent with your scales  

Creating a Likert scale involves summing or averaging the responses to measure a concept or phenomenon. 

Without consistent scales, you can’t be certain you are measuring the same thing with each statement.

Test and test again

Surveys are an iterative process. The key to successful research is testing, analyzing, revising, and improving the way you collect data.

Test your survey on a small pool of participants that represent the larger group you’re trying to learn more about and analyze the data. If you’re going for extra credit, you can conduct an item analysis.

An item analysis helps you find out which items, or statements, are most useful and which are problematic. The math’s a bit tricky (which is why I defected from psychology), but a statistical analysis tool can help you find the correlations between your questions.

Once you’ve started conducting the Likert scale questionnaire , run another item analysis to ensure the scale is consistent.

What to do with your Likert scale results

Once you’ve crafted the questionnaire for a Likert scale survey, most of the hard work is already done. If the statements in your questionnaire measure a particular concept when combined, that’s a Likert scale. Averages and standard deviations among your participants describe the data.

If you've used Likert-type items in a survey, then averages, medians, and frequencies are the tools you need for analysis. The tendencies in the data will give you answers to the questions that prompted this survey.

Although Likert scale surveys are relatively simple, a major weakness to consider when interpreting your results is respondent biases .

As with most surveys, social desirability bias can affect the reliability of your Likert scale survey. Even when you tell respondents their responses will remain anonymous, many people still try to give socially acceptable answers rather than being honest. This can be minimized with an even-number scale, which prevents people from sitting on the fence.

Likert scale surveys are particularly susceptible to central tendency bias: People avoid choosing the most extreme responses, such as Very Helpful or Strongly Disagree. You can reduce the effect of this bias with some clear definitions, such as “In this survey, Very Helpful means you got everything you needed from our customer service agent.”

At the other end of the spectrum is extreme response bias. This happens when people only choose the extreme options. There are several causes of this, including cultural attitudes and IQ. But the one you have control over is the wording of the question. Use neutral language and don’t ask leading questions—it’ll impact your data analysis.

People tend to agree with statements to please others. This is known as acquiescence response bias—otherwise known as the when-in-doubt-just-agree bias. 

There are two ways to minimize its effect:

Phrase your statements as questions.

Include a positive and negative statement and evaluate the pairs for consistency.

Overall, Likert scale surveys are pretty simple to create and complete and provide highly reliable data. They allow you to capture the variation and complexity of people’s attitudes, giving you deeper insights into what people are thinking and feeling.

Getting your Likert scale survey right means loads of useful data to help you get to know people better. Ready to get started? We can help you create a survey today!

About the author

We're Typeform - a team on a mission to transform data collection by bringing you refreshingly different forms.

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What is OSINT: Open-source intelligence?

The lessons that OSINT provides to open-data portals

Open-source intelligence (OSINT) is the practice of collecting and analysing information gathered from open sources to produce actionable intelligence. This intelligence can support, for example, national security, law enforcement and business intelligence. OSINT investigates open (source) data collected for one purpose and repurposes it to shed light on hidden topics. The whole concept of OSINT sounds counter intuitive—using open data to reveal information that organisations want to keep secret.

In the war in Ukraine, OSINT has been used to get a better idea of the movements of Russian military equipment and also to understand real progress during the war. This includes first-hand video footage collected by ordinary citizens, but also data points collected, for example, by web sites looking to track aircraft and train movement.

Open sources that feed into OSINT can be divided up into six categories of information flow:

• Public media – print newspaper, magazines, and television. 
• Internet – online publications and blogs, discussion groups such as forums, and social media websites, such as YouTube, Twitter and Instagram.
• Public government data – public government reports, budgets, press conferences, hearings, and speeches.
• Professional and academic publications – journals, conferences, academic papers, and theses.
• Commercial data – commercial imagery, business and financial assessments, and databases.
• Grey literature – technical reports, patents, business documents, unpublished works, and newsletters.

OSINT-related challenges and the role for open-data portals

Data collected and repurposed for OSINT is unique as it cannot be compared against an objective reality to see that the data is being collected properly. Gathered weather data, for example, can be compared against an observable reality of rain, while OSINT data is looking to reveal an uncertain reality. Consequently, portals that hold OSINT data (OSINT portals) operate in an environment of uncertainty in which understanding and measuring data quality is key.

In the war in Ukraine, for example, local residents who film and take pictures of destroyed equipment focus attention on Russian equipment that is being destroyed rather than on Ukrainian loses. Given that Russian soldiers have reportedly had mobile phones confiscated , this can lead to a natural bias of available information that is skewed.

At the same time, some actors may also be interested in manipulating the story that is being told by OSINT. For example, moderators of OSINT data sort through pictures and videos that claim to be separate incidents, but are actually from the same incident taken from a different angles. Within the fog of war, unreliable data comes from both innocent mistakes and purposeful deceptions. These manipulations multiply the complexity of the task of ensuring the validity of the data being collected, which ultimately determines its value. OSINT gains value not through the amount of data being collected, but via the meticulous research required to ensure its authenticity.

Clearly, OSINT provides real benefits with some caveats, creating a wealth of data with uncertain reliability. In the case of OSINT, the data needs to be vetted and put into context before being distributed via a portal or platform. Open-data portals that distribute OSINT must take a proactive role in ensuring data quality through selection and validation. Without this context-giving role, the open data that OSINT portals collect would quickly be dismissed as unreliable noise and as a source of unreliable propaganda.

This is an important lesson—collecting vast quantities of data without reorganising and qualifying it can reduce its value. Open-data platforms are not necessarily conduits through which data flows freely, they also play a valuable role as arbitrators of quality. Ultimately, developers and users need to be able to easily access the data, but also trust that the information they are using can be relied upon to provide accurate results for the intended purpose.

Further examples of OSINT portals

While OSINT has received media attention given the war in Ukraine, it has been gaining momentum for the last decade. Several institutions have been incorporating OSINT into their practice, including national security, law enforcement, and non-governmental organisations, such as Bellingcat , the Center for Information Resilience and Oryx .

Bellingcat, an independent international collective of researchers, investigators and citizen journalists, has been a particularly heavy user of the kind of open data that OSINT provides. In one piece of reporting, Bellingcat attempted to identify key suspects in the downing of Malaysian Airlines Flight 17 over eastern Ukraine in 2014. Based on images taken from social media and phone intercepts that the Ukrainian Security Service made available on YouTube, Bellingcat published a report outlining evidence that a Buk Missile launcher downed the airline. They also published the names of the individuals that they believed responsible. Other examples of their work include exposing illegal shipping precursors of the nerve agent Sarin to Syria by Belgian companies , revealing the use of drones by non-state actors in Syria and Iraq , and most recently mapping incidents of civilian harm in Ukraine .

The Center for Information Resilience, a non-profit organisation based in the United Kingdom, dedicates itself to countering misinformation, exposing human rights abuses and combatting online behaviour that is harmful to women and minority groups. Currently, they are part of the OSINT community of researchers that are studying the war in Ukraine with the aim of providing reliable information on the conflict through verified open-source evidence. Recently, they published their findings on the Yalivshchyna Burial Site and the mass graves after the Russian invasion after combing through information on the Russia-Ukraine Monitor Map .

Oryx is a blog website run by two military analysts since 2014 that is devoted to investigating and sharing information about conflict research, OSINT and military history. A recent example of their work is a list of destroyed and captured vehicles and equipment from Russia and Ukraine since the invasion on 24 February 2022. This list only includes destroyed vehicles and equipment where a photo or videographic evidence of the destruction is available. Users are welcome to add links or files of additional photos and videos that show destroyed vehicle and equipment to be verified by the team and later added to the list.

OSINT and open data portals: a powerful alliance

Open source intelligence relies heavily on ordinary, unpaid citizens in much the same way that open source software relies on ordinary, unpaid developers. Without this army of unpaid OSINT supporters, who collect and check the quality of raw data, OSINT would lack its authority and quality. The decentralised and crowd-sourced nature of OSINT erodes the ability of centralised authorities—whether government or corporate—to hide certain truths. This is not to say that crowd-sourced judgements always lead to sound analysis. As with any data source, information should be corroborated and continually questioned. This, however, makes open data portals all the more important in providing a governance structure and framework that allows OSINT to thrive.

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Formulating a researchable question: A critical step for facilitating good clinical research

Sadaf aslam.

Clinical and Translational Science Institute and Department of Internal Medicine, College of Medicine, University of South Florida, Tampa, FL, USA

Patricia Emmanuel

Developing a researchable question is one of the challenging tasks a researcher encounters when initiating a project. Both, unanswered issues in current clinical practice or when experiences dictate alternative therapies may provoke an investigator to formulate a clinical research question. This article will assist researchers by providing step-by-step guidance on the formulation of a research question. This paper also describes PICO (population, intervention, control, and outcomes) criteria in framing a research question. Finally, we also assess the characteristics of a research question in the context of initiating a research project.

INTRODUCTION

A researchable question is an uncertainty about a problem that can be challenged, examined, and analyzed to provide useful information.[ 1 ] A successful research project depends upon how well an investigator formulates the research question based on the problems faced in day-to-day research activities and clinical practice. The underlying questions of a research project provide important information to decide whether the topic is relevant, researchable, and significant. A well-formulated research question needs extreme specificity and preciseness which guides the implementation of the project keeping in mind the identification of variables and population of interest. Here we will present a clinical scenario and see how clinical questions arise and help us in finding the evidence to answer our question.

FORMULATING THE RESEARCH QUESTION

A 2-year-old boy presents in an outpatient clinic with fever and severe pain in his right ear. He has a history of recurrent ear infections, and his mother expresses a concern that he has been on the antibiotic amoxicillin for the past few weeks. She is worried about the consequences of the long-term antibiotic use. She is also concerned about the outcome associated with recurrent ear infections. She wants to know if the prescribed amoxicillin is effective, or it can be substituted with another antibiotic because of its side effects such as frequent diarrhea.

Several questions arise from this case which can be broadly classified into background and foreground questions. The general questions about a clinical problem or a disease are called “Background Questions.”[ 2 ] These questions generally ask what, when, how, and where about the disease, disorder, or treatment for instance, “What is otitis media?” or “How does amoxicillin work?” etc. These types of questions can be answered by going through review articles or text books.

The patient-oriented questions involving interpretation of a therapy or disease and consideration of risk vs. benefit for a patient or a group of patient are called “Foreground Questions.”[ 2 ] These types of complex clinical questions are best answered by primary or pre-assessed studies in the literature. These questions mostly compare the two, either two drugs or treatments or two diagnostic methods, etc.

The PICO (population, intervention, control, and outcomes) format [ Table 1 ] is considered a widely known strategy for framing a “foreground” research question.[ 3 ] Sackett et al . pointed out that breaking the question into four components will facilitate the identification of relevant information.

Considering PICO and FINER criteria for developing a research question[ 3 , 5 ]

Population or problem - addressing a specific population, its important characteristics and demographic information. From the above case, you can identify pediatric population with otitis media, the age range, sex, presenting complaint, and history.

Intervention or treatment of interest - the intervention can be a treatment, procedure, diagnostic test, and risk or prognostic factors. In this case, the intervention will be your plan to treat the patient which can be a new therapy, a diagnostic test, prognostic factor, or a procedure. For example, based on your observation in clinic, cefuroxime is another better treatment option as compared to amoxicillin in treating otitis media but you are not sure about its efficacy in pediatric population with otitis media.

Comparator or control -when a new therapy is compared with the existing one.

Outcome - is the effect of the intervention. For example, its effectiveness in controlling pain. Therefore, the outcome in the above case can be the relief of pain, the resolution of infection, or decreasing the risk of developing resistance. A good primary outcome should be easily quantifiable, specific, valid, reproducible, and appropriate to your research question.[ 4 ]

In a typical clinical setting, a clinician needs to know about background and foreground questions depending upon the experience about a particular disease and therapy. Once background questions are answered, more complex questions are addressed. The clinical questions arise from the central issues in a clinical work.[ 2 ] For example, identifying causes or risk factors (etiological questions), comparing diagnostic tests based on sensitivity and specificity (diagnostic query), identifying best treatment options (therapeutic question), and outcome of the treatment (prognostic question).

After determining a foreground question, the PICO approach is followed. Dissecting the question into parts makes it easy and searchable. As evident in this case, there are several relevant questions, for example: what are the outcomes associated with recurrent ear infection, what are the possible effects of long-term use of antibiotic, and what are the harms associated with current treatment? Now if you gather all the information from PICO approach, the following researchable questions can be formulated.

In children with acute otitis media (P), is cefuroxime (I) effective in reducing the duration of symptoms (O) as compared to amoxicillin (C)?

In children suffering from otitis media, will cefuroxime result in the improvement of symptoms and reduction in developing resistance?

Does treatment with amoxicillin increase the risk of developing resistance in children suffering from otitis media?

Does surgical procedure has better outcome for the treatment of otitis media in children after repeated antibiotic therapy?

From the above case, we have formulated multiple questions based on our patient’s illness and concerns. Now we can use the strategy of “selecting” the best question.[ 2 ] For example, which question has more significance for the patient’s well-being, which question is relevant to our knowledge needs and which question might lead to interesting answers for our patients and clinical query? Further, we need to consider the feasibility of finding the evidence in a short period.

ASSESSING THE RESEARCH QUESTION IN THE CONTEXT OF A STUDY DESIGN

As proposed by Hulley et al . [ Table 1 ], a research question should be formulated keeping in mind the FINER (feasible, interesting, novel, ethical, and relevant) criteria[ 5 ] and that the answer should fill gaps in the existing knowledge. The following points should be considered while assessing a research question.

Determining the required resources

The feasibility of conducting a research project is based on the research question and should be considered early in the process in order to avoid waste of resources and intellectual energy. This is sometimes difficult for a new investigator and they need guidance from their mentors.[ 4 ]

• Consider doing a pilot or proof of concept study to asses the feasibility;
• Consult a biostatistician early in the project in order to choose less costly design and common outcomes;
• Consider feasibility of enrolling the intended number of subjects from the population of your interest. Also, consider expanding your inclusion criteria and modifying exclusion criteria if it is difficult to enroll the intended number; and
• Consider cost of each element of the study design, research staff, and resources.

Significance of making it interesting and relevant

An important question may not seem interesting the way it is presented. It is a challenge to present a research question clearly and engage the interest and attention of the reviewers. Research is too much work to not have a passion for what you are investigating. You will have more support for your study, and it will be easier to publish if the topic is novel and also interests your collaborators, colleagues, and the community at large. It is important to pursue a research question with a passion of getting the truth out of the matter.[ 5 ] This is how we all perceive research; commitment to a high-quality systematic and unbiased completion of an innovative project. If your question can explain a given problem while pointing toward a specific aspect which is missing then your project can get a great deal of support.

Conducting literature review

The innovation of any research question is determined by a thorough literature search. Any replication of the study already existing in the literature is not worth repeating as it is. Depending upon the research question, sometimes the study can be replicated if your question approaches an existing problem in a refreshing way. This can be achieved by using a different populations, different techniques, new conceptual approaches, or linking two different studies in which outcomes did not solve the problem.[ 5 ] Once a preliminary question has been formulated, literature search should be done to find out what is known or unknown about the topic. The goal of the literature review is to determine what research has been conducted on the topic of interest? and how has it been conducted? and what are the gaps in the knowledge?. It is recommended to use PubMed, MedlinePlus, CINAHL, or Web of Science as the main search databases, but other databases can be used as well. PubMed clinical query is an easy and user-friendly database to search for evidence related to clinical practice. This also provides information to search MEDLINE by doing categorical searches, for example, therapeutic, diagnostic, etiological, and prognostic. The American College of Physicians (ACP) and clinical evidence from BMJ Publishing Group are excellent systems to find evidence on therapeutic questions. Other search engines such as OVID has a large selection of texts and journals which provides access to other databases such as Cochrane library in getting full text articles and systematic reviews. Gray et al . suggested 4 Ss for literature review: Systems : use of comprehensive resources, Synopses : extracting high-quality studies and abstracts, Syntheses: systematic reviews, and Studies : original research studies.[ 6 ] In the hierarchy of evidence-based medicine, systematic reviews are considered the best method for evidence. Systematic reviews are rigorous methods of collecting and synthesizing the results of many high-quality studies. Conducting a thorough literature search also helps in finding information on the methodology, calculating the sample size, and also the type of analysis as we are looking to find a difference. This information is necessary to help structure a new study and to identify gaps in the knowledge base of the scientific community.

Refining research question

A focused research question leads to a systematic planning of a research project. The difficulty in framing a research question is not due to the lack of ideas. The challenge is to transform a novel research question into a valid study design which is the next step in refining a research question.

Asking a well-formulated research question is a starting point in conducting a quality research project and in evidence-based clinical practice. The framework presented in this paper can be helpful for a clinician to formulate a question and search for an answer and for a researcher to develop a new research project. The classical approach is to identify a research question followed by a thorough literature search keeping in mind the PICO and FINER criteria. If it is a well-defined research question, it will lead to an appropriate study design and methodology. Discussing your research question with knowledgeable peers, department chair, mentor, and the biostatistician from the start will lead to the completion of a successful project. Other steps such as type and phase of the clinical trial, budget, informed consent, sites, resource constraints of both personnel and facilities, and timeline should also be considered while formulating a research question. We have introduced the concept of background and foreground questions and also the types of different questions that can arise (therapy, harm, diagnosis, and prognosis). We have described several strategies here while highlighting the major steps that will help investigators in framing a question with the goal of finding an answer based on evidence or initiation of a new research project. It is always good to focus on a single research question based on its relevance to patient’s health or one primary objective to drive the study design.[ 4 ] Once we have formulated our research question, we need to keep track of the progress toward finding an appropriate answer and then finally applying the results to a specific patient population. In short, a researchable question is what leads toward the facts rather than opinion[ 7 ] and is clearly linked to the overall research project goal.

Acknowledgments

The authors would like to acknowledge Dr. J.K Kosambiya, Dr. Eknath Naik, and Dr. Ambuj Kumar for their time in reviewing the paper and providing useful insights.

Source of Support: Nil

Conflict of Interest: None declared.

Vitamins and Minerals

Vitamins and minerals are micronutrients required by the body to carry out a range of normal functions. However, these micronutrients are not produced in our bodies and must be derived from the food we eat.

Vitamins are organic substances that are generally classified as either fat soluble or water soluble. Fat-soluble vitamins ( vitamin A , vitamin D , vitamin E , and vitamin K ) dissolve in fat and tend to accumulate in the body. Water-soluble vitamins ( vitamin C and the B-complex vitamins , such as vitamin B6 , vitamin B12 , and folate ) must dissolve in water before they can be absorbed by the body, and therefore cannot be stored. Any water-soluble vitamins unused by the body is primarily lost through urine.

Minerals are inorganic elements present in soil and water, which are absorbed by plants or consumed by animals. While you’re likely familiar with calcium , sodium , and potassium , there is a range of other minerals, including trace minerals (e.g. copper , iodine , and zinc ) needed in very small amounts.

In the U.S., the National Academy of Medicine (formerly the Institute of Medicine) develops nutrient reference values called the Dietary Reference Intakes (DRIs) for vitamins and minerals. [1] These are intended as a guide for good nutrition and as a scientific basis for the development of food guidelines in both the U.S. and Canada. The DRIs are specific to age, gender, and life stages, and cover more than 40 nutrient substances. The guidelines are based on available reports of deficiency and toxicity of each nutrient. Learn more about vitamins and minerals and their recommended intakes in the table below.

What about multivitamins?

A diet that includes plenty of fruits, vegetables , whole grains , good protein packages , and healthful fats should provide most of the nutrients needed for good health. But not everyone manages to eat a healthful diet. Multivitamins can play an important role when nutritional requirements are not met through diet alone. Learn more about vitamin supplementation .

Did you know? 

Vitamins and their precise requirements have been controversial since their discovery in the late 1800s and early 1900s. It was the combined efforts of epidemiologists, physicians, chemists, and physiologists that led to our modern day understanding of vitamins and minerals. After years of observation, experiments, and trial and error, they were able to distinguish that some diseases were not caused by infections or toxins—a common belief at the time—but by vitamin deficiencies. [2] Chemists worked to identify a vitamin’s chemical structure so it could be replicated. Soon after, researchers determined specific amounts of vitamins needed to avoid diseases of deficiency.

In 1912, biochemist Casimir Funk was the first to coin the term “vitamin” in a research publication that was accepted by the medical community, derived from “vita” meaning life, and “amine” referring to a nitrogenous substance essential for life. [3] Funk is considered the father of vitamin therapy, as he identified nutritional components that were missing in diseases of deficiency like scurvy (too little vitamin C ), beri-beri (too little vitamin B1 ), pellagra (too little vitamin B3 ), and rickets (too little vitamin D ). The discovery of all vitamins occurred by 1948.

Vitamins were obtained only from food until the 1930s when commercially made supplements of certain vitamins became available. The U.S government also began fortifying foods with specific nutrients to prevent deficiencies common at the time, such as adding iodine to salt to prevent goiter, and adding folic acid to grain products to reduce birth defects during pregnancy. In the 1950s, most vitamins and multivitamins were available for sale to the general public to prevent deficiencies, some receiving a good amount of marketing in popular magazines such as promoting cod liver oil containing vitamin D as bottled sunshine.

• Dietary Reference Intakes for Calcium, Phosphorous, Magnesium, Vitamin D, and Fluoride (1997); Dietary Reference Intakes for Thiamin, Riboflavin, Niacin, Vitamin B6, Folate, Vitamin B12, Pantothenic Acid, Biotin, and Choline (1998); Dietary Reference Intakes for Vitamin C, Vitamin E, Selenium, and Carotenoids (2000); Dietary Reference Intakes for Vitamin A, Vitamin K, Arsenic, Boron, Chromium, Copper, Iodine, Iron, Manganese, Molybdenum, Nickel, Silicon, Vanadium, and Zinc (2001); and Dietary Reference Intakes for Calcium and Vitamin D (2011) . These reports may be accessed via www.nap.edu .
• Semba RD. The discovery of the vitamins. Int J Vitam Nutr Res . 2012 Oct 1;82(5):310-5.
• Piro A, Tagarelli G, Lagonia P, Tagarelli A, Quattrone A. Casimir Funk: his discovery of the vitamins and their deficiency disorders. Ann Nutr Metab . 2010;57(2):85-8.

Last reviewed March 2023

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