23 Common Researcher Interview Questions & Answers
Prepare for researcher interviews with insights into methodologies, ethical practices, data challenges, interdisciplinary work, and effective communication.
Landing a job as a Researcher is like piecing together a complex puzzle—it’s both challenging and rewarding. The interview process is your chance to showcase your analytical prowess and passion for discovery. But let’s face it, interviews can be nerve-wracking. You’re not just answering questions; you’re demonstrating your ability to think critically and communicate your ideas clearly. That’s why preparing for the big day is crucial. With the right preparation, you can walk into that interview room with confidence, ready to tackle any question that comes your way.
In this article, we’re diving into the world of Researcher interview questions and answers. We’ll explore the types of questions you might encounter, from the technical to the behavioral, and how to craft responses that highlight your skills and experience. We’ll also share some insider tips to help you stand out from the competition.
What Research Institutions Are Looking for in Researchers
When preparing for a researcher position interview, it’s essential to understand that the role of a researcher can vary widely depending on the industry and the specific focus of the research. Researchers are crucial in driving innovation, uncovering new insights, and solving complex problems. Whether in academia, corporate settings, or government agencies, researchers are valued for their ability to gather, analyze, and interpret data to inform decisions and advance knowledge.
Despite the diversity in research roles, there are common qualities and skills that companies typically seek in researcher candidates:
- Analytical skills: Researchers must possess strong analytical skills to evaluate data critically and draw meaningful conclusions. This involves not only understanding statistical methods and tools but also being able to interpret results in the context of the research question or problem at hand.
- Attention to detail: Precision is paramount in research. Whether designing experiments, collecting data, or writing reports, researchers must have a keen eye for detail to ensure accuracy and reliability in their work.
- Problem-solving abilities: Researchers often encounter unexpected challenges and must be adept at developing creative solutions. This requires a combination of critical thinking, resourcefulness, and the ability to adapt methodologies as needed.
- Communication skills: Effective communication is crucial for researchers to convey their findings to diverse audiences, including peers, stakeholders, and the general public. This involves writing clear and concise reports, presenting data visually, and articulating complex concepts in an accessible manner.
- Technical proficiency: Depending on the field, researchers may need expertise in specific software, laboratory techniques, or research methodologies. Staying updated with the latest tools and technologies is often essential for conducting cutting-edge research.
In addition to these core skills, companies may also prioritize:
- Collaboration skills: Research is often a team effort, requiring collaboration with colleagues, cross-functional teams, or external partners. Being able to work effectively in a team environment and contribute to collective goals is highly valued.
- Project management skills: Researchers frequently juggle multiple projects and deadlines. Strong organizational and time management skills are necessary to prioritize tasks, manage resources, and ensure timely completion of research objectives.
To demonstrate these skills during an interview, candidates should provide concrete examples from their past research experiences and explain their methodologies and outcomes. Preparing to answer specific questions about their research process, challenges faced, and contributions to projects can help candidates showcase their expertise and potential impact.
As you prepare for your interview, consider the following example questions and answers to help you articulate your experiences and skills effectively.
Common Researcher Interview Questions
1. why would you choose a mixed-methods approach for a specific research project.
A mixed-methods approach integrates quantitative and qualitative data, providing a comprehensive view of complex research questions. This strategy allows for cross-validation of findings and deeper insights, showcasing adaptability and a commitment to robust conclusions.
How to Answer: When choosing a mixed-methods approach, explain the value of combining quantitative and qualitative methods for a comprehensive analysis. Discuss past experiences where this approach provided significant insights and your readiness to tackle complex research challenges.
Example: “Choosing a mixed-methods approach allows for a more comprehensive understanding of complex research questions by combining the strengths of both qualitative and quantitative data. For a project I worked on that aimed to understand the impact of remote work on employee productivity and well-being, using mixed methods was crucial. Quantitatively, surveys provided measurable data on productivity metrics and self-reported well-being indicators across a large sample. Qualitatively, in-depth interviews offered rich insights into personal experiences and challenges faced by employees, which numbers alone couldn’t capture.
This combination not only validated the quantitative findings but also uncovered nuanced factors affecting productivity, like home environment and work-life balance, which were crucial for recommending effective organizational policies. By integrating both approaches, we presented a holistic view that was both statistically sound and deeply insightful, offering actionable recommendations for stakeholders.”
2. How do you ensure the ethical integrity of your research?
Ethical integrity is essential for credible research and its societal impact. Researchers must adhere to ethical guidelines, ensuring respect for participants and transparency. This balance between knowledge pursuit and ethical standards is vital for public trust and scientific advancement.
How to Answer: Discuss your understanding of ethical guidelines and provide examples of how you’ve implemented them in past projects. Mention any ethical review processes you’ve engaged with and how you’ve addressed potential dilemmas. Highlight your proactive approach to ethics, such as seeking mentorship or participating in ethics training.
Example: “I always start by familiarizing myself with the latest ethical guidelines and standards relevant to my field, whether they’re from institutional review boards or professional organizations. Before diving into a project, I make sure to design it with these guidelines in mind, ensuring informed consent, confidentiality, and transparency are non-negotiable parts of the process.
For a recent project on consumer behavior, I engaged an ethics consultant early in the process to review my methodology and data handling practices. This ensured that any potential ethical pitfalls were addressed proactively. Throughout the research, I maintained open communication with participants and encouraged feedback to ensure they felt respected and valued. This approach not only safeguarded the integrity of my research but also enhanced its credibility and reliability.”
3. How do you identify gaps in the existing literature?
Identifying gaps in literature demonstrates a researcher’s analytical skills and familiarity with their field. Recognizing under-explored areas shows an understanding of current knowledge and the potential to contribute novel insights, advancing research beyond reiterating existing findings.
How to Answer: Describe your systematic approach to reviewing literature, such as conducting comprehensive reviews or using databases to track trends and overlooked areas. Provide examples where you’ve identified a gap and the impact of addressing it, emphasizing your initiative in contributing to the academic community.
Example: “Identifying gaps in the existing literature requires a blend of thoroughness and curiosity. I start by conducting a comprehensive literature review, which involves not just reading recent studies, but also diving deep into older foundational works to understand the evolution of the topic. I pay special attention to recurring themes and conclusions to see where consensus exists and where it doesn’t.
While reviewing, I note areas where authors frequently call for further research or where findings are inconsistent or contradictory. Engaging with diverse sources, including academic journals, conference proceedings, and even industry reports, broadens my perspective. Once I spot a potential gap, I evaluate its significance based on its potential impact, feasibility, and alignment with current trends or societal needs. For instance, in my last project on renewable energy technologies, I noticed a lack of research on the socioeconomic impacts of these technologies in rural areas. This gap became the focus of my subsequent study, which has since sparked further research in that niche area.”
4. Can you share an experience where your research led to unexpected results?
Unexpected results are a natural part of research, testing adaptability and problem-solving skills. Embracing the unexpected can lead to breakthroughs or new inquiries, highlighting a researcher’s ability to adjust methodologies and learn from unforeseen outcomes.
How to Answer: Focus on a specific instance where your research led to unexpected results. Describe the situation, your initial reaction, and the steps you took to understand the results. Highlight any adjustments made to your research plan and the impact of these findings.
Example: “Absolutely. While working on a project studying consumer behavior in response to online advertisements, the expectation was that flashy, vibrant ads would lead to higher engagement. However, the data revealed something surprising: users were actually more responsive to minimalistic and simple ads. Rather than dismissing this, I dove deeper, conducting follow-up interviews and surveys to understand the psychology behind it.
It turned out that users found simpler ads less intrusive and more trustworthy, which led to greater engagement. This unexpected result not only altered the trajectory of our research but also informed the marketing strategies of the client, who then pivoted to emphasize simplicity in their future campaigns. The experience reinforced the importance of staying open-minded and letting the data guide conclusions, even when they deviate from initial hypotheses.”
5. What techniques do you use to ensure replicability in your studies?
Replicability ensures scientific integrity and credibility, reflecting a commitment to transparency and reliability. Researchers who prioritize this demonstrate a thorough understanding of the scientific method, designing studies that others can reproduce to build a solid evidence foundation.
How to Answer: Discuss techniques like detailed documentation of methodologies, data collection, and analysis procedures. Mention standardized protocols and pre-registration of studies. Highlight experience with peer review or collaboration to cross-verify results, and share examples where replicability was a priority.
Example: “My approach starts with meticulous documentation. I create detailed protocols that outline every step of the research process, including materials, methodologies, and data analysis procedures. This ensures that anyone with the same resources can replicate the study. I also prioritize transparency in data collection by using standardized tools and validating them before deploying.
When possible, I conduct a pilot study to identify and iron out any inconsistencies or biases in the process. I encourage peer reviews and collaborate with colleagues to get feedback on the methodology, which often helps catch potential oversights. Finally, I make sure to share raw data and analysis scripts in accessible repositories, allowing other researchers to verify and build upon my work.”
6. How do you engage stakeholders in your research process?
Engaging stakeholders ensures research relevance and real-world impact. Stakeholders bring diverse perspectives that shape research questions and outcomes, enhancing credibility and practical application. Their involvement aligns research with societal needs, increasing the likelihood of meaningful change.
How to Answer: Highlight methods to engage stakeholders, such as regular communication, workshops, or feedback sessions. Share examples where stakeholder involvement influenced your research. Emphasize your ability to listen, adapt to feedback, and build strong relationships.
Example: “I prioritize early and open communication with stakeholders to align their expectations and insights with the research objectives. I start by organizing a kickoff meeting where stakeholders can express their goals and concerns, ensuring that I understand their priorities and how they envision the research impacting their work. Throughout the project, I maintain regular updates via concise reports or brief meetings to discuss findings and gather feedback, which allows stakeholders to feel involved and valued in the process.
In a previous project, I worked on a study for a community health initiative. I made it a point to involve local healthcare providers and community leaders by scheduling frequent check-ins and presenting preliminary findings. This not only helped refine the research focus based on their input but also ensured that the final recommendations were practical and implementable, garnering strong support and commitment from the stakeholders.”
7. What methods do you use to validate qualitative data findings?
Qualitative data requires careful evaluation for reliability and validity. Ensuring credibility advances knowledge and contributes meaningful insights. Validation methods reflect a commitment to trustworthy results and familiarity with research methodologies, producing robust conclusions.
How to Answer: Discuss methods like triangulation, member checking, and thick description, explaining their importance in your research. Highlight experiences where you employed these methods and any challenges you overcame. Emphasize your understanding of credibility, transferability, dependability, and confirmability in qualitative research.
Example: “I prioritize triangulation by using multiple sources or methods to cross-verify data. For instance, if I’m conducting interviews, I’ll complement them with focus groups or observational studies. This helps ensure that the themes emerging aren’t simply a result of a particular method or sample.
I also engage in respondent validation, sharing my findings or interpretations with participants to confirm accuracy and resonance. This not only strengthens validity but often provides additional insights. In a previous project, after analyzing interview data, I organized a workshop with participants to discuss the initial findings. Their feedback was invaluable in refining the conclusions and ensuring they truly reflected the experiences and perspectives of the group.”
8. What challenges have you faced when working with large datasets?
Handling large datasets requires technical skill and problem-solving. Challenges like data integrity and computational limits test accuracy and adaptability. Experience with these challenges reveals data management skills and the ability to deliver reliable results despite obstacles.
How to Answer: Focus on instances where you faced challenges with large datasets. Describe the challenge, strategies used to address it, and the outcome. Highlight tools or technologies used, how you ensured data quality, and what you learned from the experience.
Example: “One of the biggest challenges I’ve encountered with large datasets is ensuring data integrity while managing data from multiple sources. In a recent project, I was tasked with analyzing consumer behavior across various digital platforms, and the data came from different sources with inconsistent formats and occasional errors.
I developed a robust cleaning process that included scripts for automating the identification and correction of these discrepancies, which saved a significant amount of manual effort and reduced the likelihood of errors. Additionally, I implemented a validation step where I cross-referenced the cleaned data with a sample set to ensure accuracy. This approach not only streamlined the data preparation phase but also increased confidence in the analysis outcomes, ultimately leading to more reliable insights and informed decision-making.”
9. What innovative methodologies have you recently adopted in your field?
Innovation in research is essential for pushing knowledge boundaries. Integrating novel methodologies leads to discoveries and efficient processes. Staying current with advancements demonstrates a commitment to excellence and the potential to bring fresh perspectives to research.
How to Answer: Articulate methodologies you’ve adopted and how they enhanced your research. Discuss their impact, whether through improved accuracy, efficiency, or exploring new questions. Connect your practices to broader trends in your field.
Example: “Lately, I’ve integrated machine learning algorithms into my data analysis process to enhance the accuracy and efficiency of pattern recognition in large datasets. This approach has allowed me to identify trends that traditional methods might overlook. I recently worked on a project analyzing climate data, where applying these algorithms significantly improved our ability to predict weather anomalies. By training the model on historical data, we were able to forecast outcomes with a higher degree of confidence. This methodology not only accelerated our research timeline but also provided more robust insights, which were instrumental in shaping policy recommendations for local government agencies.”
10. How do you balance theoretical frameworks with practical applications?
Balancing theory and practice is key for translating concepts into tangible outcomes. This balance influences funding, collaborations, and research impact. Understanding this dynamic shows the ability to contribute to academic discourse and practical innovation.
How to Answer: Discuss examples where you bridged the gap between theory and practice. Describe a project where theoretical insights informed practical solutions, outlining steps taken to integrate both aspects. Highlight challenges faced and how you overcame them.
Example: “I focus on aligning theoretical frameworks with real-world needs from the onset. I start by identifying the core objectives of the research—what practical problem are we trying to solve or understand better? Once that’s clear, I select a theoretical framework that best aligns with these objectives and provides a robust foundation for data collection and analysis. Throughout the process, regular collaboration with stakeholders ensures that the theoretical direction remains relevant to practical applications.
In a recent project, I was examining user engagement with a new technology in educational settings. I used the Technology Acceptance Model as a guiding framework but stayed in close contact with educators to understand their day-to-day challenges and experiences. This dual approach allowed me to adjust the research focus as needed, ensuring that the findings were not only theoretically sound but also actionable and directly applicable to improving educational practices.”
11. What is your process for revising a rejected manuscript for resubmission?
Revising a rejected manuscript involves addressing feedback and critically evaluating one’s work. This process reflects a commitment to scientific rigor and adaptability, showcasing problem-solving skills and effective communication with peer reviewers and editors.
How to Answer: Highlight a structured approach to addressing feedback, showing an ability to prioritize comments based on their impact on the research’s validity and clarity. Describe strategies like organizing reviewer comments, collaborating with co-authors, and maintaining a positive attitude towards criticism.
Example: “First, I carefully review the feedback from the reviewers to identify the core issues they raised. I find it helpful to categorize the feedback into major and minor concerns, as this helps prioritize what needs to be addressed. I then draft a response document where I outline how I’ll address each point. For major issues, I might need to conduct additional experiments or analyses, while minor issues might involve clarifying certain sections or providing more context.
It’s crucial to remain objective and open-minded during this process, even if some feedback feels challenging. Once I’ve revised the manuscript, I often seek a fresh perspective by asking a colleague to review the changes before resubmission. Their insights can be invaluable in ensuring that the revisions are clear and comprehensive. Finally, I ensure that the response document is thorough, detailing how each point was addressed or, if not, providing a well-reasoned justification. This systematic approach has been effective in turning rejections into acceptances.”
12. What strategies do you use to manage and analyze qualitative data?
Qualitative data offers rich insights but requires effective management and analysis. Proficiency in organizing and interpreting this data is crucial for meaningful results. Methodological rigor and creativity in handling data reflect the ability to maintain integrity and draw valid conclusions.
How to Answer: Articulate strategies and tools you use, such as coding frameworks, thematic analysis, or software like NVivo. Highlight your ability to remain objective while interpreting data and ensuring consistency and reliability in your analyses.
Example: “I begin by organizing the data into a thematic framework. This involves coding the data into categories that reflect patterns or themes, which helps in identifying key insights. I use software like NVivo to manage this process efficiently, allowing for easy retrieval and analysis.
After coding, I conduct a thematic analysis by actively looking for overarching themes and sub-themes. I ensure the analysis remains rooted in the data by constantly referencing back to the raw information. This iterative process helps in refining the themes and ensures the insights are valid. In a recent project, this approach not only streamlined the analysis phase but also uncovered unexpected connections that significantly enriched our final report.”
13. How important is interdisciplinary collaboration in your work?
Interdisciplinary collaboration leads to groundbreaking discoveries by integrating diverse perspectives and expertise. This approach broadens research scope and impact, fostering continuous learning and adaptability. Engaging in such collaborations reflects the ability to work in dynamic environments.
How to Answer: Focus on examples where interdisciplinary work played a role in your research. Highlight projects where collaboration with other fields led to new insights. Discuss how you navigate challenges of working with different disciplines and your ability to communicate effectively.
Example: “Interdisciplinary collaboration is absolutely central to my work. I find that the most innovative solutions often emerge when we bring together diverse perspectives. In my last project, I worked with a team of data scientists, psychologists, and policy experts to develop a predictive model for educational outcomes. Each discipline brought unique insights. The data scientists designed robust algorithms, the psychologists provided a nuanced understanding of behavioral factors, and the policy experts helped us align our findings with practical applications.
Our collaboration led to a model that was not only statistically sound but also actionable and relevant to stakeholders. By working together, we were able to anticipate potential challenges and address them proactively, ultimately making a more meaningful impact in the field. I truly believe that interdisciplinary collaboration enriches research and leads to more comprehensive and effective results.”
14. Can you describe your experience with presenting complex data to non-expert audiences?
Communicating complex data to non-experts bridges the gap between technical expertise and broader understanding. This skill influences decision-making and fosters collaboration, demonstrating the ability to distill intricate information into accessible insights for impactful outcomes.
How to Answer: Highlight experiences where you translated complex data for non-expert audiences. Describe techniques used, such as analogies, visual aids, or storytelling, to make data relatable. Provide examples of feedback or outcomes from your presentations.
Example: “Absolutely, it’s something I’ve had to do regularly in my role. One project comes to mind where I was tasked with presenting our findings on climate change impacts to a local community group. The data was filled with intricate models and projections that could be overwhelming to those not in the field.
I focused on crafting a narrative that connected with their daily lives, using simple visual aids like infographics and relatable analogies. For instance, when discussing temperature rise, I compared it to the rising cost of living, something everyone could relate to. I also encouraged questions throughout, creating an interactive discussion rather than a one-sided presentation. This approach not only clarified the data but also empowered the audience to engage with the topic and apply it to their own decision-making processes.”
15. How do you stay updated with the latest advancements in your field?
Staying updated with advancements is essential as the field evolves. A commitment to lifelong learning and incorporating new information reflects resourcefulness and dedication to maintaining a competitive edge. Engagement with scholarly conversations is crucial for collaboration and innovation.
How to Answer: Detail strategies you employ, such as subscribing to journals, attending conferences, or participating in online forums. Mention thought leaders or organizations you follow and how you apply new knowledge to your research.
Example: “I make it a priority to integrate learning into my daily routine. Subscribing to key journals and setting up alerts for specific keywords helps me catch relevant publications as soon as they’re released. I also attend webinars and virtual conferences, which have become more accessible and convenient lately. Networking with peers in the field is invaluable, and I make it a point to engage in discussions on platforms like ResearchGate or LinkedIn.
Whenever possible, I participate in collaborative projects or workshops, which often provide fresh perspectives and insights. Recently, I joined a working group focused on emerging methodologies in our field, which has been a fantastic way to stay at the forefront of new techniques and ideas. This combination of continuous education and active participation keeps me well-informed and ready to adapt to new developments.”
16. How do you handle discrepancies between your findings and established theories?
Addressing discrepancies between findings and established theories challenges the status quo and propels knowledge forward. Navigating these situations reveals critical thinking and adaptability, contributing to the evolution of the field rather than adhering to conventional wisdom.
How to Answer: Highlight your approach to investigating discrepancies between findings and established theories. Discuss how you ensure data accuracy, consider alternative explanations, and consult with colleagues or literature for new perspectives.
Example: “I approach discrepancies as opportunities for deeper exploration. When I encounter findings that don’t align with established theories, my first step is to rigorously assess my methodology and data to rule out errors or biases. If everything checks out, I dive into the literature to see if anyone else has observed similar anomalies or if there might be emerging theories that could provide context.
In one instance, my research on climate patterns yielded results that didn’t match the prevailing models. After confirming the validity of my data, I reached out to colleagues who specialize in related fields to discuss possible interpretations. This led to a collaborative paper that proposed a new perspective on regional climate influences, which sparked further research and dialogue in the community. It’s crucial to remain open-minded and collaborative, as these discrepancies often lead to advancements in our understanding.”
17. How do you incorporate feedback from peer reviews into your research process?
Peer reviews are a mechanism for quality control and improvement. Engaging in this iterative process highlights openness to diverse perspectives and commitment to academic rigor. Incorporating feedback elevates research quality and demonstrates a collaborative spirit.
How to Answer: Articulate a process for integrating feedback, showing an understanding of its value beyond correction. Discuss examples where peer feedback led to improvements, illustrating how you prioritized suggestions and balanced them with your objectives.
Example: “Incorporating feedback from peer reviews is crucial to refining and strengthening my research. I start by carefully analyzing the feedback to identify recurring themes or concerns, which often point to areas that need more attention. I prioritize addressing these first and then move on to more specific suggestions. If there are critiques that seem unclear or could be interpreted in multiple ways, I don’t hesitate to reach out to the reviewer for clarification, ensuring I fully understand the intent behind their comments.
Once I have a clear roadmap, I integrate the feedback into my work methodically, considering how each change impacts the overall research objective and integrity. I also maintain an open dialogue with my peers throughout this process to ensure that any adjustments remain aligned with the research goals. In a recent project on climate adaptation strategies, feedback led me to expand my data set to include more regional variables, which significantly enhanced the robustness of my findings and provided a more comprehensive view of the subject.”
18. What techniques do you use for synthesizing vast amounts of information?
Synthesizing vast information is crucial for advancing knowledge. The ability to distill and integrate data into coherent insights reveals cognitive strategies and organizational skills. This highlights analytical prowess and the capacity to contribute effectively to the research landscape.
How to Answer: Articulate methods you employ, such as thematic analysis, data visualization, or digital tools for data management. Share experiences where these techniques led to successful outcomes, demonstrating your ability to handle large volumes of information.
Example: “I prioritize creating an organized framework to tackle vast amounts of information. I start by categorizing the data into key themes or questions that need to be addressed. Utilizing tools like mind maps or digital note-taking apps, I can visually lay out the core topics and subtopics, which helps in identifying connections and gaps. This approach allows me to see the bigger picture and ensures that I don’t get lost in the details.
Additionally, I implement a system of annotating and summarizing key points from each source, which makes it easier to reference later. I also find it immensely helpful to regularly discuss my findings with colleagues or mentors, as explaining the material to someone else can often clarify my own understanding and bring new insights. In a recent project, this approach not only helped streamline my research process but also led to uncovering a unique angle that significantly contributed to the success of our study.”
19. What is your experience with longitudinal studies and their unique challenges?
Longitudinal studies offer insights into changes over time but present challenges like maintaining participant engagement and managing logistics. Experience with these studies assesses the ability to handle intricacies and produce reliable data over extended periods.
How to Answer: Highlight projects where you managed or contributed to longitudinal studies. Discuss strategies to overcome challenges like participant retention and data consistency. Emphasize problem-solving skills and adaptability throughout the study’s duration.
Example: “Longitudinal studies are a fascinating yet intricate aspect of research, offering rich insights over time. In my previous role, I was part of a team conducting a multi-year study on the impacts of early education programs on long-term academic success. One of the key challenges we faced was maintaining participant engagement over several years. To address this, we developed a comprehensive retention strategy, which included regular updates on the study’s findings, personalized communications, and small incentives for participation milestones.
Data consistency was another hurdle. We implemented strict protocols for data collection and trained our team on maintaining these standards to ensure reliability. This experience taught me the importance of adaptability and meticulous planning in navigating the complexities of longitudinal research, ultimately contributing to the study’s success and the meaningful conclusions we were able to draw.”
20. What metrics do you use to evaluate the impact of your research?
Evaluating research impact involves assessing contributions beyond traditional metrics. Understanding how research resonates within the academic community and beyond reveals the ability to think critically about its significance and articulate its value to diverse stakeholders.
How to Answer: Highlight metrics that demonstrate the reach and influence of your research, such as policy impacts or societal benefits. Discuss how you track these metrics and adapt research strategies based on feedback and results.
Example: “I typically focus on a combination of qualitative and quantitative metrics to assess the impact of my research. Quantitatively, I look at citations, as they can provide a clear indication of how my work influences other researchers. Additionally, I track the number of downloads and views in digital repositories to gauge interest and reach. Qualitatively, I assess feedback from peer reviews and conference presentations, as well as engagement during workshops or seminars, which often provide insights into how practitioners and stakeholders are implementing my findings in real-world scenarios.
In a recent project, I worked on developing a new methodology for analyzing urban traffic patterns. While citations were important, I also collaborated with city planners to pilot the methodology in a small district. Their feedback and the resulting policy changes were crucial metrics for me, as they demonstrated tangible impacts beyond academic circles. Balancing these metrics allows me to measure not just the academic value but also the practical application and societal benefit of my research.”
21. How do you adapt your research focus in response to emerging trends?
Adapting research focus in response to trends requires understanding the field’s trajectory and the ability to pivot strategically. This demonstrates agility and foresight, qualities valuable in a rapidly evolving landscape, and reflects strategic thinking and creativity.
How to Answer: Highlight instances where you’ve shifted your research focus in response to new developments. Provide examples illustrating your proactive approach to staying informed and integrating insights into your work.
Example: “I start by regularly reviewing the latest publications and attending conferences to stay informed about emerging trends. This helps me identify shifts in the field and spot gaps that might not yet be fully explored. If a new trend aligns with the broader goals of my research, I’ll adjust my focus to incorporate these new insights.
For instance, during my last project on renewable energy technologies, I noticed a growing interest in energy storage solutions. I shifted part of my focus to explore battery technologies, conducting a literature review and collaborating with experts in the field to deepen my understanding. This adaptation not only enriched my existing research but also positioned me to contribute to discussions on this crucial aspect of renewable energy.”
22. How do you measure success in your research projects?
Success in research involves defining clear objectives, maintaining rigorous methodologies, and contributing meaningful insights. It goes beyond publications or citations, considering broader implications like influencing policy or solving real-world problems.
How to Answer: Emphasize your approach to setting and achieving objectives, methodological rigor, and the broader impact of your work. Highlight metrics used to evaluate success, such as data quality, relevance of findings, or collaboration with others.
Example: “I measure success in research projects by combining both quantitative and qualitative metrics. It’s important to have clear, predefined goals, such as specific data points or hypotheses to test, which can be tracked through measurable outcomes like publication acceptance, citations, or data accuracy. But I also look at the broader impact—how the research findings contribute to the field or solve real-world problems, and whether the project sparks new questions or collaborations.
In a previous project on renewable energy solutions, we set out to publish in a top-tier journal, but success was also defined by the adoption of our findings by local policymakers to improve energy efficiency standards. Seeing our work influence policy was a profound measure of success that extended beyond the initial publication goal. Balancing these tangible and intangible outcomes ensures that the research not only advances knowledge but also creates meaningful change.”
23. What role does data visualization play in your research, and how do you approach it?
Data visualization transforms complex datasets into understandable insights, enhancing communication and pattern recognition. Effective visualization makes data accessible and impactful, demonstrating technical proficiency and creativity in presenting research outcomes.
How to Answer: Highlight instances where data visualization impacted your research. Discuss your methodology for selecting visualization tools and techniques, ensuring they align with research goals and audience needs. Emphasize your ability to tailor visualizations to different stakeholders.
Example: “Data visualization is crucial in my research as it transforms complex data sets into easily understandable insights, facilitating better decision-making and communication with stakeholders who might not have a deep technical background. I focus on clarity and relevance when approaching data visualization. I start by considering the audience and the specific story the data needs to tell, which guides my choice of visualization tools and techniques—whether it’s a simple bar chart or a more complex heat map.
In a recent project analyzing environmental data, I used interactive dashboards that allowed users to explore different variables and trends over time. This dynamic approach not only engaged the audience but also highlighted correlations and patterns that might have been overlooked in a static report. I find that by iterating on these visualizations based on feedback, the final product becomes a powerful tool for both understanding and action.”
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12 research interview questions (with examples and answers)
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Dazzle the interviewing team and land the job of your dreams by coming prepared to answer the most commonly asked research interview questions.
Read our article (which includes example answers to get your brain juices flowing) to ensure you put your best foot forward for your next research interview.
- What are research interview questions?
If you have set your sights on working in research, you will have to answer research interview questions during the hiring process.
Whether you are interested in working as a research assistant or want to land an academic or industry research position in your chosen field, confidently answering research interview questions is the best way to showcase your skills and land the job.
Designed to be open-ended , research interview questions give your interviewer a chance to:
Get a better understanding of your research experience
Explore your areas of research expertise
Determine if you and your research are a good fit for their needs
Assess if they have the required resources for you to conduct your research effectively
- 12 research interview questions (with answers)
If you want to crush an upcoming interview for a research position, practicing your answers to commonly asked questions is a great place to start.
Read our list of research interview questions and answers to help get into the pre-interview zone (and, hopefully, ensure you land that position!)
- General research questions
General research questions are typically asked at the start of the interview to give the interviewer a sense of your work, personality, experience, and career goals.
They offer a great opportunity to introduce yourself and your skills before you deep-dive into your specific area of expertise.
What is your area of research expertise?
Interviewers will ask this common kickoff question to learn more about you and your interests and experience. Besides providing the needed information, you can use this question to highlight your unique skills at the beginning of your interview to set the tone.
Example answer
“My research focuses on the interaction between social media use and teenager mental well-being. I’ve conducted [X number] studies which have been published in [X publications]. I love studying this topic because not only is it a pressing modern issue, it also serves a commonly overlooked population that requires and deserves additional attention and support.”
Why are you interested in [X research topic]?
Another icebreaker, this question allows you to provide some context and backstory into your passion for research.
“After completing my undergraduate degree in mechanical engineering, I had the opportunity to work with my current mentor on their research project . After we conducted the first experiment, I had a million other questions I wanted to explore—and I was hooked. From there, I was fortunate enough to be taken on as an assistant by my mentor, and they have helped me home in on my specific research topic over the past [X years].”
What are your favorite and least favorite aspects of research?
Playing off the classic “What are your greatest strengths and weaknesses?” interview question, this research-specific option often appears in these types of interviews.
This can be a tricky question to answer well. The best way to approach this type of question is to be honest but constructive. This is your opportunity to come across as genuine as you talk about aspects of research that challenge you—because no one wants to hear you like everything about your work!
“My favorite part of research is speaking directly to people in our target demographic to hear about their stories and experiences. My least favorite part is the struggle to secure grants to support my work—though now I have done that process a few times, it is less daunting than when I started.”
- In-depth interview questions about your research
Once the interviewer has a basic understanding of you, they will transition into asking more in-depth questions about your work.
Regardless of your level of experience, this is the portion of the interview where you can dazzle your potential employer with your knowledge of your industry and research topic to highlight your value as a potential employee.
Where has your work been published?
As this is a straightforward question, make sure you have to hand every place your work has been published. If your work is yet to be published, mention potential future publications and any other academic writing you have worked on throughout your career.
“My research has been published in [X number of publications]. If you want to read my published work, I am happy to share the publication links or print you a copy.”
Tell us about your research process
Getting into the meat and potatoes of your work, this question is the perfect opportunity to share your working process while setting clear expectations for the support you will need.
Research is a collaborative process between team members and your employer, so being clear about how you prefer to work (while acknowledging you will need to make compromises to adjust to existing processes) will help you stand out from other candidates.
“Historically, I have worked alongside a team of researchers to devise and conduct my research projects. Once we determine the topic and gather the needed resources, I strive to be collaborative and open as we design the study parameters and negotiate the flow of our work. I enjoy analyzing data, so in most cases, I take the lead on that portion of the project, but I am happy to jump in and support the team with other aspects of the project as well.”
What sources do you use to collect your research data?
Depending on the type of research you conduct, this question allows you to deep-dive into the specifics of your data-collection process. Use this question to explain how you ensure you are collecting the right data, including selecting study participants, filtering peer-reviewed papers to analyze, etc.
“Because my research involves collecting qualitative data from volunteers, I use strict criteria to ensure the people I interview are within our target demographic. During the interview, which I like doing virtually for convenience, I use [X software] to create transcripts and pool data to make the analysis process less time-consuming.”
- Leadership research questions
Many research positions require employees to take on leadership responsibilities as they progress throughout their careers.
If this is the case for your job position, have strong answers prepared to the following questions to showcase your leadership and conflict-management skills.
Are you interested in becoming a research leader or manager?
Many research positions are looking for people with leadership potential to take on more responsibility as they grow throughout their careers. If you are interested in pursuing research leadership, use this question to highlight your leadership qualities.
“While I currently do not have much research leadership experience, I have worked with so many lovely mentors, and I would love the opportunity to fulfill that role for the next generation of academics. Because I am quite organized and attuned to the challenges of research, I would love the opportunity to take on leadership responsibilities over time.”
How do you handle workplace conflicts within a research team?
Workplace conflict is always present when working with a team, so it is a common topic for research interview questions.
Despite being tricky to navigate, this type of question allows you to show you are a team player and that you know how to handle periods of interpersonal stress.
“When I'm directly involved in a disagreement with my team members, I do my best to voice my opinion while remaining respectful. I am trained in de-escalation techniques, so I use those skills to prevent the argument from getting too heated. If I am a bystander to an argument, I try to help other team members feel heard and valued while disengaging any big emotions from the conversation.”
How would you support and motivate a struggling researcher on your team?
Research is a team effort. Employers are looking for people who can work well in teams as a priority when hiring. Describing your ability to support and encourage your team members is essential for crushing your research interview.
“Working in research is hard—so I have had my fair share of offering and receiving support. When I have noticed someone is struggling, I do my best to offset their workload (provided I have the space to assist). Also, because I pride myself on being a friendly and approachable person, I do my best to provide a safe, open space for my team members if they want to talk or vent about any issues.”
- Future-oriented research questions
As the interview comes to a close, your interviewer may ask you about your aspirations in academia and research.
To seal the deal and leave a positive impression, these types of questions are the perfect opportunity to remind your interviewer about your skills, knowledge base, and passion for your work and future in research.
What other areas of research are you interested in exploring?
Many hiring research positions may require their researchers to be open to exploring alternative research topics . If this applies to your position, coming prepared with adjacent topics to your current studies can help you stand out.
“While my primary interests are with my area of study, I also am interested in exploring [X additional topics] related to my current work.”
Where do you see your research in 5, 10, or 20 years?
Your employer wants to see you are interested in and invested in growing your research career with them. To scope out your aspirations (and to show you are a good match for their needs), they may ask you to detail your future career goals.
“In five years, I would love to have at least two more published projects, particularly in [X publication]. Past that, as I mature in my research career, I hope to take on more leadership roles in the next 10 to 20 years, including running my own lab or being invited to speak at conferences in my chosen field.”
In an ideal world, what would your perfect research job look like?
As a fun hypothetical question, the “ideal world” inquiry allows you to get creative and specific about your wishes and aspirations. If you get asked this question, do your best not to limit yourself. Be specific about what you want; you never know, some of your wishes may already be possible to fulfill!
“In an ideal world, I would love to be the lead of my own research team. We would have our own working space, access to [X specific research tool] to conduct our research, and would be able to attend conferences within our field as keynote speakers.”
- Get ready to ace your next research interview
Now you’re ready to dazzle your interviewers and land the research job of your dreams. Prepare strong and competent answers after reading this article on the most common research interview questions.
Arriving prepared for your interview is a great way to reduce stress, but remember: Showcasing yourself and your passion for your research is the number one way to stand out from the other applicants and get the job.
Best of luck. You’ve got this!
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Research Methods Guide: Interview Research
- Introduction
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Tutorial Videos: Interview Method
Interview as a Method for Qualitative Research
Goals of Interview Research
- Preferences
- They help you explain, better understand, and explore research subjects' opinions, behavior, experiences, phenomenon, etc.
- Interview questions are usually open-ended questions so that in-depth information will be collected.
Mode of Data Collection
There are several types of interviews, including:
- Face-to-Face
- Online (e.g. Skype, Googlehangout, etc)
FAQ: Conducting Interview Research
What are the important steps involved in interviews?
- Think about who you will interview
- Think about what kind of information you want to obtain from interviews
- Think about why you want to pursue in-depth information around your research topic
- Introduce yourself and explain the aim of the interview
- Devise your questions so interviewees can help answer your research question
- Have a sequence to your questions / topics by grouping them in themes
- Make sure you can easily move back and forth between questions / topics
- Make sure your questions are clear and easy to understand
- Do not ask leading questions
- Do you want to bring a second interviewer with you?
- Do you want to bring a notetaker?
- Do you want to record interviews? If so, do you have time to transcribe interview recordings?
- Where will you interview people? Where is the setting with the least distraction?
- How long will each interview take?
- Do you need to address terms of confidentiality?
Do I have to choose either a survey or interviewing method?
No. In fact, many researchers use a mixed method - interviews can be useful as follow-up to certain respondents to surveys, e.g., to further investigate their responses.
Is training an interviewer important?
Yes, since the interviewer can control the quality of the result, training the interviewer becomes crucial. If more than one interviewers are involved in your study, it is important to have every interviewer understand the interviewing procedure and rehearse the interviewing process before beginning the formal study.
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Research Interviews: An effective and insightful way of data collection
Research interviews play a pivotal role in collecting data for various academic, scientific, and professional endeavors. They provide researchers with an opportunity to delve deep into the thoughts, experiences, and perspectives of an individual, thus enabling a comprehensive understanding of complex phenomena. It is important for researchers to design an effective and insightful method of data collection on a particular topic. A research interview is typically a two-person meeting conducted to collect information on a certain topic. It is a qualitative data collection method to gain primary information.
The three key features of a research interview are as follows:
Table of Contents
The Significance of Research Interviews in Gathering Primary Data
The role of research interviews in gathering first-hand information is invaluable. Additionally, they allow researchers to interact directly with participants, enabling them to collect unfiltered primary data.
1. Subjective Experience
Research interviews facilitate in-depth exploration of a research topic. Thus, by engaging in one-to-one conversation with participants, researchers can delve into the nuances and complexities of their experiences, perspectives, and opinions. This allows comprehensive understanding of the research subject that may not be possible through other methods. Also, research interviews offer the unique advantage of capturing subjective experiences through personal narratives. Moreover, participants can express their thoughts, feelings, and beliefs, which add depth to the findings.
2. Personal Insights
Research interviews offer an opportunity for participants to share their views and opinions on the objective they are being interviewed for. Furthermore, participants can express their thoughts and experiences, providing rich qualitative data . Consequently, these personal narratives add a human element to the research, thus enhancing the understanding of the topic from the participants’ perspectives. Research interviews offer the opportunity to uncover unanticipated insights or emerging themes. Additionally, open-ended questions and active listening can help the researchers to identify new perspectives, ideas, or patterns that may not have been initially considered. As a result, these factors can lead to new avenues for exploration.
3. Clarification and Validation
Researchers can clarify participants’ responses and validate their understanding during an interview. This ensures accurate data collection and interpretation. Additionally, researchers can probe deeper into participants’ statements and seek clarification on any ambiguity in the information.
4. Contextual Information
Research interviews allow researchers to gather contextual information that offers a comprehensive understanding of the research topic. Additionally, participants can provide insights into the social, cultural, or environmental factors that shape their experiences, behaviors, and beliefs. This contextual information helps researchers place the data in a broader context and facilitates a more nuanced analysis.
5. Non-verbal Cues
In addition to verbal responses, research interviews allow researchers to observe non-verbal cues such as body language, facial expressions, and tone of voice. Additionally, non-verbal cues can convey information, such as emotions, attitudes, or levels of comfort. Furthermore, integrating non-verbal cues with verbal responses provides a more holistic understanding of participants’ experiences and enriches the data collection process.
Research interviews offer several advantages, making them a reliable tool for collecting information. However, choosing the right type of research interview is essential for collecting useful data.
Types of Research Interviews
There are several types of research interviews that researchers can use based on their research goals , the nature of their study, and the data they aim to collect. Here are some common types of research interviews:
1. Structured Interviews
- Structured interviews are standardized and follow a fixed format.
- Therefore, these interviews have a pre-determined set of questions.
- All the participants are asked the same set of questions in the same order.
- Therefore, this type of interview facilitates standardization and allows easy comparison and quantitative analysis of responses.
- As a result, structured interviews are used in surveys or studies which aims for a high level of standardization and comparability.
2. Semi-structured Interviews
- Semi-structured interviews offer a flexible framework by combining pre-determined questions.
- So, this gives an opportunity for follow-up questions and open-ended discussions.
- Researchers have a list of core questions but can adapt the interview depending on the participant’s responses.
- Consequently, this allows for in-depth exploration while maintaining some level of consistency across interviews.
- As a result, semi-structured interviews are widely used in qualitative research, where content-rich data is desired.
3. Unstructured Interviews
- Unstructured interviews provide the greatest flexibility and freedom in the interview process.
- This type do not have a pre-determined set of questions.
- Thus, the conversation flows naturally based on the participant’s responses and the researcher’s interests.
- Moreover, this type of interview allows for open-ended exploration and encourages participants to share their experiences, thoughts, and perspectives freely.
- Unstructured interviews useful to explore new or complex research topics, with limited preconceived questions.
4. Group Interviews (Focus Groups)
- Group interviews involve multiple participants who engage in a facilitated discussion on a specific topic.
- This format allows the interaction and exchange of ideas among participants, generating a group dynamic.
- Therefore, group interviews are beneficial for capturing diverse perspectives, and generating collective insights.
- They are often used in market research, social sciences, or studies demanding shared experiences.
5. Narrative Interviews
- Narrative interviews focus on eliciting participants’ personal stories, views, experiences, and narratives. Researchers aim to look into the individual’s life journey.
- As a result, this type of interview allows participants to construct and share their own narratives, providing rich qualitative data.
- Qualitative research, oral history, or studies focusing on individual experiences and identities uses narrative interviews.
6. Ethnographic Interviews
- Ethnographic interviews are conducted within the context of ethnographic research, where researchers immerse themselves in a specific social or cultural setting.
- These interviews aim to understand participants’ experiences, beliefs, and practices within their cultural context, thereby understanding diversity in different ethnic groups.
- Furthermore, ethnographic interviews involve building rapport, observing the participants’ daily lives, and engaging in conversations that capture the nuances of the culture under study.
It must be noted that these interview types are not mutually exclusive. Therefore, researchers often employ a combination of approaches to gather the most comprehensive data for their research. The choice of interview type depends on the research objectives and the nature of the research topic.
Steps of Conducting a Research Interview
Research interviews offer several benefits, and thus careful planning and execution of the entire process are important to gather in-depth information from the participants. While conducting an interview, it is essential to know the necessary steps to follow for ensuring success. The steps to conduct a research interview are as follows:
- Identify the objectives and understand the goals
- Select an appropriate interview format
- Organize the necessary materials for the interview
- Understand the questions to be addressed
- Analyze the demographics of interviewees
- Select the interviewees
- Design the interview questions to gather sufficient information
- Schedule the interview
- Explain the purpose of the interview
- Analyze the interviewee based on his/her responses
Considerations for Research Interviews
Since the flexible nature of research interviews makes them an invaluable tool for data collection, researchers must consider certain factors to make the process effective. They should avoid bias and preconceived notion against the participants. Furthermore, researchers must comply with ethical considerations and respect the cultural differences between them and the participants. Also, they should ensure careful tailoring of the questions to avoid making them offensive or derogatory. The interviewers must respect the privacy of the participants and ensure the confidentiality of their details.
By ensuring due diligence of these considerations associated with research interviews, researchers can maximize the validity and reliability of the collected data, leading to robust and meaningful research outcomes.
Have you ever conducted a research interview? What was your experience? What factors did you consider when conducting a research interview? Share it with researchers worldwide by submitting your thought piece on Enago Academy’s Open Blogging Platform .
Frequently Asked Questions
• Identify the objectives of the interview • State and explain the purpose of the interview • Select an appropriate interview format • Organize the necessary materials for the Interview • Check the demographics of the participants • Select the Interviewees or the participants • Prepare the list of questions to gather maximum useful data from the participants • Schedule the Interview • Analyze the participant based on his/ her Responses
Interviews are important in research as it helps to gather elaborative first-hand information. It helps to draw conclusions from the non-verbal views and personal experiences. It reduces the ambiguity of data through detailed discussions.
The advantages of research interviews are: • It offers first-hand information • Offers detailed assessment which can result in elaborate conclusions • It is easy to conduct • Provides non-verbal cues The disadvantages of research interviews are: • There is a risk of personal bias • It can be time consuming • The outcomes might be unpredictable
The difference between structured and unstructured interview are: • Structured interviews have well-structured questions in a pre-determined order; while unstructured interviews are flexible and do not have a pre-planned set of questions. • Structured interview is more detailed; while unstructured interviews are exploratory in nature. • Structured interview is easier to replicate as compared to unstructured interview.
Focus groups is a group of multiple participants engaging in a facilitated discussion on a specific topic. This format allows for interaction and exchange of ideas among participants.
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Qualitative Research 101: Interviewing
5 Common Mistakes To Avoid When Undertaking Interviews
By: David Phair (PhD) and Kerryn Warren (PhD) | March 2022
Undertaking interviews is potentially the most important step in the qualitative research process. If you don’t collect useful, useable data in your interviews, you’ll struggle through the rest of your dissertation or thesis. Having helped numerous students with their research over the years, we’ve noticed some common interviewing mistakes that first-time researchers make. In this post, we’ll discuss five costly interview-related mistakes and outline useful strategies to avoid making these.
Overview: 5 Interviewing Mistakes
- Not having a clear interview strategy /plan
- Not having good interview techniques /skills
- Not securing a suitable location and equipment
- Not having a basic risk management plan
- Not keeping your “ golden thread ” front of mind
1. Not having a clear interview strategy
The first common mistake that we’ll look at is that of starting the interviewing process without having first come up with a clear interview strategy or plan of action. While it’s natural to be keen to get started engaging with your interviewees, a lack of planning can result in a mess of data and inconsistency between interviews.
There are several design choices to decide on and plan for before you start interviewing anyone. Some of the most important questions you need to ask yourself before conducting interviews include:
- What are the guiding research aims and research questions of my study?
- Will I use a structured, semi-structured or unstructured interview approach?
- How will I record the interviews (audio or video)?
- Who will be interviewed and by whom ?
- What ethics and data law considerations do I need to adhere to?
- How will I analyze my data?
Let’s take a quick look at some of these.
The core objective of the interviewing process is to generate useful data that will help you address your overall research aims. Therefore, your interviews need to be conducted in a way that directly links to your research aims, objectives and research questions (i.e. your “golden thread”). This means that you need to carefully consider the questions you’ll ask to ensure that they align with and feed into your golden thread. If any question doesn’t align with this, you may want to consider scrapping it.
Another important design choice is whether you’ll use an unstructured, semi-structured or structured interview approach . For semi-structured interviews, you will have a list of questions that you plan to ask and these questions will be open-ended in nature. You’ll also allow the discussion to digress from the core question set if something interesting comes up. This means that the type of information generated might differ a fair amount between interviews.
Contrasted to this, a structured approach to interviews is more rigid, where a specific set of closed questions is developed and asked for each interviewee in exactly the same order. Closed questions have a limited set of answers, that are often single-word answers. Therefore, you need to think about what you’re trying to achieve with your research project (i.e. your research aims) and decided on which approach would be best suited in your case.
It is also important to plan ahead with regards to who will be interviewed and how. You need to think about how you will approach the possible interviewees to get their cooperation, who will conduct the interviews, when to conduct the interviews and how to record the interviews. For each of these decisions, it’s also essential to make sure that all ethical considerations and data protection laws are taken into account.
Finally, you should think through how you plan to analyze the data (i.e., your qualitative analysis method) generated by the interviews. Different types of analysis rely on different types of data, so you need to ensure you’re asking the right types of questions and correctly guiding your respondents.
Simply put, you need to have a plan of action regarding the specifics of your interview approach before you start collecting data. If not, you’ll end up drifting in your approach from interview to interview, which will result in inconsistent, unusable data.
2. Not having good interview technique
While you’re generally not expected to become you to be an expert interviewer for a dissertation or thesis, it is important to practice good interview technique and develop basic interviewing skills .
Let’s go through some basics that will help the process along.
Firstly, before the interview , make sure you know your interview questions well and have a clear idea of what you want from the interview. Naturally, the specificity of your questions will depend on whether you’re taking a structured, semi-structured or unstructured approach, but you still need a consistent starting point . Ideally, you should develop an interview guide beforehand (more on this later) that details your core question and links these to the research aims, objectives and research questions.
Before you undertake any interviews, it’s a good idea to do a few mock interviews with friends or family members. This will help you get comfortable with the interviewer role, prepare for potentially unexpected answers and give you a good idea of how long the interview will take to conduct. In the interviewing process, you’re likely to encounter two kinds of challenging interviewees ; the two-word respondent and the respondent who meanders and babbles. Therefore, you should prepare yourself for both and come up with a plan to respond to each in a way that will allow the interview to continue productively.
To begin the formal interview , provide the person you are interviewing with an overview of your research. This will help to calm their nerves (and yours) and contextualize the interaction. Ultimately, you want the interviewee to feel comfortable and be willing to be open and honest with you, so it’s useful to start in a more casual, relaxed fashion and allow them to ask any questions they may have. From there, you can ease them into the rest of the questions.
As the interview progresses , avoid asking leading questions (i.e., questions that assume something about the interviewee or their response). Make sure that you speak clearly and slowly , using plain language and being ready to paraphrase questions if the person you are interviewing misunderstands. Be particularly careful with interviewing English second language speakers to ensure that you’re both on the same page.
Engage with the interviewee by listening to them carefully and acknowledging that you are listening to them by smiling or nodding. Show them that you’re interested in what they’re saying and thank them for their openness as appropriate. This will also encourage your interviewee to respond openly.
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3. Not securing a suitable location and quality equipment
Where you conduct your interviews and the equipment you use to record them both play an important role in how the process unfolds. Therefore, you need to think carefully about each of these variables before you start interviewing.
Poor location: A bad location can result in the quality of your interviews being compromised, interrupted, or cancelled. If you are conducting physical interviews, you’ll need a location that is quiet, safe, and welcoming . It’s very important that your location of choice is not prone to interruptions (the workplace office is generally problematic, for example) and has suitable facilities (such as water, a bathroom, and snacks).
If you are conducting online interviews , you need to consider a few other factors. Importantly, you need to make sure that both you and your respondent have access to a good, stable internet connection and electricity. Always check before the time that both of you know how to use the relevant software and it’s accessible (sometimes meeting platforms are blocked by workplace policies or firewalls). It’s also good to have alternatives in place (such as WhatsApp, Zoom, or Teams) to cater for these types of issues.
Poor equipment: Using poor-quality recording equipment or using equipment incorrectly means that you will have trouble transcribing, coding, and analyzing your interviews. This can be a major issue , as some of your interview data may go completely to waste if not recorded well. So, make sure that you use good-quality recording equipment and that you know how to use it correctly.
To avoid issues, you should always conduct test recordings before every interview to ensure that you can use the relevant equipment properly. It’s also a good idea to spot check each recording afterwards, just to make sure it was recorded as planned. If your equipment uses batteries, be sure to always carry a spare set.
4. Not having a basic risk management plan
Many possible issues can arise during the interview process. Not planning for these issues can mean that you are left with compromised data that might not be useful to you. Therefore, it’s important to map out some sort of risk management plan ahead of time, considering the potential risks, how you’ll minimize their probability and how you’ll manage them if they materialize.
Common potential issues related to the actual interview include cancellations (people pulling out), delays (such as getting stuck in traffic), language and accent differences (especially in the case of poor internet connections), issues with internet connections and power supply. Other issues can also occur in the interview itself. For example, the interviewee could drift off-topic, or you might encounter an interviewee who does not say much at all.
You can prepare for these potential issues by considering possible worst-case scenarios and preparing a response for each scenario. For instance, it is important to plan a backup date just in case your interviewee cannot make it to the first meeting you scheduled with them. It’s also a good idea to factor in a 30-minute gap between your interviews for the instances where someone might be late, or an interview runs overtime for other reasons. Make sure that you also plan backup questions that could be used to bring a respondent back on topic if they start rambling, or questions to encourage those who are saying too little.
In general, it’s best practice to plan to conduct more interviews than you think you need (this is called oversampling ). Doing so will allow you some room for error if there are interviews that don’t go as planned, or if some interviewees withdraw. If you need 10 interviews, it is a good idea to plan for 15. Likely, a few will cancel , delay, or not produce useful data.
5. Not keeping your golden thread front of mind
We touched on this a little earlier, but it is a key point that should be central to your entire research process. You don’t want to end up with pages and pages of data after conducting your interviews and realize that it is not useful to your research aims . Your research aims, objectives and research questions – i.e., your golden thread – should influence every design decision and should guide the interview process at all times.
A useful way to avoid this mistake is by developing an interview guide before you begin interviewing your respondents. An interview guide is a document that contains all of your questions with notes on how each of the interview questions is linked to the research question(s) of your study. You can also include your research aims and objectives here for a more comprehensive linkage.
You can easily create an interview guide by drawing up a table with one column containing your core interview questions . Then add another column with your research questions , another with expectations that you may have in light of the relevant literature and another with backup or follow-up questions . As mentioned, you can also bring in your research aims and objectives to help you connect them all together. If you’d like, you can download a copy of our free interview guide here .
Recap: Qualitative Interview Mistakes
In this post, we’ve discussed 5 common costly mistakes that are easy to make in the process of planning and conducting qualitative interviews.
To recap, these include:
If you have any questions about these interviewing mistakes, drop a comment below. Alternatively, if you’re interested in getting 1-on-1 help with your thesis or dissertation , check out our dissertation coaching service or book a free initial consultation with one of our friendly Grad Coaches.
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How to carry out great interviews in qualitative research.
11 min read An interview is one of the most versatile methods used in qualitative research. Here’s what you need to know about conducting great qualitative interviews.
What is a qualitative research interview?
Qualitative research interviews are a mainstay among q ualitative research techniques, and have been in use for decades either as a primary data collection method or as an adjunct to a wider research process. A qualitative research interview is a one-to-one data collection session between a researcher and a participant. Interviews may be carried out face-to-face, over the phone or via video call using a service like Skype or Zoom.
There are three main types of qualitative research interview – structured, unstructured or semi-structured.
- Structured interviews Structured interviews are based around a schedule of predetermined questions and talking points that the researcher has developed. At their most rigid, structured interviews may have a precise wording and question order, meaning that they can be replicated across many different interviewers and participants with relatively consistent results.
- Unstructured interviews Unstructured interviews have no predetermined format, although that doesn’t mean they’re ad hoc or unplanned. An unstructured interview may outwardly resemble a normal conversation, but the interviewer will in fact be working carefully to make sure the right topics are addressed during the interaction while putting the participant at ease with a natural manner.
- Semi-structured interviews Semi-structured interviews are the most common type of qualitative research interview, combining the informality and rapport of an unstructured interview with the consistency and replicability of a structured interview. The researcher will come prepared with questions and topics, but will not need to stick to precise wording. This blended approach can work well for in-depth interviews.
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What are the pros and cons of interviews in qualitative research?
As a qualitative research method interviewing is hard to beat, with applications in social research, market research, and even basic and clinical pharmacy. But like any aspect of the research process, it’s not without its limitations. Before choosing qualitative interviewing as your research method, it’s worth weighing up the pros and cons.
Pros of qualitative interviews:
- provide in-depth information and context
- can be used effectively when their are low numbers of participants
- provide an opportunity to discuss and explain questions
- useful for complex topics
- rich in data – in the case of in-person or video interviews , the researcher can observe body language and facial expression as well as the answers to questions
Cons of qualitative interviews:
- can be time-consuming to carry out
- costly when compared to some other research methods
- because of time and cost constraints, they often limit you to a small number of participants
- difficult to standardize your data across different researchers and participants unless the interviews are very tightly structured
- As the Open University of Hong Kong notes, qualitative interviews may take an emotional toll on interviewers
Qualitative interview guides
Semi-structured interviews are based on a qualitative interview guide, which acts as a road map for the researcher. While conducting interviews, the researcher can use the interview guide to help them stay focused on their research questions and make sure they cover all the topics they intend to.
An interview guide may include a list of questions written out in full, or it may be a set of bullet points grouped around particular topics. It can prompt the interviewer to dig deeper and ask probing questions during the interview if appropriate.
Consider writing out the project’s research question at the top of your interview guide, ahead of the interview questions. This may help you steer the interview in the right direction if it threatens to head off on a tangent.
Avoid bias in qualitative research interviews
According to Duke University , bias can create significant problems in your qualitative interview.
- Acquiescence bias is common to many qualitative methods, including focus groups. It occurs when the participant feels obliged to say what they think the researcher wants to hear. This can be especially problematic when there is a perceived power imbalance between participant and interviewer. To counteract this, Duke University’s experts recommend emphasizing the participant’s expertise in the subject being discussed, and the value of their contributions.
- Interviewer bias is when the interviewer’s own feelings about the topic come to light through hand gestures, facial expressions or turns of phrase. Duke’s recommendation is to stick to scripted phrases where this is an issue, and to make sure researchers become very familiar with the interview guide or script before conducting interviews, so that they can hone their delivery.
What kinds of questions should you ask in a qualitative interview?
The interview questions you ask need to be carefully considered both before and during the data collection process. As well as considering the topics you’ll cover, you will need to think carefully about the way you ask questions.
Open-ended interview questions – which cannot be answered with a ‘yes’ ‘no’ or ‘maybe’ – are recommended by many researchers as a way to pursue in depth information.
An example of an open-ended question is “What made you want to move to the East Coast?” This will prompt the participant to consider different factors and select at least one. Having thought about it carefully, they may give you more detailed information about their reasoning.
A closed-ended question , such as “Would you recommend your neighborhood to a friend?” can be answered without too much deliberation, and without giving much information about personal thoughts, opinions and feelings.
Follow-up questions can be used to delve deeper into the research topic and to get more detail from open-ended questions. Examples of follow-up questions include:
- What makes you say that?
- What do you mean by that?
- Can you tell me more about X?
- What did/does that mean to you?
As well as avoiding closed-ended questions, be wary of leading questions. As with other qualitative research techniques such as surveys or focus groups, these can introduce bias in your data. Leading questions presume a certain point of view shared by the interviewer and participant, and may even suggest a foregone conclusion.
An example of a leading question might be: “You moved to New York in 1990, didn’t you?” In answering the question, the participant is much more likely to agree than disagree. This may be down to acquiescence bias or a belief that the interviewer has checked the information and already knows the correct answer.
Other leading questions involve adjectival phrases or other wording that introduces negative or positive connotations about a particular topic. An example of this kind of leading question is: “Many employees dislike wearing masks to work. How do you feel about this?” It presumes a positive opinion and the participant may be swayed by it, or not want to contradict the interviewer.
Harvard University’s guidelines for qualitative interview research add that you shouldn’t be afraid to ask embarrassing questions – “if you don’t ask, they won’t tell.” Bear in mind though that too much probing around sensitive topics may cause the interview participant to withdraw. The Harvard guidelines recommend leaving sensitive questions til the later stages of the interview when a rapport has been established.
More tips for conducting qualitative interviews
Observing a participant’s body language can give you important data about their thoughts and feelings. It can also help you decide when to broach a topic, and whether to use a follow-up question or return to the subject later in the interview.
Be conscious that the participant may regard you as the expert, not themselves. In order to make sure they express their opinions openly, use active listening skills like verbal encouragement and paraphrasing and clarifying their meaning to show how much you value what they are saying.
Remember that part of the goal is to leave the interview participant feeling good about volunteering their time and their thought process to your research. Aim to make them feel empowered , respected and heard.
Unstructured interviews can demand a lot of a researcher, both cognitively and emotionally. Be sure to leave time in between in-depth interviews when scheduling your data collection to make sure you maintain the quality of your data, as well as your own well-being .
Recording and transcribing interviews
Historically, recording qualitative research interviews and then transcribing the conversation manually would have represented a significant part of the cost and time involved in research projects that collect qualitative data.
Fortunately, researchers now have access to digital recording tools, and even speech-to-text technology that can automatically transcribe interview data using AI and machine learning. This type of tool can also be used to capture qualitative data from qualitative research (focus groups,ect.) making this kind of social research or market research much less time consuming.
Data analysis
Qualitative interview data is unstructured, rich in content and difficult to analyze without the appropriate tools. Fortunately, machine learning and AI can once again make things faster and easier when you use qualitative methods like the research interview.
Text analysis tools and natural language processing software can ‘read’ your transcripts and voice data and identify patterns and trends across large volumes of text or speech. They can also perform khttps://www.qualtrics.com/experience-management/research/sentiment-analysis/
which assesses overall trends in opinion and provides an unbiased overall summary of how participants are feeling.
Another feature of text analysis tools is their ability to categorize information by topic, sorting it into groupings that help you organize your data according to the topic discussed.
All in all, interviews are a valuable technique for qualitative research in business, yielding rich and detailed unstructured data. Historically, they have only been limited by the human capacity to interpret and communicate results and conclusions, which demands considerable time and skill.
When you combine this data with AI tools that can interpret it quickly and automatically, it becomes easy to analyze and structure, dovetailing perfectly with your other business data. An additional benefit of natural language analysis tools is that they are free of subjective biases, and can replicate the same approach across as much data as you choose. By combining human research skills with machine analysis, qualitative research methods such as interviews are more valuable than ever to your business.
Related resources
Mixed methods research 17 min read, market intelligence 10 min read, marketing insights 11 min read, ethnographic research 11 min read, qualitative vs quantitative research 13 min read, qualitative research questions 11 min read, qualitative research design 11 min read, request demo.
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- Interviews as a Method for Qualitative Research (video) This short video summarizes why interviews can serve as useful data in qualitative research.
- InterViews by Steinar Kvale Interviewing is an essential tool in qualitative research and this introduction to interviewing outlines both the theoretical underpinnings and the practical aspects of the process. After examining the role of the interview in the research process, Steinar Kvale considers some of the key philosophical issues relating to interviewing: the interview as conversation, hermeneutics, phenomenology, concerns about ethics as well as validity, and postmodernism. Having established this framework, the author then analyzes the seven stages of the interview process - from designing a study to writing it up.
- Practical Evaluation by Michael Quinn Patton Surveys different interviewing strategies, from, a) informal/conversational, to b) interview guide approach, to c) standardized and open-ended, to d) closed/quantitative. Also discusses strategies for wording questions that are open-ended, clear, sensitive, and neutral, while supporting the speaker. Provides suggestions for probing and maintaining control of the interview process, as well as suggestions for recording and transcription.
- The SAGE Handbook of Interview Research by Amir B. Marvasti (Editor); James A. Holstein (Editor); Jaber F. Gubrium (Editor); Karyn D. McKinney (Editor) The new edition of this landmark volume emphasizes the dynamic, interactional, and reflexive dimensions of the research interview. Contributors highlight the myriad dimensions of complexity that are emerging as researchers increasingly frame the interview as a communicative opportunity as much as a data-gathering format. The book begins with the history and conceptual transformations of the interview, which is followed by chapters that discuss the main components of interview practice. Taken together, the contributions to The SAGE Handbook of Interview Research: The Complexity of the Craft encourage readers simultaneously to learn the frameworks and technologies of interviewing and to reflect on the epistemological foundations of the interview craft.
- International Congress of Qualitative Inquiry They host an annual confrerence at the University of Illinois at Urbana-Champaign, which aims to facilitate the development of qualitative research methods across a wide variety of academic disciplines, among other initiatives.
- METHODSPACE An online home of the research methods community, where practicing researchers share how to make research easier.
- Social Research Association, UK The SRA is the membership organisation for social researchers in the UK and beyond. It supports researchers via training, guidance, publications, research ethics, events, branches, and careers.
- Social Science Research Council The SSRC administers fellowships and research grants that support the innovation and evaluation of new policy solutions. They convene researchers and stakeholders to share evidence-based policy solutions and incubate new research agendas, produce online knowledge platforms and technical reports that catalog research-based policy solutions, and support mentoring programs that broaden problem-solving research opportunities.
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Chapter 11. Interviewing
Introduction.
Interviewing people is at the heart of qualitative research. It is not merely a way to collect data but an intrinsically rewarding activity—an interaction between two people that holds the potential for greater understanding and interpersonal development. Unlike many of our daily interactions with others that are fairly shallow and mundane, sitting down with a person for an hour or two and really listening to what they have to say is a profound and deep enterprise, one that can provide not only “data” for you, the interviewer, but also self-understanding and a feeling of being heard for the interviewee. I always approach interviewing with a deep appreciation for the opportunity it gives me to understand how other people experience the world. That said, there is not one kind of interview but many, and some of these are shallower than others. This chapter will provide you with an overview of interview techniques but with a special focus on the in-depth semistructured interview guide approach, which is the approach most widely used in social science research.
An interview can be variously defined as “a conversation with a purpose” ( Lune and Berg 2018 ) and an attempt to understand the world from the point of view of the person being interviewed: “to unfold the meaning of peoples’ experiences, to uncover their lived world prior to scientific explanations” ( Kvale 2007 ). It is a form of active listening in which the interviewer steers the conversation to subjects and topics of interest to their research but also manages to leave enough space for those interviewed to say surprising things. Achieving that balance is a tricky thing, which is why most practitioners believe interviewing is both an art and a science. In my experience as a teacher, there are some students who are “natural” interviewers (often they are introverts), but anyone can learn to conduct interviews, and everyone, even those of us who have been doing this for years, can improve their interviewing skills. This might be a good time to highlight the fact that the interview is a product between interviewer and interviewee and that this product is only as good as the rapport established between the two participants. Active listening is the key to establishing this necessary rapport.
Patton ( 2002 ) makes the argument that we use interviews because there are certain things that are not observable. In particular, “we cannot observe feelings, thoughts, and intentions. We cannot observe behaviors that took place at some previous point in time. We cannot observe situations that preclude the presence of an observer. We cannot observe how people have organized the world and the meanings they attach to what goes on in the world. We have to ask people questions about those things” ( 341 ).
Types of Interviews
There are several distinct types of interviews. Imagine a continuum (figure 11.1). On one side are unstructured conversations—the kind you have with your friends. No one is in control of those conversations, and what you talk about is often random—whatever pops into your head. There is no secret, underlying purpose to your talking—if anything, the purpose is to talk to and engage with each other, and the words you use and the things you talk about are a little beside the point. An unstructured interview is a little like this informal conversation, except that one of the parties to the conversation (you, the researcher) does have an underlying purpose, and that is to understand the other person. You are not friends speaking for no purpose, but it might feel just as unstructured to the “interviewee” in this scenario. That is one side of the continuum. On the other side are fully structured and standardized survey-type questions asked face-to-face. Here it is very clear who is asking the questions and who is answering them. This doesn’t feel like a conversation at all! A lot of people new to interviewing have this ( erroneously !) in mind when they think about interviews as data collection. Somewhere in the middle of these two extreme cases is the “ semistructured” interview , in which the researcher uses an “interview guide” to gently move the conversation to certain topics and issues. This is the primary form of interviewing for qualitative social scientists and will be what I refer to as interviewing for the rest of this chapter, unless otherwise specified.
Informal (unstructured conversations). This is the most “open-ended” approach to interviewing. It is particularly useful in conjunction with observational methods (see chapters 13 and 14). There are no predetermined questions. Each interview will be different. Imagine you are researching the Oregon Country Fair, an annual event in Veneta, Oregon, that includes live music, artisan craft booths, face painting, and a lot of people walking through forest paths. It’s unlikely that you will be able to get a person to sit down with you and talk intensely about a set of questions for an hour and a half. But you might be able to sidle up to several people and engage with them about their experiences at the fair. You might have a general interest in what attracts people to these events, so you could start a conversation by asking strangers why they are here or why they come back every year. That’s it. Then you have a conversation that may lead you anywhere. Maybe one person tells a long story about how their parents brought them here when they were a kid. A second person talks about how this is better than Burning Man. A third person shares their favorite traveling band. And yet another enthuses about the public library in the woods. During your conversations, you also talk about a lot of other things—the weather, the utilikilts for sale, the fact that a favorite food booth has disappeared. It’s all good. You may not be able to record these conversations. Instead, you might jot down notes on the spot and then, when you have the time, write down as much as you can remember about the conversations in long fieldnotes. Later, you will have to sit down with these fieldnotes and try to make sense of all the information (see chapters 18 and 19).
Interview guide ( semistructured interview ). This is the primary type employed by social science qualitative researchers. The researcher creates an “interview guide” in advance, which she uses in every interview. In theory, every person interviewed is asked the same questions. In practice, every person interviewed is asked mostly the same topics but not always the same questions, as the whole point of a “guide” is that it guides the direction of the conversation but does not command it. The guide is typically between five and ten questions or question areas, sometimes with suggested follow-ups or prompts . For example, one question might be “What was it like growing up in Eastern Oregon?” with prompts such as “Did you live in a rural area? What kind of high school did you attend?” to help the conversation develop. These interviews generally take place in a quiet place (not a busy walkway during a festival) and are recorded. The recordings are transcribed, and those transcriptions then become the “data” that is analyzed (see chapters 18 and 19). The conventional length of one of these types of interviews is between one hour and two hours, optimally ninety minutes. Less than one hour doesn’t allow for much development of questions and thoughts, and two hours (or more) is a lot of time to ask someone to sit still and answer questions. If you have a lot of ground to cover, and the person is willing, I highly recommend two separate interview sessions, with the second session being slightly shorter than the first (e.g., ninety minutes the first day, sixty minutes the second). There are lots of good reasons for this, but the most compelling one is that this allows you to listen to the first day’s recording and catch anything interesting you might have missed in the moment and so develop follow-up questions that can probe further. This also allows the person being interviewed to have some time to think about the issues raised in the interview and go a little deeper with their answers.
Standardized questionnaire with open responses ( structured interview ). This is the type of interview a lot of people have in mind when they hear “interview”: a researcher comes to your door with a clipboard and proceeds to ask you a series of questions. These questions are all the same whoever answers the door; they are “standardized.” Both the wording and the exact order are important, as people’s responses may vary depending on how and when a question is asked. These are qualitative only in that the questions allow for “open-ended responses”: people can say whatever they want rather than select from a predetermined menu of responses. For example, a survey I collaborated on included this open-ended response question: “How does class affect one’s career success in sociology?” Some of the answers were simply one word long (e.g., “debt”), and others were long statements with stories and personal anecdotes. It is possible to be surprised by the responses. Although it’s a stretch to call this kind of questioning a conversation, it does allow the person answering the question some degree of freedom in how they answer.
Survey questionnaire with closed responses (not an interview!). Standardized survey questions with specific answer options (e.g., closed responses) are not really interviews at all, and they do not generate qualitative data. For example, if we included five options for the question “How does class affect one’s career success in sociology?”—(1) debt, (2) social networks, (3) alienation, (4) family doesn’t understand, (5) type of grad program—we leave no room for surprises at all. Instead, we would most likely look at patterns around these responses, thinking quantitatively rather than qualitatively (e.g., using regression analysis techniques, we might find that working-class sociologists were twice as likely to bring up alienation). It can sometimes be confusing for new students because the very same survey can include both closed-ended and open-ended questions. The key is to think about how these will be analyzed and to what level surprises are possible. If your plan is to turn all responses into a number and make predictions about correlations and relationships, you are no longer conducting qualitative research. This is true even if you are conducting this survey face-to-face with a real live human. Closed-response questions are not conversations of any kind, purposeful or not.
In summary, the semistructured interview guide approach is the predominant form of interviewing for social science qualitative researchers because it allows a high degree of freedom of responses from those interviewed (thus allowing for novel discoveries) while still maintaining some connection to a research question area or topic of interest. The rest of the chapter assumes the employment of this form.
Creating an Interview Guide
Your interview guide is the instrument used to bridge your research question(s) and what the people you are interviewing want to tell you. Unlike a standardized questionnaire, the questions actually asked do not need to be exactly what you have written down in your guide. The guide is meant to create space for those you are interviewing to talk about the phenomenon of interest, but sometimes you are not even sure what that phenomenon is until you start asking questions. A priority in creating an interview guide is to ensure it offers space. One of the worst mistakes is to create questions that are so specific that the person answering them will not stray. Relatedly, questions that sound “academic” will shut down a lot of respondents. A good interview guide invites respondents to talk about what is important to them, not feel like they are performing or being evaluated by you.
Good interview questions should not sound like your “research question” at all. For example, let’s say your research question is “How do patriarchal assumptions influence men’s understanding of climate change and responses to climate change?” It would be worse than unhelpful to ask a respondent, “How do your assumptions about the role of men affect your understanding of climate change?” You need to unpack this into manageable nuggets that pull your respondent into the area of interest without leading him anywhere. You could start by asking him what he thinks about climate change in general. Or, even better, whether he has any concerns about heatwaves or increased tornadoes or polar icecaps melting. Once he starts talking about that, you can ask follow-up questions that bring in issues around gendered roles, perhaps asking if he is married (to a woman) and whether his wife shares his thoughts and, if not, how they negotiate that difference. The fact is, you won’t really know the right questions to ask until he starts talking.
There are several distinct types of questions that can be used in your interview guide, either as main questions or as follow-up probes. If you remember that the point is to leave space for the respondent, you will craft a much more effective interview guide! You will also want to think about the place of time in both the questions themselves (past, present, future orientations) and the sequencing of the questions.
Researcher Note
Suggestion : As you read the next three sections (types of questions, temporality, question sequence), have in mind a particular research question, and try to draft questions and sequence them in a way that opens space for a discussion that helps you answer your research question.
Type of Questions
Experience and behavior questions ask about what a respondent does regularly (their behavior) or has done (their experience). These are relatively easy questions for people to answer because they appear more “factual” and less subjective. This makes them good opening questions. For the study on climate change above, you might ask, “Have you ever experienced an unusual weather event? What happened?” Or “You said you work outside? What is a typical summer workday like for you? How do you protect yourself from the heat?”
Opinion and values questions , in contrast, ask questions that get inside the minds of those you are interviewing. “Do you think climate change is real? Who or what is responsible for it?” are two such questions. Note that you don’t have to literally ask, “What is your opinion of X?” but you can find a way to ask the specific question relevant to the conversation you are having. These questions are a bit trickier to ask because the answers you get may depend in part on how your respondent perceives you and whether they want to please you or not. We’ve talked a fair amount about being reflective. Here is another place where this comes into play. You need to be aware of the effect your presence might have on the answers you are receiving and adjust accordingly. If you are a woman who is perceived as liberal asking a man who identifies as conservative about climate change, there is a lot of subtext that can be going on in the interview. There is no one right way to resolve this, but you must at least be aware of it.
Feeling questions are questions that ask respondents to draw on their emotional responses. It’s pretty common for academic researchers to forget that we have bodies and emotions, but people’s understandings of the world often operate at this affective level, sometimes unconsciously or barely consciously. It is a good idea to include questions that leave space for respondents to remember, imagine, or relive emotional responses to particular phenomena. “What was it like when you heard your cousin’s house burned down in that wildfire?” doesn’t explicitly use any emotion words, but it allows your respondent to remember what was probably a pretty emotional day. And if they respond emotionally neutral, that is pretty interesting data too. Note that asking someone “How do you feel about X” is not always going to evoke an emotional response, as they might simply turn around and respond with “I think that…” It is better to craft a question that actually pushes the respondent into the affective category. This might be a specific follow-up to an experience and behavior question —for example, “You just told me about your daily routine during the summer heat. Do you worry it is going to get worse?” or “Have you ever been afraid it will be too hot to get your work accomplished?”
Knowledge questions ask respondents what they actually know about something factual. We have to be careful when we ask these types of questions so that respondents do not feel like we are evaluating them (which would shut them down), but, for example, it is helpful to know when you are having a conversation about climate change that your respondent does in fact know that unusual weather events have increased and that these have been attributed to climate change! Asking these questions can set the stage for deeper questions and can ensure that the conversation makes the same kind of sense to both participants. For example, a conversation about political polarization can be put back on track once you realize that the respondent doesn’t really have a clear understanding that there are two parties in the US. Instead of asking a series of questions about Republicans and Democrats, you might shift your questions to talk more generally about political disagreements (e.g., “people against abortion”). And sometimes what you do want to know is the level of knowledge about a particular program or event (e.g., “Are you aware you can discharge your student loans through the Public Service Loan Forgiveness program?”).
Sensory questions call on all senses of the respondent to capture deeper responses. These are particularly helpful in sparking memory. “Think back to your childhood in Eastern Oregon. Describe the smells, the sounds…” Or you could use these questions to help a person access the full experience of a setting they customarily inhabit: “When you walk through the doors to your office building, what do you see? Hear? Smell?” As with feeling questions , these questions often supplement experience and behavior questions . They are another way of allowing your respondent to report fully and deeply rather than remain on the surface.
Creative questions employ illustrative examples, suggested scenarios, or simulations to get respondents to think more deeply about an issue, topic, or experience. There are many options here. In The Trouble with Passion , Erin Cech ( 2021 ) provides a scenario in which “Joe” is trying to decide whether to stay at his decent but boring computer job or follow his passion by opening a restaurant. She asks respondents, “What should Joe do?” Their answers illuminate the attraction of “passion” in job selection. In my own work, I have used a news story about an upwardly mobile young man who no longer has time to see his mother and sisters to probe respondents’ feelings about the costs of social mobility. Jessi Streib and Betsy Leondar-Wright have used single-page cartoon “scenes” to elicit evaluations of potential racial discrimination, sexual harassment, and classism. Barbara Sutton ( 2010 ) has employed lists of words (“strong,” “mother,” “victim”) on notecards she fans out and asks her female respondents to select and discuss.
Background/Demographic Questions
You most definitely will want to know more about the person you are interviewing in terms of conventional demographic information, such as age, race, gender identity, occupation, and educational attainment. These are not questions that normally open up inquiry. [1] For this reason, my practice has been to include a separate “demographic questionnaire” sheet that I ask each respondent to fill out at the conclusion of the interview. Only include those aspects that are relevant to your study. For example, if you are not exploring religion or religious affiliation, do not include questions about a person’s religion on the demographic sheet. See the example provided at the end of this chapter.
Temporality
Any type of question can have a past, present, or future orientation. For example, if you are asking a behavior question about workplace routine, you might ask the respondent to talk about past work, present work, and ideal (future) work. Similarly, if you want to understand how people cope with natural disasters, you might ask your respondent how they felt then during the wildfire and now in retrospect and whether and to what extent they have concerns for future wildfire disasters. It’s a relatively simple suggestion—don’t forget to ask about past, present, and future—but it can have a big impact on the quality of the responses you receive.
Question Sequence
Having a list of good questions or good question areas is not enough to make a good interview guide. You will want to pay attention to the order in which you ask your questions. Even though any one respondent can derail this order (perhaps by jumping to answer a question you haven’t yet asked), a good advance plan is always helpful. When thinking about sequence, remember that your goal is to get your respondent to open up to you and to say things that might surprise you. To establish rapport, it is best to start with nonthreatening questions. Asking about the present is often the safest place to begin, followed by the past (they have to know you a little bit to get there), and lastly, the future (talking about hopes and fears requires the most rapport). To allow for surprises, it is best to move from very general questions to more particular questions only later in the interview. This ensures that respondents have the freedom to bring up the topics that are relevant to them rather than feel like they are constrained to answer you narrowly. For example, refrain from asking about particular emotions until these have come up previously—don’t lead with them. Often, your more particular questions will emerge only during the course of the interview, tailored to what is emerging in conversation.
Once you have a set of questions, read through them aloud and imagine you are being asked the same questions. Does the set of questions have a natural flow? Would you be willing to answer the very first question to a total stranger? Does your sequence establish facts and experiences before moving on to opinions and values? Did you include prefatory statements, where necessary; transitions; and other announcements? These can be as simple as “Hey, we talked a lot about your experiences as a barista while in college.… Now I am turning to something completely different: how you managed friendships in college.” That is an abrupt transition, but it has been softened by your acknowledgment of that.
Probes and Flexibility
Once you have the interview guide, you will also want to leave room for probes and follow-up questions. As in the sample probe included here, you can write out the obvious probes and follow-up questions in advance. You might not need them, as your respondent might anticipate them and include full responses to the original question. Or you might need to tailor them to how your respondent answered the question. Some common probes and follow-up questions include asking for more details (When did that happen? Who else was there?), asking for elaboration (Could you say more about that?), asking for clarification (Does that mean what I think it means or something else? I understand what you mean, but someone else reading the transcript might not), and asking for contrast or comparison (How did this experience compare with last year’s event?). “Probing is a skill that comes from knowing what to look for in the interview, listening carefully to what is being said and what is not said, and being sensitive to the feedback needs of the person being interviewed” ( Patton 2002:374 ). It takes work! And energy. I and many other interviewers I know report feeling emotionally and even physically drained after conducting an interview. You are tasked with active listening and rearranging your interview guide as needed on the fly. If you only ask the questions written down in your interview guide with no deviations, you are doing it wrong. [2]
The Final Question
Every interview guide should include a very open-ended final question that allows for the respondent to say whatever it is they have been dying to tell you but you’ve forgotten to ask. About half the time they are tired too and will tell you they have nothing else to say. But incredibly, some of the most honest and complete responses take place here, at the end of a long interview. You have to realize that the person being interviewed is often discovering things about themselves as they talk to you and that this process of discovery can lead to new insights for them. Making space at the end is therefore crucial. Be sure you convey that you actually do want them to tell you more, that the offer of “anything else?” is not read as an empty convention where the polite response is no. Here is where you can pull from that active listening and tailor the final question to the particular person. For example, “I’ve asked you a lot of questions about what it was like to live through that wildfire. I’m wondering if there is anything I’ve forgotten to ask, especially because I haven’t had that experience myself” is a much more inviting final question than “Great. Anything you want to add?” It’s also helpful to convey to the person that you have the time to listen to their full answer, even if the allotted time is at the end. After all, there are no more questions to ask, so the respondent knows exactly how much time is left. Do them the courtesy of listening to them!
Conducting the Interview
Once you have your interview guide, you are on your way to conducting your first interview. I always practice my interview guide with a friend or family member. I do this even when the questions don’t make perfect sense for them, as it still helps me realize which questions make no sense, are poorly worded (too academic), or don’t follow sequentially. I also practice the routine I will use for interviewing, which goes something like this:
- Introduce myself and reintroduce the study
- Provide consent form and ask them to sign and retain/return copy
- Ask if they have any questions about the study before we begin
- Ask if I can begin recording
- Ask questions (from interview guide)
- Turn off the recording device
- Ask if they are willing to fill out my demographic questionnaire
- Collect questionnaire and, without looking at the answers, place in same folder as signed consent form
- Thank them and depart
A note on remote interviewing: Interviews have traditionally been conducted face-to-face in a private or quiet public setting. You don’t want a lot of background noise, as this will make transcriptions difficult. During the recent global pandemic, many interviewers, myself included, learned the benefits of interviewing remotely. Although face-to-face is still preferable for many reasons, Zoom interviewing is not a bad alternative, and it does allow more interviews across great distances. Zoom also includes automatic transcription, which significantly cuts down on the time it normally takes to convert our conversations into “data” to be analyzed. These automatic transcriptions are not perfect, however, and you will still need to listen to the recording and clarify and clean up the transcription. Nor do automatic transcriptions include notations of body language or change of tone, which you may want to include. When interviewing remotely, you will want to collect the consent form before you meet: ask them to read, sign, and return it as an email attachment. I think it is better to ask for the demographic questionnaire after the interview, but because some respondents may never return it then, it is probably best to ask for this at the same time as the consent form, in advance of the interview.
What should you bring to the interview? I would recommend bringing two copies of the consent form (one for you and one for the respondent), a demographic questionnaire, a manila folder in which to place the signed consent form and filled-out demographic questionnaire, a printed copy of your interview guide (I print with three-inch right margins so I can jot down notes on the page next to relevant questions), a pen, a recording device, and water.
After the interview, you will want to secure the signed consent form in a locked filing cabinet (if in print) or a password-protected folder on your computer. Using Excel or a similar program that allows tables/spreadsheets, create an identifying number for your interview that links to the consent form without using the name of your respondent. For example, let’s say that I conduct interviews with US politicians, and the first person I meet with is George W. Bush. I will assign the transcription the number “INT#001” and add it to the signed consent form. [3] The signed consent form goes into a locked filing cabinet, and I never use the name “George W. Bush” again. I take the information from the demographic sheet, open my Excel spreadsheet, and add the relevant information in separate columns for the row INT#001: White, male, Republican. When I interview Bill Clinton as my second interview, I include a second row: INT#002: White, male, Democrat. And so on. The only link to the actual name of the respondent and this information is the fact that the consent form (unavailable to anyone but me) has stamped on it the interview number.
Many students get very nervous before their first interview. Actually, many of us are always nervous before the interview! But do not worry—this is normal, and it does pass. Chances are, you will be pleasantly surprised at how comfortable it begins to feel. These “purposeful conversations” are often a delight for both participants. This is not to say that sometimes things go wrong. I often have my students practice several “bad scenarios” (e.g., a respondent that you cannot get to open up; a respondent who is too talkative and dominates the conversation, steering it away from the topics you are interested in; emotions that completely take over; or shocking disclosures you are ill-prepared to handle), but most of the time, things go quite well. Be prepared for the unexpected, but know that the reason interviews are so popular as a technique of data collection is that they are usually richly rewarding for both participants.
One thing that I stress to my methods students and remind myself about is that interviews are still conversations between people. If there’s something you might feel uncomfortable asking someone about in a “normal” conversation, you will likely also feel a bit of discomfort asking it in an interview. Maybe more importantly, your respondent may feel uncomfortable. Social research—especially about inequality—can be uncomfortable. And it’s easy to slip into an abstract, intellectualized, or removed perspective as an interviewer. This is one reason trying out interview questions is important. Another is that sometimes the question sounds good in your head but doesn’t work as well out loud in practice. I learned this the hard way when a respondent asked me how I would answer the question I had just posed, and I realized that not only did I not really know how I would answer it, but I also wasn’t quite as sure I knew what I was asking as I had thought.
—Elizabeth M. Lee, Associate Professor of Sociology at Saint Joseph’s University, author of Class and Campus Life , and co-author of Geographies of Campus Inequality
How Many Interviews?
Your research design has included a targeted number of interviews and a recruitment plan (see chapter 5). Follow your plan, but remember that “ saturation ” is your goal. You interview as many people as you can until you reach a point at which you are no longer surprised by what they tell you. This means not that no one after your first twenty interviews will have surprising, interesting stories to tell you but rather that the picture you are forming about the phenomenon of interest to you from a research perspective has come into focus, and none of the interviews are substantially refocusing that picture. That is when you should stop collecting interviews. Note that to know when you have reached this, you will need to read your transcripts as you go. More about this in chapters 18 and 19.
Your Final Product: The Ideal Interview Transcript
A good interview transcript will demonstrate a subtly controlled conversation by the skillful interviewer. In general, you want to see replies that are about one paragraph long, not short sentences and not running on for several pages. Although it is sometimes necessary to follow respondents down tangents, it is also often necessary to pull them back to the questions that form the basis of your research study. This is not really a free conversation, although it may feel like that to the person you are interviewing.
Final Tips from an Interview Master
Annette Lareau is arguably one of the masters of the trade. In Listening to People , she provides several guidelines for good interviews and then offers a detailed example of an interview gone wrong and how it could be addressed (please see the “Further Readings” at the end of this chapter). Here is an abbreviated version of her set of guidelines: (1) interview respondents who are experts on the subjects of most interest to you (as a corollary, don’t ask people about things they don’t know); (2) listen carefully and talk as little as possible; (3) keep in mind what you want to know and why you want to know it; (4) be a proactive interviewer (subtly guide the conversation); (5) assure respondents that there aren’t any right or wrong answers; (6) use the respondent’s own words to probe further (this both allows you to accurately identify what you heard and pushes the respondent to explain further); (7) reuse effective probes (don’t reinvent the wheel as you go—if repeating the words back works, do it again and again); (8) focus on learning the subjective meanings that events or experiences have for a respondent; (9) don’t be afraid to ask a question that draws on your own knowledge (unlike trial lawyers who are trained never to ask a question for which they don’t already know the answer, sometimes it’s worth it to ask risky questions based on your hypotheses or just plain hunches); (10) keep thinking while you are listening (so difficult…and important); (11) return to a theme raised by a respondent if you want further information; (12) be mindful of power inequalities (and never ever coerce a respondent to continue the interview if they want out); (13) take control with overly talkative respondents; (14) expect overly succinct responses, and develop strategies for probing further; (15) balance digging deep and moving on; (16) develop a plan to deflect questions (e.g., let them know you are happy to answer any questions at the end of the interview, but you don’t want to take time away from them now); and at the end, (17) check to see whether you have asked all your questions. You don’t always have to ask everyone the same set of questions, but if there is a big area you have forgotten to cover, now is the time to recover ( Lareau 2021:93–103 ).
Sample: Demographic Questionnaire
ASA Taskforce on First-Generation and Working-Class Persons in Sociology – Class Effects on Career Success
Supplementary Demographic Questionnaire
Thank you for your participation in this interview project. We would like to collect a few pieces of key demographic information from you to supplement our analyses. Your answers to these questions will be kept confidential and stored by ID number. All of your responses here are entirely voluntary!
What best captures your race/ethnicity? (please check any/all that apply)
- White (Non Hispanic/Latina/o/x)
- Black or African American
- Hispanic, Latino/a/x of Spanish
- Asian or Asian American
- American Indian or Alaska Native
- Middle Eastern or North African
- Native Hawaiian or Pacific Islander
- Other : (Please write in: ________________)
What is your current position?
- Grad Student
- Full Professor
Please check any and all of the following that apply to you:
- I identify as a working-class academic
- I was the first in my family to graduate from college
- I grew up poor
What best reflects your gender?
- Transgender female/Transgender woman
- Transgender male/Transgender man
- Gender queer/ Gender nonconforming
Anything else you would like us to know about you?
Example: Interview Guide
In this example, follow-up prompts are italicized. Note the sequence of questions. That second question often elicits an entire life history , answering several later questions in advance.
Introduction Script/Question
Thank you for participating in our survey of ASA members who identify as first-generation or working-class. As you may have heard, ASA has sponsored a taskforce on first-generation and working-class persons in sociology and we are interested in hearing from those who so identify. Your participation in this interview will help advance our knowledge in this area.
- The first thing we would like to as you is why you have volunteered to be part of this study? What does it mean to you be first-gen or working class? Why were you willing to be interviewed?
- How did you decide to become a sociologist?
- Can you tell me a little bit about where you grew up? ( prompts: what did your parent(s) do for a living? What kind of high school did you attend?)
- Has this identity been salient to your experience? (how? How much?)
- How welcoming was your grad program? Your first academic employer?
- Why did you decide to pursue sociology at the graduate level?
- Did you experience culture shock in college? In graduate school?
- Has your FGWC status shaped how you’ve thought about where you went to school? debt? etc?
- Were you mentored? How did this work (not work)? How might it?
- What did you consider when deciding where to go to grad school? Where to apply for your first position?
- What, to you, is a mark of career success? Have you achieved that success? What has helped or hindered your pursuit of success?
- Do you think sociology, as a field, cares about prestige?
- Let’s talk a little bit about intersectionality. How does being first-gen/working class work alongside other identities that are important to you?
- What do your friends and family think about your career? Have you had any difficulty relating to family members or past friends since becoming highly educated?
- Do you have any debt from college/grad school? Are you concerned about this? Could you explain more about how you paid for college/grad school? (here, include assistance from family, fellowships, scholarships, etc.)
- (You’ve mentioned issues or obstacles you had because of your background.) What could have helped? Or, who or what did? Can you think of fortuitous moments in your career?
- Do you have any regrets about the path you took?
- Is there anything else you would like to add? Anything that the Taskforce should take note of, that we did not ask you about here?
Further Readings
Britten, Nicky. 1995. “Qualitative Interviews in Medical Research.” BMJ: British Medical Journal 31(6999):251–253. A good basic overview of interviewing particularly useful for students of public health and medical research generally.
Corbin, Juliet, and Janice M. Morse. 2003. “The Unstructured Interactive Interview: Issues of Reciprocity and Risks When Dealing with Sensitive Topics.” Qualitative Inquiry 9(3):335–354. Weighs the potential benefits and harms of conducting interviews on topics that may cause emotional distress. Argues that the researcher’s skills and code of ethics should ensure that the interviewing process provides more of a benefit to both participant and researcher than a harm to the former.
Gerson, Kathleen, and Sarah Damaske. 2020. The Science and Art of Interviewing . New York: Oxford University Press. A useful guidebook/textbook for both undergraduates and graduate students, written by sociologists.
Kvale, Steiner. 2007. Doing Interviews . London: SAGE. An easy-to-follow guide to conducting and analyzing interviews by psychologists.
Lamont, Michèle, and Ann Swidler. 2014. “Methodological Pluralism and the Possibilities and Limits of Interviewing.” Qualitative Sociology 37(2):153–171. Written as a response to various debates surrounding the relative value of interview-based studies and ethnographic studies defending the particular strengths of interviewing. This is a must-read article for anyone seriously engaging in qualitative research!
Pugh, Allison J. 2013. “What Good Are Interviews for Thinking about Culture? Demystifying Interpretive Analysis.” American Journal of Cultural Sociology 1(1):42–68. Another defense of interviewing written against those who champion ethnographic methods as superior, particularly in the area of studying culture. A classic.
Rapley, Timothy John. 2001. “The ‘Artfulness’ of Open-Ended Interviewing: Some considerations in analyzing interviews.” Qualitative Research 1(3):303–323. Argues for the importance of “local context” of data production (the relationship built between interviewer and interviewee, for example) in properly analyzing interview data.
Weiss, Robert S. 1995. Learning from Strangers: The Art and Method of Qualitative Interview Studies . New York: Simon and Schuster. A classic and well-regarded textbook on interviewing. Because Weiss has extensive experience conducting surveys, he contrasts the qualitative interview with the survey questionnaire well; particularly useful for those trained in the latter.
- I say “normally” because how people understand their various identities can itself be an expansive topic of inquiry. Here, I am merely talking about collecting otherwise unexamined demographic data, similar to how we ask people to check boxes on surveys. ↵
- Again, this applies to “semistructured in-depth interviewing.” When conducting standardized questionnaires, you will want to ask each question exactly as written, without deviations! ↵
- I always include “INT” in the number because I sometimes have other kinds of data with their own numbering: FG#001 would mean the first focus group, for example. I also always include three-digit spaces, as this allows for up to 999 interviews (or, more realistically, allows for me to interview up to one hundred persons without having to reset my numbering system). ↵
A method of data collection in which the researcher asks the participant questions; the answers to these questions are often recorded and transcribed verbatim. There are many different kinds of interviews - see also semistructured interview , structured interview , and unstructured interview .
A document listing key questions and question areas for use during an interview. It is used most often for semi-structured interviews. A good interview guide may have no more than ten primary questions for two hours of interviewing, but these ten questions will be supplemented by probes and relevant follow-ups throughout the interview. Most IRBs require the inclusion of the interview guide in applications for review. See also interview and semi-structured interview .
A data-collection method that relies on casual, conversational, and informal interviewing. Despite its apparent conversational nature, the researcher usually has a set of particular questions or question areas in mind but allows the interview to unfold spontaneously. This is a common data-collection technique among ethnographers. Compare to the semi-structured or in-depth interview .
A form of interview that follows a standard guide of questions asked, although the order of the questions may change to match the particular needs of each individual interview subject, and probing “follow-up” questions are often added during the course of the interview. The semi-structured interview is the primary form of interviewing used by qualitative researchers in the social sciences. It is sometimes referred to as an “in-depth” interview. See also interview and interview guide .
The cluster of data-collection tools and techniques that involve observing interactions between people, the behaviors, and practices of individuals (sometimes in contrast to what they say about how they act and behave), and cultures in context. Observational methods are the key tools employed by ethnographers and Grounded Theory .
Follow-up questions used in a semi-structured interview to elicit further elaboration. Suggested prompts can be included in the interview guide to be used/deployed depending on how the initial question was answered or if the topic of the prompt does not emerge spontaneously.
A form of interview that follows a strict set of questions, asked in a particular order, for all interview subjects. The questions are also the kind that elicits short answers, and the data is more “informative” than probing. This is often used in mixed-methods studies, accompanying a survey instrument. Because there is no room for nuance or the exploration of meaning in structured interviews, qualitative researchers tend to employ semi-structured interviews instead. See also interview.
The point at which you can conclude data collection because every person you are interviewing, the interaction you are observing, or content you are analyzing merely confirms what you have already noted. Achieving saturation is often used as the justification for the final sample size.
An interview variant in which a person’s life story is elicited in a narrative form. Turning points and key themes are established by the researcher and used as data points for further analysis.
Introduction to Qualitative Research Methods Copyright © 2023 by Allison Hurst is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License , except where otherwise noted.
Interviews can be defined as a qualitative research technique which involves “conducting intensive individual interviews with a small number of respondents to explore their perspectives on a particular idea, program or situation.” [1]
There are three different formats of interviews: structured, semi-structured and unstructured.
Structured interviews consist of a series of pre-determined questions that all interviewees answer in the same order. Data analysis usually tends to be more straightforward because researcher can compare and contrast different answers given to the same questions.
Unstructured interviews are usually the least reliable from research viewpoint, because no questions are prepared prior to the interview and data collection is conducted in an informal manner. Unstructured interviews can be associated with a high level of bias and comparison of answers given by different respondents tends to be difficult due to the differences in formulation of questions.
Semi-structured interviews contain the components of both, structured and unstructured interviews. In semi-structured interviews, interviewer prepares a set of same questions to be answered by all interviewees. At the same time, additional questions might be asked during interviews to clarify and/or further expand certain issues.
Advantages of interviews include possibilities of collecting detailed information about research questions. Moreover, in in this type of primary data collection researcher has direct control over the flow of process and she has a chance to clarify certain issues during the process if needed. Disadvantages, on the other hand, include longer time requirements and difficulties associated with arranging an appropriate time with perspective sample group members to conduct interviews.
When conducting interviews you should have an open mind and refrain from displaying disagreements in any forms when viewpoints expressed by interviewees contradict your own ideas. Moreover, timing and environment for interviews need to be scheduled effectively. Specifically, interviews need to be conducted in a relaxed environment, free of any forms of pressure for interviewees whatsoever.
Respected scholars warn that “in conducting an interview the interviewer should attempt to create a friendly, non-threatening atmosphere. Much as one does with a cover letter, the interviewer should give a brief, casual introduction to the study; stress the importance of the person’s participation; and assure anonymity, or at least confidentiality, when possible.” [2]
There is a risk of interviewee bias during the primary data collection process and this would seriously compromise the validity of the project findings. Some interviewer bias can be avoided by ensuring that the interviewer does not overreact to responses of the interviewee. Other steps that can be taken to help avoid or reduce interviewer bias include having the interviewer dress inconspicuously and appropriately for the environment and holding the interview in a private setting. [3]
My e-book, The Ultimate Guide to Writing a Dissertation in Business Studies: a step by step assistance offers practical assistance to complete a dissertation with minimum or no stress. The e-book covers all stages of writing a dissertation starting from the selection to the research area to submitting the completed version of the work within the deadline.John Dudovskiy
[1] Boyce, C. & Neale, P. (2006) “Conducting in-depth Interviews: A Guide for Designing and Conducting In-Depth Interviews”, Pathfinder International Tool Series
[2] Connaway, L.S.& Powell, R.P.(2010) “Basic Research Methods for Librarians” ABC-CLIO
[3] Connaway, L.S.& Powell, R.P.(2010) “Basic Research Methods for Librarians” ABC-CLIO
Qualitative Interviewing
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- First Online: 13 January 2019
- Cite this reference work entry
- Sally Nathan 2 ,
- Christy Newman 3 &
- Kari Lancaster 3
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Qualitative interviewing is a foundational method in qualitative research and is widely used in health research and the social sciences. Both qualitative semi-structured and in-depth unstructured interviews use verbal communication, mostly in face-to-face interactions, to collect data about the attitudes, beliefs, and experiences of participants. Interviews are an accessible, often affordable, and effective method to understand the socially situated world of research participants. The approach is typically informed by an interpretive framework where the data collected is not viewed as evidence of the truth or reality of a situation or experience but rather a context-bound subjective insight from the participants. The researcher needs to be open to new insights and to privilege the participant’s experience in data collection. The data from qualitative interviews is not generalizable, but its exploratory nature permits the collection of rich data which can answer questions about which little is already known. This chapter introduces the reader to qualitative interviewing, the range of traditions within which interviewing is utilized as a method, and highlights the advantages and some of the challenges and misconceptions in its application. The chapter also provides practical guidance on planning and conducting interview studies. Three case examples are presented to highlight the benefits and risks in the use of interviewing with different participants, providing situated insights as well as advice about how to go about learning to interview if you are a novice.
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Chapter 13: Interviews
Danielle Berkovic
Learning outcomes
Upon completion of this chapter, you should be able to:
- Understand when to use interviews in qualitative research.
- Develop interview questions for an interview guide.
- Understand how to conduct an interview.
What are interviews?
An interviewing method is the most commonly used data collection technique in qualitative research. 1 The purpose of an interview is to explore the experiences, understandings, opinions and motivations of research participants. 2 Interviews are conducted one-on-one with the researcher and the participant. Interviews are most appropriate when seeking to understand a participant’s subjective view of an experience and are also considered suitable for the exploration of sensitive topics.
What are the different types of interviews?
There are four main types of interviews:
- Key stakeholder: A key stakeholder interview aims to explore one issue in detail with a person of interest or importance concerning the research topic. 3 Key stakeholder interviews seek the views of experts on some cultural, political or health aspects of the community, beyond their personal beliefs or actions. An example of a key stakeholder is the Chief Health Officer of Victoria (Australia’s second-most populous state) who oversaw the world’s longest lockdowns in response to the COVID-19 pandemic.
- Dyad: A dyad interview aims to explore one issue in a level of detail with a dyad (two people). This form of interviewing is used when one participant of the dyad may need some support or is not wholly able to articulate themselves (e.g. people with cognitive impairment, or children). Independence is acknowledged and the interview is analysed as a unit. 4
- Narrative: A narrative interview helps individuals tell their stories, and prioritises their own perspectives and experiences using the language that they prefer. 5 This type of interview has been widely used in social research but is gaining prominence in health research to better understand person-centred care, for example, negotiating exercise and food abstinence whilst living with Type 2 diabetes. 6,7
- Life history: A life history interview allows the researcher to explore a person’s individual and subjective experiences within a history of the time framework. 8 Life history interviews challenge the researcher to understand how people’s current attitudes, behaviours and choices are influenced by previous experiences or trauma. Life history interviews have been conducted with Holocaust survivors 9 and youth who have been forcibly recruited to war. 10
Table 13.4 provides a summary of four studies, each adopting one of these types of interviews.
Interviewing techniques
There are two main interview techniques:
- Semi-structured: Semi-structured interviewing aims to explore a few issues in moderate detail, to expand the researcher’s knowledge at some level. 11 Semi-structured interviews give the researcher the advantage of remaining reasonably objective while enabling participants to share their perspectives and opinions. The researcher should create an interview guide with targeted open questions to direct the interview. As examples, semi-structured interviews have been used to extend knowledge of why women might gain excess weight during pregnancy, 12 and to update guidelines for statin uptake. 13
- In-depth: In-depth interviewing aims to explore a person’s subjective experiences and feelings about a particular topic. 14 In-depth interviews are often used to explore emotive (e.g. end-of-life care) 15 and complex (e.g. adolescent pregnancy) topics. 16 The researcher should create an interview guide with selected open questions to ask of the participant, but the participant should guide the direction of the interview more than in a semi-structured setting. In-depth interviews value participants’ lived experiences and are frequently used in phenomenology studies (as described in Chapter 6) .
When to use the different types of interview s
The type of interview a researcher uses should be determined by the study design, the research aims and objectives, and participant demographics. For example, if conducting a descriptive study, semi-structured interviews may be the best method of data collection. As explained in Chapter 5 , descriptive studies seek to describe phenomena, rather than to explain or interpret the data. A semi-structured interview, which seeks to expand upon some level of existing knowledge, will likely best facilitate this.
Similarly, if conducting a phenomenological study, in-depth interviews may be the best method of data collection. As described in Chapter 6 , the key concept of phenomenology is the individual. The emphasis is on the lived experience of that individual and the person’s sense-making of those experiences. Therefore, an in-depth interview is likely best placed to elicit that rich data.
While some interview types are better suited to certain study designs, there are no restrictions on the type of interview that may be used. For example, semi-structured interviews provide an excellent accompaniment to trial participation (see Chapter 11 about mixed methods), and key stakeholder interviews, as part of an action research study, can be used to define priorities, barriers and enablers to implementation.
How do I write my interview questions?
An interview aims to explore the experiences, understandings, opinions and motivations of research participants. The general rule is that the interviewee should speak for 80 per cent of the interview, and the interviewer should only be asking questions and clarifying responses, for about 20 per cent of the interview. This percentage may differ depending on the interview type; for example, a semi-structured interview involves the researcher asking more questions than in an in-depth interview. Still, to facilitate free-flowing responses, it is important to use open-ended language to encourage participants to be expansive in their responses. Examples of open-ended terms include questions that start with ‘who’, ‘how’ and ‘where’.
The researcher should avoid closed-ended questions that can be answered with yes or no, and limit conversation. For example, asking a participant ‘Did you have this experience?’ can elicit a simple ‘yes’, whereas asking them to ‘Describe your experience’, will likely encourage a narrative response. Table 13.1 provides examples of terminology to include and avoid in developing interview questions.
Table 13.1. Interview question formats to use and avoid
How long should my interview be.
There is no rule about how long an interview should take. Different types of interviews will likely run for different periods of time, but this also depends on the research question/s and the type of participant. For example, given that a semi-structured interview is seeking to expand on some previous knowledge, the interview may need no longer than 30 minutes, or up to one hour. An in-depth interview seeks to explore a topic in a greater level of detail and therefore, at a minimum, would be expected to last an hour. A dyad interview may be as short as 15 minutes (e.g. if the dyad is a person with dementia and a family member or caregiver) or longer, depending on the pairing.
Designing your interview guide
To figure out what questions to ask in an interview guide, the researcher may consult the literature, speak to experts (including people with lived experience) about the research and draw on their current knowledge. The topics and questions should be mapped to the research question/s, and the interview guide should be developed well in advance of commencing data collection. This enables time and opportunity to pilot-test the interview guide. The pilot interview provides an opportunity to explore the language and clarity of questions, the order and flow of the guide and to determine whether the instructions are clear to participants both before and after the interview. It can be beneficial to pilot-test the interview guide with someone who is not familiar with the research topic, to make sure that the language used is easily understood (and will be by participants, too). The study design should be used to determine the number of questions asked and the duration of the interview should guide the extent of the interview guide. The participant type may also determine the extent of the interview guide; for example, clinicians tend to be time-poor and therefore shorter, focused interviews are optimal. An interview guide is also likely to be shorter for a descriptive study than a phenomenological or ethnographic study, given the level of detail required. Chapter 5 outlined a descriptive study in which participants who had undergone percutaneous coronary intervention were interviewed. The interview guide consisted of four main questions and subsequent probing questions, linked to the research questions (see Table 13.2). 17
Table 13.2. Interview guide for a descriptive study
Table 13.3 is an example of a larger and more detailed interview guide, designed for the qualitative component of a mixed-methods study aiming to examine the work and financial effects of living with arthritis as a younger person. The questions are mapped to the World Health Organization’s International Classification of Functioning, Disability, and Health, which measures health and disability at individual and population levels. 18
Table 13.3. Detailed interview guide
It is important to create an interview guide, for the following reasons:
- The researcher should be familiar with their research questions.
- Using an interview guide will enable the incorporation of feedback from the piloting process.
- It is difficult to predict how participants will respond to interview questions. They may answer in a way that is anticipated or they may provide unanticipated insights that warrant follow-up. An interview guide (a physical or digital copy) enables the researcher to note these answers and follow-up with appropriate inquiry.
- Participants will likely have provided heterogeneous answers to certain questions. The interview guide enables the researcher to note similarities and differences across various interviews, which may be important in data analysis.
- Even experienced qualitative researchers get nervous before an interview! The interview guide provides a safety net if the researcher forgets their questions or needs to anticipate the next question.
Setting up the interview
In the past, most interviews were conducted in person or by telephone. Emerging technologies promote easier access to research participation (e.g. by people living in rural or remote communities, or for people with mobility limitations). Even in metropolitan settings, many interviews are now conducted electronically (e.g. using videoconferencing platforms). Regardless of your interview setting, it is essential that the interview environment is comfortable for the participant. This process can begin as soon as potential participants express interest in your research. Following are some tips from the literature and our own experiences of leading interviews:
- Answer questions and set clear expectations . Participating in research is not an everyday task. People do not necessarily know what to expect during a research interview, and this can be daunting. Give people as much information as possible, answer their questions about the research and set clear expectations about what the interview will entail and how long it is expected to last. Let them know that the interview will be recorded for transcription and analysis purposes. Consider sending the interview questions a few days before the interview. This gives people time and space to reflect on their experiences, consider their responses to questions and to provide informed consent for their participation.
- Consider your setting . If conducting the interview in person, consider the location and room in which the interview will be held. For example, if in a participant’s home, be mindful of their private space. Ask if you should remove your shoes before entering their home. If they offer refreshments (which in our experience many participants do), accept it with gratitude if possible. These considerations apply beyond the participant’s home; if using a room in an office setting, consider privacy and confidentiality, accessibility and potential for disruption. Consider the temperature as well as the furniture in the room, who may be able to overhear conversations and who may walk past. Similarly, if interviewing by phone or online, take time to assess the space, and if in a house or office that is not quiet or private, use headphones as needed.
- Build rapport. The research topic may be important to participants from a professional perspective, or they may have deep emotional connections to the topic of interest. Regardless of the nature of the interview, it is important to remember that participants are being asked to open up to an interviewer who is likely to be a stranger. Spend some time with participants before the interview, to make sure that they are comfortable. Engage in some general conversation, and ask if they have any questions before you start. Remember that it is not a normal part of someone’s day to participate in research. Make it an enjoyable and/or meaningful experience for them, and it will enhance the data that you collect.
- Let participants guide you. Oftentimes, the ways in which researchers and participants describe the same phenomena are different. In the interview, reflect the participant’s language. Make sure they feel heard and that they are willing and comfortable to speak openly about their experiences. For example, our research involves talking to older adults about their experience of falls. We noticed early in this research that participants did not use the word ‘fall’ but would rather use terms such as ‘trip’, ‘went over’ and ‘stumbled’. As interviewers we adopted the participant’s language into our questions.
- Listen consistently and express interest. An interview is more complex than a simple question-and-answer format. The best interview data comes from participants feeling comfortable and confident to share their stories. By the time you are completing the 20th interview, it can be difficult to maintain the same level of concentration as with the first interview. Try to stay engaged: nod along with your participants, maintain eye contact, murmur in agreement and sympathise where warranted.
- The interviewer is both the data collector and the data collection instrument. The data received is only as good as the questions asked. In qualitative research, the researcher influences how participants answer questions. It is important to remain reflexive and aware of how your language, body language and attitude might influence the interview. Being rested and prepared will enhance the quality of the questions asked and hence the data collected.
- Avoid excessive use of ‘why’. It can be challenging for participants to recall why they felt a certain way or acted in a particular manner. Try to avoid asking ‘why’ questions too often, and instead adopt some of the open language described earlier in the chapter.
After your interview
When you have completed your interview, thank the participant and let them know they can contact you if they have any questions or follow-up information they would like to provide. If the interview has covered sensitive topics or the participant has become distressed throughout the interview, make sure that appropriate referrals and follow-up are provided (see section 6).
Download the recording from your device and make sure it is saved in a secure location that can only be accessed by people on the approved research team (see Chapters 35 and 36).
It is important to know what to do immediately after each interview is completed. Interviews should be transcribed – that is, reproduced verbatim for data analysis. Transcribing data is an important step in the process of analysis, but it is very time-consuming; transcribing a 60-minute interview can take up to 8 hours. Data analysis is discussed in Section 4.
Table 13.4. Examples of the four types of interviews
Interviews are the most common data collection technique in qualitative research. There are four main types of interviews; the one you choose will depend on your research question, aims and objectives. It is important to formulate open-ended interview questions that are understandable and easy for participants to answer. Key considerations in setting up the interview will enhance the quality of the data obtained and the experience of the interview for the participant and the researcher.
- Gill P, Stewart K, Treasure E, Chadwick B. Methods of data collection in qualitative research: interviews and focus groups. Br Dent J . 2008;204(6):291-295. doi:10.1038/bdj.2008.192
- DeJonckheere M, Vaughn LM. Semistructured interviewing in primary care research: a balance of relationship and rigour. Fam Med Community Health . 2019;7(2):e000057. doi:10.1136/fmch-2018-000057
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Qualitative Research – a practical guide for health and social care researchers and practitioners Copyright © 2023 by Danielle Berkovic is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.
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The qualitative research interview
Affiliation.
- 1 Department of Family Medicine, University of Medicine and Dentistry at Robert Wood Johnson Medical School, Somerset, New Jersey 08873, USA. [email protected]
- PMID: 16573666
- DOI: 10.1111/j.1365-2929.2006.02418.x
Background: Interviews are among the most familiar strategies for collecting qualitative data. The different qualitative interviewing strategies in common use emerged from diverse disciplinary perspectives resulting in a wide variation among interviewing approaches. Unlike the highly structured survey interviews and questionnaires used in epidemiology and most health services research, we examine less structured interview strategies in which the person interviewed is more a participant in meaning making than a conduit from which information is retrieved.
Purpose: In this article we briefly review the more common qualitative interview methods and then focus on the widely used individual face-to-face in-depth interview, which seeks to foster learning about individual experiences and perspectives on a given set of issues. We discuss methods for conducting in-depth interviews and consider relevant ethical issues with particular regard to the rights and protection of the participants.
Publication types
- Research Support, N.I.H., Extramural
- Research Support, Non-U.S. Gov't
- Data Collection / methods
- Ethics, Research
- Interpersonal Relations
- Interviews as Topic / methods*
- Qualitative Research*
Grants and funding
- 1D12HP00167/PHS HHS/United States
The Interview 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.
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Interviews involve a conversation with a purpose, but have some distinct features compared to ordinary conversation, such as being scheduled in advance, having an asymmetry in outcome goals between interviewer and interviewee, and often following a question-answer format.
Interviews are different from questionnaires as they involve social interaction. Unlike questionnaire methods, researchers need training in interviewing (which costs money).
How Do Interviews Work?
Researchers can ask different types of questions, generating different types of data . For example, closed questions provide people with a fixed set of responses, whereas open questions allow people to express what they think in their own words.
The researcher will often record interviews, and the data will be written up as a transcript (a written account of interview questions and answers) which can be analyzed later.
It should be noted that interviews may not be the best method for researching sensitive topics (e.g., truancy in schools, discrimination, etc.) as people may feel more comfortable completing a questionnaire in private.
There are different types of interviews, with a key distinction being the extent of structure. Semi-structured is most common in psychology research. Unstructured interviews have a free-flowing style, while structured interviews involve preset questions asked in a particular order.
Structured Interview
A structured interview is a quantitative research method where the interviewer a set of prepared closed-ended questions in the form of an interview schedule, which he/she reads out exactly as worded.
Interviews schedules have a standardized format, meaning the same questions are asked to each interviewee in the same order (see Fig. 1).
Figure 1. An example of an interview schedule
The interviewer will not deviate from the interview schedule (except to clarify the meaning of the question) or probe beyond the answers received. Replies are recorded on a questionnaire, and the order and wording of questions, and sometimes the range of alternative answers, is preset by the researcher.
A structured interview is also known as a formal interview (like a job interview).
- Structured interviews are easy to replicate as a fixed set of closed questions are used, which are easy to quantify – this means it is easy to test for reliability .
- Structured interviews are fairly quick to conduct which means that many interviews can take place within a short amount of time. This means a large sample can be obtained, resulting in the findings being representative and having the ability to be generalized to a large population.
Limitations
- Structured interviews are not flexible. This means new questions cannot be asked impromptu (i.e., during the interview), as an interview schedule must be followed.
- The answers from structured interviews lack detail as only closed questions are asked, which generates quantitative data . This means a researcher won’t know why a person behaves a certain way.
Unstructured Interview
Unstructured interviews do not use any set questions, instead, the interviewer asks open-ended questions based on a specific research topic, and will try to let the interview flow like a natural conversation. The interviewer modifies his or her questions to suit the candidate’s specific experiences.
Unstructured interviews are sometimes referred to as ‘discovery interviews’ and are more like a ‘guided conservation’ than a strictly structured interview. They are sometimes called informal interviews.
Unstructured interviews are most useful in qualitative research to analyze attitudes and values. Though they rarely provide a valid basis for generalization, their main advantage is that they enable the researcher to probe social actors’ subjective points of view.
Interviewer Self-Disclosure
Interviewer self-disclosure involves the interviewer revealing personal information or opinions during the research interview. This may increase rapport but risks changing dynamics away from a focus on facilitating the interviewee’s account.
In unstructured interviews, the informal conversational style may deliberately include elements of interviewer self-disclosure, mirroring ordinary conversation dynamics.
Interviewer self-disclosure risks changing the dynamics away from facilitation of interviewee accounts. It should not be ruled out entirely but requires skillful handling informed by reflection.
- An informal interviewing style with some interviewer self-disclosure may increase rapport and participant openness. However, it also increases the chance of the participant converging opinions with the interviewer.
- Complete interviewer neutrality is unlikely. However, excessive informality and self-disclosure risk the interview becoming more of an ordinary conversation and producing consensus accounts.
- Overly personal disclosures could also be seen as irrelevant and intrusive by participants. They may invite increased intimacy on uncomfortable topics.
- The safest approach seems to be to avoid interviewer self-disclosures in most cases. Where an informal style is used, disclosures require careful judgment and substantial interviewing experience.
- If asked for personal opinions during an interview, the interviewer could highlight the defined roles and defer that discussion until after the interview.
- Unstructured interviews are more flexible as questions can be adapted and changed depending on the respondents’ answers. The interview can deviate from the interview schedule.
- Unstructured interviews generate qualitative data through the use of open questions. This allows the respondent to talk in some depth, choosing their own words. This helps the researcher develop a real sense of a person’s understanding of a situation.
- They also have increased validity because it gives the interviewer the opportunity to probe for a deeper understanding, ask for clarification & allow the interviewee to steer the direction of the interview, etc. Interviewers have the chance to clarify any questions of participants during the interview.
- It can be time-consuming to conduct an unstructured interview and analyze the qualitative data (using methods such as thematic analysis).
- Employing and training interviewers is expensive and not as cheap as collecting data via questionnaires . For example, certain skills may be needed by the interviewer. These include the ability to establish rapport and knowing when to probe.
- Interviews inevitably co-construct data through researchers’ agenda-setting and question-framing. Techniques like open questions provide only limited remedies.
Focus Group Interview
Focus group interview is a qualitative approach where a group of respondents are interviewed together, used to gain an in‐depth understanding of social issues.
This type of interview is often referred to as a focus group because the job of the interviewer ( or moderator ) is to bring the group to focus on the issue at hand. Initially, the goal was to reach a consensus among the group, but with the development of techniques for analyzing group qualitative data, there is less emphasis on consensus building.
The method aims to obtain data from a purposely selected group of individuals rather than from a statistically representative sample of a broader population.
The role of the interview moderator is to make sure the group interacts with each other and do not drift off-topic. Ideally, the moderator will be similar to the participants in terms of appearance, have adequate knowledge of the topic being discussed, and exercise mild unobtrusive control over dominant talkers and shy participants.
A researcher must be highly skilled to conduct a focus group interview. For example, the moderator may need certain skills, including the ability to establish rapport and know when to probe.
- Group interviews generate qualitative narrative data through the use of open questions. This allows the respondents to talk in some depth, choosing their own words. This helps the researcher develop a real sense of a person’s understanding of a situation. Qualitative data also includes observational data, such as body language and facial expressions.
- Group responses are helpful when you want to elicit perspectives on a collective experience, encourage diversity of thought, reduce researcher bias, and gather a wider range of contextualized views.
- They also have increased validity because some participants may feel more comfortable being with others as they are used to talking in groups in real life (i.e., it’s more natural).
- When participants have common experiences, focus groups allow them to build on each other’s comments to provide richer contextual data representing a wider range of views than individual interviews.
- Focus groups are a type of group interview method used in market research and consumer psychology that are cost – effective for gathering the views of consumers .
- The researcher must ensure that they keep all the interviewees” details confidential and respect their privacy. This is difficult when using a group interview. For example, the researcher cannot guarantee that the other people in the group will keep information private.
- Group interviews are less reliable as they use open questions and may deviate from the interview schedule, making them difficult to repeat.
- It is important to note that there are some potential pitfalls of focus groups, such as conformity, social desirability, and oppositional behavior, that can reduce the usefulness of the data collected.
For example, group interviews may sometimes lack validity as participants may lie to impress the other group members. They may conform to peer pressure and give false answers.
To avoid these pitfalls, the interviewer needs to have a good understanding of how people function in groups as well as how to lead the group in a productive discussion.
Semi-Structured Interview
Semi-structured interviews lie between structured and unstructured interviews. The interviewer prepares a set of same questions to be answered by all interviewees. Additional questions might be asked during the interview to clarify or expand certain issues.
In semi-structured interviews, the interviewer has more freedom to digress and probe beyond the answers. The interview guide contains a list of questions and topics that need to be covered during the conversation, usually in a particular order.
Semi-structured interviews are most useful to address the ‘what’, ‘how’, and ‘why’ research questions. Both qualitative and quantitative analyses can be performed on data collected during semi-structured interviews.
- Semi-structured interviews allow respondents to answer more on their terms in an informal setting yet provide uniform information making them ideal for qualitative analysis.
- The flexible nature of semi-structured interviews allows ideas to be introduced and explored during the interview based on the respondents’ answers.
- Semi-structured interviews can provide reliable and comparable qualitative data. Allows the interviewer to probe answers, where the interviewee is asked to clarify or expand on the answers provided.
- The data generated remain fundamentally shaped by the interview context itself. Analysis rarely acknowledges this endemic co-construction.
- They are more time-consuming (to conduct, transcribe, and analyze) than structured interviews.
- The quality of findings is more dependent on the individual skills of the interviewer than in structured interviews. Skill is required to probe effectively while avoiding biasing responses.
The Interviewer Effect
Face-to-face interviews raise methodological problems. These stem from the fact that interviewers are themselves role players, and their perceived status may influence the replies of the respondents.
Because an interview is a social interaction, the interviewer’s appearance or behavior may influence the respondent’s answers. This is a problem as it can bias the results of the study and make them invalid.
For example, the gender, ethnicity, body language, age, and social status of the interview can all create an interviewer effect. If there is a perceived status disparity between the interviewer and the interviewee, the results of interviews have to be interpreted with care. This is pertinent for sensitive topics such as health.
For example, if a researcher was investigating sexism amongst males, would a female interview be preferable to a male? It is possible that if a female interviewer was used, male participants might lie (i.e., pretend they are not sexist) to impress the interviewer, thus creating an interviewer effect.
Flooding interviews with researcher’s agenda
The interactional nature of interviews means the researcher fundamentally shapes the discourse, rather than just neutrally collecting it. This shapes what is talked about and how participants can respond.
- The interviewer’s assumptions, interests, and categories don’t just shape the specific interview questions asked. They also shape the framing, task instructions, recruitment, and ongoing responses/prompts.
- This flooding of the interview interaction with the researcher’s agenda makes it very difficult to separate out what comes from the participant vs. what is aligned with the interviewer’s concerns.
- So the participant’s talk ends up being fundamentally shaped by the interviewer rather than being a more natural reflection of the participant’s own orientations or practices.
- This effect is hard to avoid because interviews inherently involve the researcher setting an agenda. But it does mean the talk extracted may say more about the interview process than the reality it is supposed to reflect.
Interview Design
First, you must choose whether to use a structured or non-structured interview.
Characteristics of Interviewers
Next, you must consider who will be the interviewer, and this will depend on what type of person is being interviewed. There are several variables to consider:
- Gender and age : This can greatly affect respondents’ answers, particularly on personal issues.
- Personal characteristics : Some people are easier to get on with than others. Also, the interviewer’s accent and appearance (e.g., clothing) can affect the rapport between the interviewer and interviewee.
- Language : The interviewer’s language should be appropriate to the vocabulary of the group of people being studied. For example, the researcher must change the questions’ language to match the respondents’ social background” age / educational level / social class/ethnicity, etc.
- Ethnicity : People may have difficulty interviewing people from different ethnic groups.
- Interviewer expertise should match research sensitivity – inexperienced students should avoid interviewing highly vulnerable groups.
Interview Location
The location of a research interview can influence the way in which the interviewer and interviewee relate and may exaggerate a power dynamic in one direction or another. It is usual to offer interviewees a choice of location as part of facilitating their comfort and encouraging participation.
However, the safety of the interviewer is an overriding consideration and, as mentioned, a minimal requirement should be that a responsible person knows where the interviewer has gone and when they are due back.
Remote Interviews
The COVID-19 pandemic necessitated remote interviewing for research continuity. However online interview platforms provide increased flexibility even under normal conditions.
They enable access to participant groups across geographical distances without travel costs or arrangements. Online interviews can be efficiently scheduled to align with researcher and interviewee availability.
There are practical considerations in setting up remote interviews. Interviewees require access to internet and an online platform such as Zoom, Microsoft Teams or Skype through which to connect.
Certain modifications help build initial rapport in the remote format. Allowing time at the start of the interview for casual conversation while testing audio/video quality helps participants settle in. Minor delays can disrupt turn-taking flow, so alerting participants to speak slightly slower than usual minimizes accidental interruptions.
Keeping remote interviews under an hour avoids fatigue for stare at a screen. Seeking advanced ethical clearance for verbal consent at the interview start saves participant time. Adapting to the remote context shows care for interviewees and aids rich discussion.
However, it remains important to critically reflect on how removing in-person dynamics may shape the co-created data. Perhaps some nuances of trust and disclosure differ over video.
Vulnerable Groups
The interviewer must ensure that they take special care when interviewing vulnerable groups, such as children. For example, children have a limited attention span, so lengthy interviews should be avoided.
Developing an Interview Schedule
An interview schedule is a list of pre-planned, structured questions that have been prepared, to serve as a guide for interviewers, researchers and investigators in collecting information or data about a specific topic or issue.
- List the key themes or topics that must be covered to address your research questions. This will form the basic content.
- Organize the content logically, such as chronologically following the interviewee’s experiences. Place more sensitive topics later in the interview.
- Develop the list of content into actual questions and prompts. Carefully word each question – keep them open-ended, non-leading, and focused on examples.
- Add prompts to remind you to cover areas of interest.
- Pilot test the interview schedule to check it generates useful data and revise as needed.
- Be prepared to refine the schedule throughout data collection as you learn which questions work better.
- Practice skills like asking follow-up questions to get depth and detail. Stay flexible to depart from the schedule when needed.
- Keep questions brief and clear. Avoid multi-part questions that risk confusing interviewees.
- Listen actively during interviews to determine which pre-planned questions can be skipped based on information the participant has already provided.
The key is balancing preparation with the flexibility to adapt questions based on each interview interaction. With practice, you’ll gain skills to conduct productive interviews that obtain rich qualitative data.
The Power of Silence
Strategic use of silence is a key technique to generate interviewee-led data, but it requires judgment about appropriate timing and duration to maintain mutual understanding.
- Unlike ordinary conversation, the interviewer aims to facilitate the interviewee’s contribution without interrupting. This often means resisting the urge to speak at the end of the interviewee’s turn construction units (TCUs).
- Leaving a silence after a TCU encourages the interviewee to provide more material without being led by the interviewer. However, this simple technique requires confidence, as silence can feel socially awkward.
- Allowing longer silences (e.g. 24 seconds) later in interviews can work well, but early on even short silences may disrupt rapport if they cause misalignment between speakers.
- Silence also allows interviewees time to think before answering. Rushing to re-ask or amend questions can limit responses.
- Blunt backchannels like “mm hm” also avoid interrupting flow. Interruptions, especially to finish an interviewee’s turn, are problematic as they make the ownership of perspectives unclear.
- If interviewers incorrectly complete turns, an upside is it can produce extended interviewee narratives correcting the record. However, silence would have been better to let interviewees shape their own accounts.
Interviewing Children
By understanding the unique challenges and employing these solutions, interviewers can create a more child-friendly and effective interview process, promoting accurate and reliable information gathering from young witnesses.
Pitfalls to Avoid
- Speculation and misinterpretation : Children may misinterpret questions due to immature language and memory skills, leading them to speculate or provide inaccurate information . For example, children might not fully grasp the meaning of words like “before” and “after” .
- Limited information : Directive questions often result in brief answers, restricting the child’s opportunity to provide a full and detailed account of the event.
- Children’s desire to cooperate: Children are generally inclined to answer any question posed by an authority figure, even if they don’t understand the question or know the answer. This can result in inaccurate responses or speculation to please the interviewer.
- Language development : Young children may not understand complex vocabulary, grammatical structures, or abstract concepts . For instance, words like “aunt” and “uncle” can be challenging for children because their meaning shifts depending on the speaker.
- Memory capabilities : Children’s memory abilities are still developing, making them more susceptible to memory errors and suggestibility . Questions that repeatedly cue specific details can inadvertently alter their recollections .
- Attention span and fatigue : Children, especially younger ones, have shorter attention spans and tire more easily than adults. Lengthy interviews or those with excessive questioning can lead to fatigue and reduce the quality of their responses.
- Reluctance to talk: Children may be hesitant to talk due to various reasons, such as fear of getting into trouble, an inhibited temperament, distrust of unfamiliar adults, or feeling overwhelmed. This can make it challenging to obtain information from them.
- Adopt a child-centered approach: Interviewers prioritize creating a supportive and less intimidating environment by using techniques tailored to the child’s developmental level and cultural background. This includes using developmentally appropriate language, building rapport, and employing a patient and non-judgmental demeanor.
- Emphasize open-ended questions: Instead of relying heavily on focused questions, interviewers prioritize open-ended prompts that encourage children to provide detailed narratives in their own words. They use open-ended invitations like “Tell me everything that happened” or “What happened next?” to elicit more comprehensive and accurate responses.
- Use a questioning cycle: Interviewers combine open-ended invitations with focused prompts to gather specific details while maintaining a conversational flow. This involves cycling back to broader, open-ended prompts after asking focused questions to ensure a thorough understanding of the situation.
- Provide ample time to respond: Recognizing that children may need more time to process information, interviewers provide sufficient wait time, allowing children to respond at their own pace. This patience helps to reduce pressure and encourages more thoughtful responses.
- Build rapport: Establishing rapport is crucial for creating a safe and comfortable space for children to share their experiences. Interviewers achieve this by engaging in neutral conversations, showing genuine interest in the child’s life, and using a calm and reassuring tone.
- Deliver clear interview instructions: Interviewers provide clear and concise instructions, explaining the ground rules of the interview, emphasizing honesty, and encouraging the child to ask for clarification if needed.
- Use interview aids cautiously: While tools like drawings or diagrams can be helpful, interviewers use them with caution, ensuring they don’t lead or suggest information to the child. These aids are primarily used to clarify or elaborate on information the child has already provided verbally.
- Be prepared for multiple interviews: It’s often necessary to conduct multiple interviews to allow children time to process information and recall additional details. Subsequent interviews provide an opportunity to clarify information and explore inconsistencies.
Recording & Transcription
Design choices.
Design choices around recording and engaging closely with transcripts influence analytic insights, as well as practical feasibility. Weighing up relevant tradeoffs is key.
- Audio recording is standard, but video better captures contextual details, which is useful for some topics/analysis approaches. Participants may find video invasive for sensitive research.
- Digital formats enable the sharing of anonymized clips. Additional microphones reduce audio issues.
- Doing all transcription is time-consuming. Outsourcing can save researcher effort but needs confidentiality assurances. Always carefully check outsourced transcripts.
- Online platform auto-captioning can facilitate rapid analysis, but accuracy limitations mean full transcripts remain ideal. Software cleans up caption file formatting.
- Verbatim transcripts best capture nuanced meaning, but the level of detail needed depends on the analysis approach. Referring back to recordings is still advisable during analysis.
- Transcripts versus recordings highlight different interaction elements. Transcripts make overt disagreements clearer through the wording itself. Recordings better convey tone affiliativeness.
Transcribing Interviews & Focus Groups
Here are the steps for transcribing interviews:
- Play back audio/video files to develop an overall understanding of the interview
- Format the transcription document:
- Add line numbers
- Separate interviewer questions and interviewee responses
- Use formatting like bold, italics, etc. to highlight key passages
- Provide sentence-level clarity in the interviewee’s responses while preserving their authentic voice and word choices
- Break longer passages into smaller paragraphs to help with coding
- If translating the interview to another language, use qualified translators and back-translate where possible
- Select a notation system to indicate pauses, emphasis, laughter, interruptions, etc., and adapt it as needed for your data
- Insert screenshots, photos, or documents discussed in the interview at the relevant point in the transcript
- Read through multiple times, revising formatting and notations
- Double-check the accuracy of transcription against audio/videos
- De-identify transcript by removing identifying participant details
The goal is to produce a formatted written record of the verbal interview exchange that captures the meaning and highlights important passages ready for the coding process. Careful transcription is the vital first step in analysis.
Coding Transcripts
The goal of transcription and coding is to systematically transform interview responses into a set of codes and themes that capture key concepts, experiences and beliefs expressed by participants. Taking care with transcription and coding procedures enhances the validity of qualitative analysis .
- Read through the transcript multiple times to become immersed in the details
- Identify manifest/obvious codes and latent/underlying meaning codes
- Highlight insightful participant quotes that capture key concepts (in vivo codes)
- Create a codebook to organize and define codes with examples
- Use an iterative cycle of inductive (data-driven) coding and deductive (theory-driven) coding
- Refine codebook with clear definitions and examples as you code more transcripts
- Collaborate with other coders to establish the reliability of codes
Ethical Issues
Informed consent.
The participant information sheet must give potential interviewees a good idea of what is involved if taking part in the research.
This will include the general topics covered in the interview, where the interview might take place, how long it is expected to last, how it will be recorded, the ways in which participants’ anonymity will be managed, and incentives offered.
It might be considered good practice to consider true informed consent in interview research to require two distinguishable stages:
- Consent to undertake and record the interview and
- Consent to use the material in research after the interview has been conducted and the content known, or even after the interviewee has seen a copy of the transcript and has had a chance to remove sections, if desired.
Power and Vulnerability
- Early feminist views that sensitivity could equalize power differences are likely naive. The interviewer and interviewee inhabit different knowledge spheres and social categories, indicating structural disparities.
- Power fluctuates within interviews. Researchers rely on participation, yet interviewees control openness and can undermine data collection. Assumptions should be avoided.
- Interviews on sensitive topics may feel like quasi-counseling. Interviewers must refrain from dual roles, instead supplying support service details to all participants.
- Interviewees recruited for trauma experiences may reveal more than anticipated. While generating analytic insights, this risks leaving them feeling exposed.
- Ultimately, power balances resist reconciliation. But reflexively analyzing operations of power serves to qualify rather than nullify situtated qualitative accounts.
Some groups, like those with mental health issues, extreme views, or criminal backgrounds, risk being discredited – treated skeptically by researchers.
This creates tensions with qualitative approaches, often having an empathetic ethos seeking to center subjective perspectives. Analysis should balance openness to offered accounts with critically examining stakes and motivations behind them.
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O’Key, V., Hugh-Jones, S., & Madill, A. (2009). Recruiting and engaging with people in deprived locales: Interviewing families about their eating patterns. Social Psychological Review, 11 (20), 30–35.
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Schaeffer, N. C. (1991). Conversation with a purpose— Or conversation? Interaction in the standardized interview. In P. P. Biemer, R. M. Groves, L. E. Lyberg, & N. A. Mathiowetz (Eds.), Measurement errors in surveys (pp. 367–391). Wiley.
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To demonstrate these skills during an interview, candidates should provide concrete examples from their past research experiences and explain their methodologies and outcomes. Preparing to answer specific questions about their research process, challenges faced, and contributions to projects can help candidates showcase their expertise and ...
Vancouver, Canada. Abstract. Interviews are one of the most promising ways of collecting qualitative data throug h establishment of a. communication between r esearcher and the interviewee. Re ...
Here are some steps on how to analyze a qualitative interview: 1. Transcription. The first step is transcribing the interview into text format to have a written record of the conversation. This step is essential to ensure that you can refer back to the interview data and identify the important aspects of the interview.
Read our list of research interview questions and answers to help get into the pre-interview zone (and, hopefully, ensure you land that position!) General research questions General research questions are typically asked at the start of the interview to give the interviewer a sense of your work, personality, experience, and career goals.
Develop an interview guide. Introduce yourself and explain the aim of the interview. Devise your questions so interviewees can help answer your research question. Have a sequence to your questions / topics by grouping them in themes. Make sure you can easily move back and forth between questions / topics. Make sure your questions are clear and ...
There are several types of interviews, often differentiated by their level of structure. Structured interviews have predetermined questions asked in a predetermined order. Unstructured interviews are more free-flowing. Semi-structured interviews fall in between. Interviews are commonly used in market research, social science, and ethnographic ...
The interview method is a data collection technique where a researcher engages in direct conversation with individuals to gather information about their thoughts, experiences, and behaviors.
Researchers aim to look into the individual's life journey. As a result, this type of interview allows participants to construct and share their own narratives, providing rich qualitative data. Qualitative research, oral history, or studies focusing on individual experiences and identities uses narrative interviews. 6.
In medical education research, the qualitative research interview is a viable and highly utilized data-collection tool (DiCicco-Bloom and Crabtree 2006; Jamshed 2014). ... During an interview, follow-up questions can help probe how your questions are understood. Also, be courageous and make changes in the interview guide before the next ...
5. Not keeping your golden thread front of mind. We touched on this a little earlier, but it is a key point that should be central to your entire research process. You don't want to end up with pages and pages of data after conducting your interviews and realize that it is not useful to your research aims.
A qualitative research interview is a one-to-one data collection session between a researcher and a participant. Interviews may be carried out face-to-face, over the phone or via video call using a service like Skype or Zoom. There are three main types of qualitative research interview - structured, unstructured or semi-structured.
InterViews by Steinar Kvale Interviewing is an essential tool in qualitative research and this introduction to interviewing outlines both the theoretical underpinnings and the practical aspects of the process. After examining the role of the interview in the research process, Steinar Kvale considers some of the key philosophical issues relating ...
Be sure to take notes throughout the interview so you can reference them as you analyze your results. 4. Analyze your results. After conducting your research interview, you can analyze the response data. Review your notes and any interview transcripts or recordings to see how your data relates to your research.
Introduction. Interviewing people is at the heart of qualitative research. It is not merely a way to collect data but an intrinsically rewarding activity—an interaction between two people that holds the potential for greater understanding and interpersonal development. Unlike many of our daily interactions with others that are fairly shallow ...
In semi-structured interviews, interviewer prepares a set of same questions to be answered by all interviewees. At the same time, additional questions might be asked during interviews to clarify and/or further expand certain issues. Advantages of interviews include possibilities of collecting detailed information about research questions.
TIPSHEET QUALITATIVE INTERVIEWINGTIP. HEET - QUALITATIVE INTERVIEWINGQualitative interviewing provides a method for collecting rich and detailed information about how individuals experience, understand. nd explain events in their lives. This tipsheet offers an introduction to the topic and some advice on. arrying out eff.
Abstract. This article is the next instalment in our 'How to…' series about qualitative research, and focuses on interviews. In many ways, conducting research interviews can be compared with talking to a patient or a student, yet there are specific elements to consider if you want the interview data to be useful for a research study. In this ...
Abstract. Qualitative interviewing is a foundational method in qualitative research and is widely used in health research and the social sciences. Both qualitative semi-structured and in-depth unstructured interviews use verbal communication, mostly in face-to-face interactions, to collect data about the attitudes, beliefs, and experiences of ...
The Qualitative Report 2020 Volume 25, Number 9, How To Article 1, 3185-3203. Qualitative Interview Questions: Guidance for Novice Researchers. Rosanne E. Roberts. Capella University, Minneapolis ...
What are interviews? An interviewing method is the most commonly used data collection technique in qualitative research. 1 The purpose of an interview is to explore the experiences, understandings, opinions and motivations of research participants. 2 Interviews are conducted one-on-one with the researcher and the participant. Interviews are most appropriate when seeking to understand a ...
In this article we briefly review the more common qualitative interview methods and then focus on the widely used individual face-to-face in-depth interview, which seeks to foster learning about individual experiences and perspectives on a given set of issues. ... The qualitative research interview Med Educ. 2006 Apr;40(4):314-21. doi: 10.1111 ...
A structured interview is a quantitative research method where the interviewer a set of prepared closed-ended questions in the form of an interview schedule, which he/she reads out exactly as worded. Interviews schedules have a standardized format, meaning the same questions are asked to each interviewee in the same order (see Fig. 1). Figure 1.
In this week's Sunday Sitdown, Kelsea Ballerini joins Willie Geist for a New York City hot dog to celebrate her new album "Patterns." Ballerini reflects on h...