dissertation interview data

Incorporating Interview Data

Introduction

When you incorporate original interview data into your writing, you are developing new ideas by using quotations and often sources that no one else has accessed. Drawing from interviews can liven up your writing, ground your big concepts within the specific circumstances of particular individuals, and introduce you to insights you might never have considered on your own. Additionally, interviews are an exciting way for you to provide a larger audience for people who might not otherwise have opportunities to share their stories, perceptions, and experiences.

There are lots of good reasons to incorporate original interview data into your writing. But doing so also involves making many, specific writing decisions. On this page we explore some of those decisions by considering: 1) the process by which interview data is gathered; 2) models for interview incorporation; and 3) identification of ways that writing with interview data can be like writing with information from any other source (as well as some of the unique writerly considerations that interviews raise).

Contents       Before You Write       Different Models of Incorporating Interview Data       Summarizing, Paraphrasing, or Quoting       Referring to your Interviewees       Using Verbatim or Non-Verbatim

Before You Write

Of course, before you can incorporate interview data into your writing, you need to plan and conduct your interviews and begin to analyze your findings.

Interviewing is a common form of research and information gathering in many different fields and across many different genres. In order to develop and actualize a plan for why interviews will help you answer the questions you’re asking, whom you’ll interview, and what you’ll ask these subjects, you’ll want to consult a range of resources. Talk with your instructor, mentor, or advisor about common ways of approaching interviews for this assignment or in this discipline. Additionally, many undergraduate textbooks about research in the social sciences and humanities offer introductions to interviewing. We’ve listed a few great resources to help you learn more.

For comprehensive introductions to research methods used in the writing research that include some information about interviews, consider:

• Jackie Grutsch McKinney’s book Strategies for Writing Center Research —especially pages 55-69. While Grutsch McKinney’s is focused on writing center research, her close consideration of the different ways to structure interviews as well as how to plan and conduct them can be applied to all interview contexts. Additionally, her treatment of data analysis in chapter 8 provides a step-by-step guide for coding qualitative data—one of the approaches you might use to make sense of what your interview data means.
• Joyce Kinkead’s Researching Writing: An Introduction to Research Methods —especially pages 37-39. This is a potential textbook for that could be used for a class specifically about the formal study of writing. However, its direct and specific information about interviewing is applicable for any social science researcher preparing to use interviews for research.

These resources focus more specifically on qualitative research methods in particular and interviewing in particular:

• Robert Bogdan and Sari Knopp Biklen’s Qualitative Research for Education: An Introduction to Theories and Methods —especially pages 103-109. Bogdan and Knopp Biklen’s treatment of interview practices provides a brief overview of how to approach and implement this research methodology.
• Irving Seidman’s Interviewing as Qualitative Research: A Guide for Researchers in Education and the Social Sciences —especially pages 78-94. This entire book explores interview practices, logistics, and applications, but chapter six in particular usefully details particular interviewing techniques and provides transcripted examples of some of these strategic techniques in action.

The rest of the information on this page assumes that you have learned to develop and implement your interview plan, that you’ve analyzed the information you’ve gathered, and that you’re now ready to start weaving that information into your writing.

Different Models for Incorporating Interview Data

You can use interview data in many different ways. Most often, you will probably be making an argumentative or analytical point and illustrating and supporting it with evidence from your interviews. For example, in the following passage from the book Booty Capitalism: The Politics of Banking in the Philippines , Paul D. Hutchcroft, a political science professor at Australian National University, begins with an original claim, follows that with a quotation from an interview subject that exemplifies that claim, and then offers additional commentary on that issue. Note how the quotation from the interview both connects the concepts of banking and politics and introduces the prism metaphor that Hutchcroft continues into the next sentence.

The major focus of this [book] is two arenas that offer particular insights into the nature of relations between state and oligarchy in the banking system: bank supervision and selective credit allocation. “Banking,” observes one former bank president, “is a prism through which to understand power politics in the Philippines.” A study of the banking system highlights larger patterns at work within the political economy: how a predatory oligarchy extracts privilege from a patrimonial state, and how developmental policy objectives are continually choked out by a clamor of particularistic demands made by those who currently enjoy proximity to the political machinery. (7)

Generalizing about a Trend or Theme

Using information from an interview to support your claim is the primary purpose for incorporating interview data into your writing, but how you do this may change according to your specific intent. In what follows, we explore different models for weaving interview data into your writing and provide examples of what this looks like.

It is important to consider the politicization of the nationality responses in context. On the whole, the vast majority of republican executives did not try to influence the process, and the nationality question was a non-issue in the predominantly ethnically Russian regions. In my regional interviews I found that in the oblasts and krays, there were almost no reports of difficulty with the nationality question. Officials in those areas reported that respondents who were not ethnically Russian had no difficulty citing a different nationality. This finding corresponded with my observations of the enumeration process in Moscow. There were sporadic cases of respondents in ethnically mixed marriages registering one child as of one parent’s ethnic group and the other child as of the other parent’s ethnic group. However, this is a conceptual issue rather than a problem of politicization. ( 367-8 )

Quoting to Illustrate a Trend or Theme

Sometimes interviewees say things that are so strikingly similar that it is useful to draw attention to these complementary concepts and word choices by putting them together. In the following passage, Jane Calvert, a professor at the University of Edinburgh, and Joan Fujimura, a sociology professor at UW-Madison, use this strategy while writing about scientists’ responses to the new and developing field of systems biology. Note that these authors carefully tie quotations to specific anonymized interviewees through parenthetical citations.

In another US university, the decision to build an interdisciplinary research centre was top-down, initiated by university and funding administrators and initially opposed by most campus laboratory scientists. The building of new interdisciplinary structures is challenging for the existing disciplinary “fiefdoms” (Biologist19) and “silos” (Biologist9 and Biologist12) “where people feel protected and safe” (Biologist19) because they are not required to step outside of their “comfort zones” (Biologist7).

Putting Two Sources in Conversation with Each Other

Sometimes writers can use one interviewee to contribute to or complicate what another interviewee says. The following paragraph from Hutchcroft’s Booty Capitalism shows this practice at work. In addition to bringing two sources together, in this passage Hutchcroft also strategically incorporates paratextual insight gained from the interview process into his analysis. He uses the former governor’s laughter to showcase an attitude that directly contrasts with what the former bank supervisor says.

Even when the Central Bank has acted against those who milked their banks, former bank owners have been known to use personal connections, even up to the Supreme Court, to confound Central Bank discipline. Former Governor Jaime Laya noted that even martial law “didn’t seem to stop the lawsuits against Central Bank personnel.” He actually laughed as he told me how the Central Bank legal office has “never won a case.” But the former head of the bank supervision sector, who has herself been sued, doesn’t find it a laughing matter: “Why only in this country,” she exclaimed, “do the regulators go to the jail, and the bankers go scot-free?” (9)

Providing a Profile/Telling a Story

Sometimes your writing needs to focus on your interview subject as a full and complex individual. In order to analyze an issue, you need to write about this individual’s background, family, and previous experiences. In this situation, you’ll weave together information you gained from your interviews with quotations from this person. This kind of writing is common when you are using interviews to develop ethnographis case studies. In the following example of this technique, Kate Vieira, a professor in the Department of Curriculum and Instruction at UW-Madison, tells the story of Jocélia, an undocumented Brazilian immigrant living in Massachusetts:

Jocélia, a 22 year-old Brazilian woman who grew up in a favela (shanty town) in Brazil, came to the United States to study and to earn money. When her visa expired and the small sum she had borrowed from cousins ran out, she quit her ESL classes and began to work illegally. When I met her in 2008, she had been in the United States for 4 years, had managed to buy a house for her mother in Brazil, and had plans to buy another one for herself and a car. To earn money as an undocumented worker, she held down two jobs: one from 3 p.m. to midnight and another from 5 a.m. to afternoon. One evening, exhausted from having not slept in days, she nodded off as she drove home from work, resulting in a serious accident that led her to a friend’s house in South Mills and to a Catholic retreat. When I came here, I was not a youth who had fun. I only worked, and this made me a little frustrated, you know? Sad, lonely, understand? And nobody could change my mind. I had to work . . . But the Lord showed me something different, that I can’t live only for work . . . So I went there [to the retreat] and I really felt that the Lord touched us. It was a very good experience . . . (444)

Attending to Language

As explored in greater depth in the discussion about verbatim transcription , sometimes you want to analyze or consider the language an individual uses or the implications of certain kinds of words or even pauses. For example, in the following passage, Beth Godbee, a writing and rhetoric professor at Marquette University, meticulously considers the implications of her subjects’ specific words and phrasing. Although this example is taken from Godbee’s analysis of a conversation she recorded between a writer Susan and a writing center tutor Kim as opposed to a direct interview she conducted, the attention she pays to language could just as well be applied to information from an interview.

Kim reinforces Susan’s qualifications: “You’re gonna—you’re the specialist in this area. You know these kids; you see what know the effects are, and maybe where some change could be made” (lines 558-561). Here Kim revises her projection of Susan as a “specialist” in the future tense (“gonna,” as in “you’re going to be”) to a statement of her current position (“you’re,” or “you are now”). By repairing her speech mid-utterance, Kim emphasizes Susan’s current status and qualifications to write, thereby reframing her institutional power to assert her right to speak. (185)

Summarizing, Paraphrasing, or Quoting

As the above examples show, interview data is incorporated into writing through summaries, paraphrases, or quotations. In some ways this makes working with interviews just like working from any other kind of outside. As you choose between summarizing, paraphrasing, or quoting, a guiding question for you to consider is: What is most important about this information?

• Is it the overall story it tells or the general perspective it provides? Then summarizing might be the best option.
• Is it the particular take on a complex issue? Then paraphrasing that idea in your own words to make it as understandable as possible might be best.
• Is it the memorability, specificity, or authenticity of the language the source used? Then probably go with a quote, but be sure to contextualize this quotation by providing necessary background and commentary.

Of course, in working with interview data, you might go with all three incorporation strategies by, for example, summarizing early in a paragraph to provide an overall sense of what this source is saying, paraphrasing a key idea or two, and then including a poignant quotation that exemplifies the argument you are making. For more information about quoting and paraphrasing outside sources in your writing, check out our resources on this issue .

Referring to your Interviewees

In certain writing situations, you are expected to identify the people you interviewed by using their real names. This is often the case in journalistic writing as well as when you have consulted with an expert on an issue. But, even in these writing contexts, you must receive permission from them to associate their words and insights with their names by clearly establishing whether or not they are talking with you “on the record.”

However, when you are conducting interviews for academic research, you are frequently expected to use pseudonyms so that your subjects’ responses are confidential. Protecting your subjects’ privacy should be your primary priority. They are giving you access to personal experiences and trusting you with their individual insights and observations; you must honor that trust by anonymizing their identities so that readers can’t figure out who your subjects were. Developing a research methodology that keeps all of your data confidential is an important part of the IRB (Internal Review Board) process, and in order to receive permission to do research at your institution you’ll need a plan that outlines how you’ll achieve confidentiality. Part of that plan will involve using different names for your subjects. But selecting pseudonyms is a bigger issue than just choosing different names at random.

Ruth Allen and Janine L. Wiles, Social and Community Health scholars at the University of Auckland, have closely considered the many issues surrounding pseudonym selection in connection to their original psychological and health-related research. They advocate that researchers think critically about this process and even bring their subjects into these discussions of identity and confidentiality. You need to be thoughtful about what aspects of your subjects’ true identities you are communicating or obscuring through the pseudonyms you use. The following questions are adapted from ones Allen and Wiles recommend researchers ask themselves when preparing to use pseudonyms for participants:

• Does the researcher or the participant choose the pseudonym? How does this issue get talked about with the participants?
• Is it important, valuable, or expected to use first name or also include last names and/or titles (i.e., Cara, Mr. Terrance, Dr. Jean Nichols)?
• Within the context of this writing, should the names to be associated with a specific gender, ethnicity, and/or culture? Should those nominal identity markers align with the participants’ actual identities?
• Do pseudonyms need to be selected for other people, places, activities, and organizations mentioned in the interview? And if so, who makes those choices?

How you answer these questions should be informed by your specific context. For example, in relation to that fourth question, if a participant is talking supportively about a small on-campus organization that you want to bring attention to through your writing, it might make sense to refer to this organization by name even though its size might make it harder to disguise your participant’s identity. However, if your interviewee is speaking critically about a large, multi-national corporation where she works, you might want to develop a pseudonym for that company in order to protect this individual as much as possible.

Using Verbatim or Non-Verbatim

When you are conducting interviews, you are engaging people in very focused conversation. But when we converse, we say “like” a lot and “um” and “ah.” We start sentences and then interrupt ourselves and never return to complete those earlier thoughts. Conversation is never as direct and naturally coherent as writing can be. As a result, when you’re representing other people’s speech, you need to decide if you’ll be employing what is called “verbatim transcription” or “non-verbatim transcription.”

In “verbatim transcriptions,” you write out what people say exactly as they say it. You include all the filler words, false starts, and grammatical inconsistencies. You may even choose to include coughs and laughs. Scholars have traditionally upheld verbatim accounts as being accurate depictions of the interview process, but as Blake Poland pointed out, “much of the emotional context of the interview as well as nonverbal communication are not captured at all well in audiotape records, so that the audiotape itself is not strictly a verbatim record of the interview” (291). “Non-verbatim transcriptions,” (sometimes called “intelligent transcription”) respond to this acknowledged gap between the complexities of real conversation and the limitations of writing by encouraging writers to focus on the primary substance of participants’ quotes. In “non-verbatim transcriptions, you eliminate the unnecessary utterances like “er,” “well,” and “you know” and just include the foundational meaning of the interviewees’ words.” For example:

Verbatim Transcription : Well, you see, I was [pause] the problem, as I saw it, was more of a, a matter of representation, you know? How can I, like, be the one that’s just out there just declaring the way things are when I’ve not even, like, you know, experiencing the whole process for myself? Non-verbatim Transcription : The problem, as I saw it, was more a matter of representation. How can I be the one that’s out there declaring the way things are when I’ve not even experienced the whole process for myself?

The choice to use verbatim or non-verbatim transcription in quoting your participants should be informed by intentional considerations you are making as a writer. There are good reasons to use either forms. As Mahesh Kumar has identified in a blog post for the Transcription Certification Institute, verbatim transcription is useful for showcasing the thought process by which interview participants develop their ideas. False starts and self-corrections track down how someone is thinking about an issue in real time, and some fillers can be useful expressions of personality. Additionally, some linguistics research and conversation analysis methodologies expect highly structured, verbatim transcriptions that even account for pauses and simultaneous dialogue. However, quotations presented through non-verbatim transcriptions are clearer and easier to read and enable you to present your interview subjects as articulate (Poland 292). Whether you go with verbatim or non-verbatim transcription, make sure that you are being consistent with this choice across your article, paper, report, or essay. Also, if it’s common in the genre you are writing to discuss your methodology choices, it may be useful to clarify which transcription form you have chosen to use and why this was an appropriate choice.

Works Cited

Allen, Ruth E.S., and Janine L. Wiles. “A Rose by Any Other Name: Participants Choosing Research Pseudonyms.” Qualitative Research in Psychology , Dec. 2015. Research Gate , doi: 10.1080/14780887.2015.1133746.

Bogdan, Robert C., and Sari Knopp Biklen. Qualitative Research for Education: An Introduction to Theories and Methods . 5 th ed., Pearson, 2007.

Calvert, Jane, and Joan H. Fujimura. “Calculating Life? Duelling Discourses in Interdisciplinary Systems Biology.” Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences , vol. 42, no. 2l, 2011. Science Direct , https://doi.org/10.1016/j.shpsc.2010.11.022 .

Godbee, Beth. “Toward Explaining the Transformative Power of Talk About, Around, and for Writing.” Research in the Teaching of English , vol. 47, no. 2, 2012, pp. 171-97.

Grutsch McKinney, Jackie. Strategies for Writing Center Research . Parlor Press, 2016.

Herrera, Yoshiko M. “The 2002 Russian Census: Institutional Reform at Goskomstar.”  Post-Soviet Affairs , vol, 20, no. 4, 2004, pp. 350-86.

Hutchcroft, Paul D. Booty Capitalism: The Politics of Banking in the Philippines , Ateneo de Manila University Press, 1998.

Kinkead, Joyce. Researching Writing: An Introduction to Research Methods . University Press of Colorado, 2015.

Kumar, Mahesh. “Verbatim Vs Non-Verbatim Transcription: Differences, Requirements, & Jobs.” Transcription Certification Institute , 5 December 2017. Accessed online 19 June 2017. https://blog.transcriptioncertificationinstitute.org/verbatim-vs-non-verbatim-transcription-differences-requirements-jobs/.

Poland, Blake D. “Transcription Quality as an Aspect of Rigor in Qualitative Research.” Qualitative Inquiry , no. 1, vol. 3, 1995, pp. 290-310.

Seidman, Irving. Interviewing as Qualitative Research: A Guide for Researchers in Education and the Social Sciences . 3 rd ed., Teachers College Press, 2006.

Vieira, Kate. “Undocumented in a Documentary Society: Textual Borders and Transnational Religious Literacies.”  Written Communication , vol 28, no. 4, 2011, pp. 436-61.

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Creating effective interview transcripts for your dissertation

Have you ever thought about how your dissertation's disorganised interview notes become a logical and informative chapter to your work? Transcription is the key. Transcripts serve as the foundation for qualitative data analysis and are frequently used in dissertations as vital support and proof.

A keen eye for detail and strict adherence to particular formatting requirements are necessary for creating the ideal dissertation. Moving forward, we will be discussing all you need to know about qualitative interviews , transcribing for them, and how to write an interview transcript in an APA format.

We’ve also linked a few exemplar interview transcript dissertations at the end of this which you can follow as a guide.

A guide to writing an interview transcript for dissertation

Writing an interview transcript for a dissertation requires balancing academic standards for compliance, accuracy, and coherence. The interviewee's details and variations are conveyed in this transcript, which not only provides essential support for your study but also adds depth and richness to your dissertation.

Here’s how you can improve your process of transcribing interviews qualitative research :

To get a feel of the whole topic and context, start by listening to the entire interview tape at least once, without stopping.

Write down every word that was spoken during the interview in a verbatim transcription. This covers every word said, even if they are filler or repeats that don't hinder comprehension or reading. Here you can make use of transcription services like Good Tape, which are competitively priced and have a much shorter turnaround time than manual transcription.

Pay attention to relevant non-verbal clues and pauses since they might reveal more about the interviewee's feelings and reactions.

Make sure your transcript follows a clear, uniform structure. Timestamps, speaker labels, and paragraph breaks for new subjects or questions to be included in this.

After the initial transcription, check and revise the transcript to ensure it is coherent and clear, according to the original.

By following this process you can effectively change the organic flow of a spoken interview into an instructive and captivating written style.

Interview transcription - A hypothetical case scenario

A recent dissertation from a Ph.D. candidate at an internationally recognised college provides an excellent illustration of the significance of transcripts from interviews when working on dissertations.

The researcher performed a number of in-depth interviews with locals, municipal planners, and company owners in order to better understand how urban expansion affects local communities. Every interview provided a different viewpoint on how the community views urban development initiatives and their effects.

Rather than manually transcribing several interview recordings or listening to them on a loop, the researcher employed transcription services to speed up their work.

Services like Good Tape ensure that your data remain protected and secure throughout the entire process as they are fully GDPR compliant, giving you peace of mind that your research is not getting into the wrong hands.

The dissertation's use of direct excerpts from the transcriptions gave the study results a stronger, more genuine voice. As a result, the dissertation's quality was enhanced and the reader and research subjects felt more personally connected. Because of this, the dissertation demonstrated the significant effects of urban growth on several stakeholders while being both academically demanding and very relevant to experiences and viewpoints from the real world.

How to write an interview transcript in an APA format

To guarantee that the transcript is accurate, comprehensible, and follows the rules set out by the Publication Manual of the American Psychological Association (APA), writing an interview transcript in APA style requires a certain approach. The actions to take are as follows:

Header information: Put a title that accurately summarises the interview's topic at the beginning of the transcript, along with any important identifying details like the interview date and the names of the interviewer and interviewee.

Speaker identification: Throughout the transcript, be sure to distinguish between the interviewer and the interviewee. Before every conversation line, use their names or titles (e.g., ‘Interviewer:’ and ‘Respondent:’).

Exact transcription: Enter the words exactly as they were said in the transcription. Incorporate all spoken words, such as "um" and "uh," unless their inclusion hinders comprehension of the conversation.

Nonverbal cues: The main nonverbal clues are indicated in parentheses. For instance, you can include [pauses], [laughs], or [sighs] if they provide background information for the discussion.

Paragraph structure: Whenever the speaker or topic changes, a new paragraph should be started. This improves readability and aids in the logical organisation of the text.

Editing and proofreading: Verify that the transcript is grammatically and typographically correct. Make sure the text is comprehensible and clear without sacrificing the authenticity of the spoken word.

In-text citations: Use the proper APA style citations when referencing your transcript inside the body of your dissertation.

While the answer to how to write an interview transcript in APA format is clear now, it is important to understand that while doing so, you are not only making your work more academically acceptable but also improving its readability score.

The procedure of following APA criteria for your dissertation may be greatly streamlined by using a transcription service, which will make the process much more effective and time-saving. Good Tape offers services in this regard which allows you to transcribe your interview audios adhering to the APA standard in no time.

Investing in a professional service guarantees that your interview transcripts are prepared in accordance with APA guidelines and are exactly as is, capturing every word and subtle emotion from the interviewee.

FAQ about interview transcripts in a dissertation

Transcripts from interviews are an essential component of dissertation work, especially in the humanities, social sciences, and qualitative research. However, it's common to have certain pressing questions at this stage. We have addressed a few that might help clear things up a bit for you.

Do you include interview transcripts in a dissertation?

Indeed, it is typical practice to include interview transcripts in dissertations, particularly in qualitative research. Readers may examine the precise data that was used to form conclusions by reading transcripts, which offer a thorough and accurate record of the interviews that were done.

Why get an interview transcription for a dissertation?

For dissertations, transcriptions are essential because they translate spoken language into a written form that is simple to examine. They make it possible to look more closely at the data and make it easier to find themes, patterns, and subtleties in the replies.

What kind of transcription do I need for my dissertation?

A verbatim transcription is chosen for the majority of dissertations. In order to fully capture the context of the interview and the interviewee's meaning, it is necessary to transcribe exactly what was said, including any filler words and non-verbal cues. Nonetheless, you may choose a clean transcription, which eliminates irrelevant phrases and fixes grammar for readability, based on the subject matter of your study.

How do I format interview transcripts for a dissertation?

Transcripts of interviews should be formatted according to the requirements of your university or the particular style guide you are using, like APA or MLA. This usually entails using non-verbal clues, maintaining consistency in paragraph layout, and having a clear framework for identifying speakers.

Can I use automated transcription services for my dissertation interviews?

Using automated transcription services that use AI to transcribe audio into text can be quite beneficial as they help save a lot of time. However, you need to be sure that the service you’re employing is suitable for your needs and serves the purpose well.

Revolutionise your interview analysis process with Good Tape

Having a good transcription service to convert your audio interviews into written documents speeds up your dissertation structuring and writing process. You can spend more time analysing and improving the overall quality of your dissertation rather than on listening to the recordings on loop. This is where Good Tape comes to your aid.

It’s simple to use and has a shorter turnaround time which makes it the most effective choice. Here’s how you can work your way around it.

• Upload your file: The first step in the process is to upload the file you need to transcribe. Make sure the file is complete and has all the information you require

• Select the language: Good Tape has a number of options when it comes to choosing the language of transcription. Select the one you want, although you can also choose the “auto-detect” option for the system to automatically identify the language in the audio.

• Transcribe the text: Once the file is uploaded and the language is chosen, proceed further by clicking the “transcribe” button. Your audio transcription process starts here.

• To wait or not to wait: If you’re a casual plan user, you will have to wait for some time for your transcription to be completed due to excessive load by the users. However, if you’re a professional or a team user, you get your results ASAP. The wait time depends on the plan you’re subscribed to .

• Get notified: You will receive a notification once your transcribed document is ready. An e-mail will be sent to your inbox containing the link to access and download the document.

Begin your journey with a udio-to-text conversion now and accelerate your dissertation process by using Good Tape’s efficient transcription offerings tailored to your requirements.

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How to Analyze Interview Transcripts in Qualitative Research

Rev › Blog › Transcription Blog › How to Analyze Interview Transcripts in Qualitative Research

Studies take time, accuracy, and a drive to provide excellent information, and qualitative research is a critical part of any successful study. You may be wondering how qualitative data adds to a paper or report, given that it’s not the hard “science” we often see highlighted the most often.

How Do You Analyze Qualitative Interviews?

There are two main approaches to qualitative analysis: inductive and deductive . What’s more, there are two types of inductive qualitative analysis to choose from. These are called thematic content analysis and narrative analysis, both of which call for an unstructured approach to research.

Inductive Methods of Analyzing Interview Transcripts

A thematic content analysis begins with weeding out biases and establishing your overarching impressions of the data. Rather than approaching your data with a predetermined framework, identify common themes as you search the materials organically. Your goal is to find common patterns across the data set.

A narrative analysis involves making sense of your interview respondents’ individual stories. Use this type of qualitative data analysis to highlight important aspects of their stories that will best resonate with your readers. And, highlight critical points you have found in other areas of your research.

Deductive Approach to Qualitative Analysis

Deductive analysis , on the other hand, requires a structured or predetermined approach. In this case, the researcher will build categories in advance of their analysis. Then, they’ll map connections in the data to those specific categories.

Each of these qualitative analysis methods lends its benefits to the research effort. Inductive analyses will produce more nuanced findings. Meanwhile, deductive analyses allow the researcher to point to key themes essential to their research.

Successful qualitative research hinges on the accuracy of your data. This can be harder to achieve than with quantitative research. It’s easy to lose important facts and meaning as you transition qualitative data from the source to your published content. This makes transcription a vital tool in maintaining integrity and relaying information in an unbiased way that’s useful for readers and adds appropriate context to the journal or study.

How to Transcribe a Qualitative Interview

Accurate transcription begins early in the interview process, even before you start interviewing. Here are the steps to transcribing a qualitative interview.

1. Collect Feedback for Qualitative Research

There are dozens of ways to gather qualitative data. Recording and accurately transcribing interviews is among the best methods to avoid inaccuracies and data loss, and researchers should consider this approach over simply taking notes firsthand.

Make sure you have a reliable way to record, whether the interview takes place in person, over the phone, or as part of a video call. Depending on the interview method, you may record a video or an audio-only format. Here are some tips depending on where the interview takes place:

• These apps can also be used for over-the-phone interviews.
• For video interviews , we recommend taking advantage of one of our transcription integrations , such as Zoom. Rev also has an API available for those who want to streamline their workflow even further by integrating Rev directly into their processes and platforms.

2. Organize Your Research Recordings

You should ensure that your audio or video files are easy to save, compile, and share. To do this, be sure to adopt easy-to-remember naming conventions as well to ensure they stay organized. An example of a naming convention that is simple to remember and recreate includes “Date.LastNameofSource.Topic”.

3. Transcribe All the Interviews and Focus Group Recordings

The next critical step is transcription. Done manually, this is a long and tedious process that can add hours, days, or even months to your report-writing process. There are dozens of pitfalls when performing transcriptions manually as well, as it can be hard to pick up words spoken in a heavy dialect or quiet tone. You also want to avoid having to transcribe all the “umms” and “ems” that occur when a source is speaking naturally.

Rev provides a variety of transcription services that take the tedium and guesswork out of the research process. You can choose to edit out all of the “umms,” while ensuring that heavy accents or muffled voices are picked up by the recording service.

You can order transcripts from Rev with both audio and video recordings. Once you’ve received your professional transcripts from Rev, you can begin your qualitative analysis.

The 6 Steps of Qualitative Interview Data Analysis

Among qualitative interview data analysis methods, thematic content analysis is perhaps the most common and effective method. It can also be one of the most trustworthy , increasing the traceability and verification of an analysis when done correctly. The following are the six main steps of a successful thematic analysis of your transcripts.

1. Read the Transcripts

By now, you will have accessed your transcript files as digital files in the cloud or have downloaded them to your computer for offline viewing. Start by browsing through your transcripts and making notes of your first impressions. You will be able to identify common themes. This will help you with your final summation of the data.

Next, read through each transcript carefully. Evidence of themes will become stronger, helping you to hone in on important insights.

You must identify bias during this step as well. Biases can appear in the data, among the interviewees, and even within your objectives and methodologies. According to SAGE Publishing , researchers should “acknowledge preconceived notions and actively work to neutralize them” at this early step.

2. Annotate the Transcripts

Annotation is the process of labeling relevant words, phrases, sentences, or sections with codes. These codes help identify important qualitative data types and patterns. Labels can be about actions, activities, concepts, differences, opinions, processes, or whatever you think is relevant.  Annotations will help you organize your data for dissemination .

Be generous with your annotations—don’t hold back. You will have an opportunity to eliminate or consolidate them later. It’s best to do more here, so you don’t have to come back to find more opportunities later.

3. Conceptualize the Data

Conceptualizing qualitative data is the process of aligning data with critical themes you will use in your published content. You will have identified many of these themes during your initial review of the transcripts.

To conceptualize,  create categories and subcategories  by grouping the codes you created during annotation. You may eliminate or combine certain codes rather than using all the codes you created. Keep only the codes you deem relevant to your analysis.

4. Segment the Data

Segmentation is the process of positioning and  connecting your categories . This allows you to establish the bulk of your data cohesively. Start by labeling your categories and then describe the connections between them.

You can use these descriptions to improve your final published content.

• Create a spreadsheet  to easily compile your data.
• Then, use the columns to structure important variables of your data analysis using codes as tools for reference.
• Create a separate tab for the front of the document that contains a coding table. This glossary contains important codes used in the segmentation process. This will help you and others quickly identify what the codes are referring to.

5. Analyze the Segments

You’re now ready to take a  deep dive into your data segments . Start by determining if there is a hierarchy among your categories. Determine if one is more important than the other, or draw a figure to summarize the results. At this stage, you may also want to align qualitative data with any quantitative data you collected.

6. Write the Results

Your analysis of the content is complete—you’re ready to transition your findings into the real body of your content. Use your insights to build and verify theories, answer key questions in your field, and back aims and objectives. Describe your categories and how they are connected using a neutral, objective voice.

Although you will pull heavily from your own research, be sure to publish content in the context of your field. Interpret your results in light of relevant studies, theories, and concepts related to your study.

Why Use Interviews for Qualitative Data

Unlike quantitative data, which is certainly important, a qualitative analysis adds color to academic and business reports. It offers perspective and can make a report more readable, add context, and inspire thoughtful discussion beyond the report.

As we’ve observed, transcribing qualitative interviews is crucial to getting less measurable data from direct sources. They allow researchers to provide relatable stories and perspectives and even quote important contributors directly. Lots of qualitative data from interviews enables authors to avoid embellishment and maintain the integrity of their content as well.

So, how do you conduct interview data analysis on qualitative data to pull key insights and strengthen your reports? Transcribing interviews is one of the most useful tools available for this task.

As a researcher, you need to make the most of recorded interviews . Interview transcripts allow you to use the best qualitative analysis methods. Plus, you can focus only on tasks that add value to your research effort.

Transcription is Essential to Qualitative Research Analysis

Qualitative data is often elusive to researchers. Transcripts allow you to capture original, nuanced responses from your respondents. You get their response naturally using their own words—not a summarized version in your notes.

You can also go back to the original transcript at any time to see what was said as you gain new context. The editable digital transcript files are incredibly easy to work with, saving you time and giving you speaker tags, time marks, and other tools to ensure you can find what you need within a transcript quickly.

When creating a report, accuracy matters, but efficiency matters, as well. Rev offers a seamless way of doing the transcription for you, saving you time and allowing you to focus on high-quality work instead. Consider Rev as your transcription service provider for qualitative research analysis — try Rev’s AI or Human Transcription services today.

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Chapter 10: Qualitative Data Collection & Analysis Methods

10.5 Analysis of Qualitative Interview Data

Analysis of qualitative interview data typically begins with a set of transcripts of the interviews conducted. Obtaining said transcripts requires either having taken exceptionally good notes during an interview or, preferably, recorded the interview and then transcribed it. To transcribe an interview means to create a complete, written copy of the recorded interview by playing the recording back and typing in each word that is spoken on the recording, noting who spoke which words. In general, it is best to aim for a verbatim transcription, i.e., one that reports word for word exactly what was said in the recorded interview. If possible, it is also best to include nonverbal responses in the written transcription of an interview (if the interview is completed face-to-face, or some other form of visual contact is maintained, such as with Skype). Gestures made by respondents should be noted, as should the tone of voice and notes about when, where, and how spoken words may have been emphasized by respondents.

If you have the time, it is best to transcribe your interviews yourself. If the researcher who conducted the interviews transcribes them herself, that person will also be able to record associated nonverbal behaviors and interactions that may be relevant to analysis but that could not be picked up by audio recording. Interviewees may roll their eyes, wipe tears from their face, and even make obscene gestures that speak volumes about their feelings; however, such non-verbal gestures cannot be recorded, and being able to remember and record in writing these details as it relates to the transcribing of interviews is invaluable.

Overall, the goal of analysis is to reach some inferences, lessons, or conclusions by condensing large amounts of data into relatively smaller, more manageable bits of understandable information. Analysis of qualitative interview data often works inductively (Glaser & Strauss, 1967; Patton, 2001). To move from the specific observations an interviewer collects to identifying patterns across those observations, qualitative interviewers will often begin by reading through transcripts of their interviews and trying to identify codes. A code is a shorthand representation of some more complex set of issues or ideas. The process of identifying codes in one’s qualitative data is often referred to as coding . Coding involves identifying themes across interview data by reading and re-reading (and re-reading again) interview transcripts, until the researcher has a clear idea about what sorts of themes come up across the interviews. Coding helps to achieve the goal of data management and data reduction (Palys & Atchison, 2014, p. 304).

Coding can be inductive or deductive. Deductive coding is the approach used by research analysts who have a well-specified or pre-defined set of interests (Palys & Atchison, 2014, P. 304). The process of deductive coding begins with the analyst utilizing those specific or pre-defined interests to identify “relevant” passages, quotes, images, scenes, etc., to develop a set of preliminary codes (often referred to as descriptive coding ). From there, the analyst elaborates on these preliminary codes, making finer distinctions within each coding category (known as interpretative coding ). Pattern coding is another step an analyst might take as different associations become apparent. For example, if you are studying at-risk behaviours in youth, and you discover that the various behaviours have different characteristics and meanings depending upon the social context (e.g., school, family, work) in which the various behaviours occur, you have identified a pattern (Palys & Atchison, 2014, p. 304).

In contrast, inductive coding begins with the identification of general themes and ideas that emerge as the researcher reads through the data. This process is also referred to as open coding (Palys & Atchison, 2014, p. 305), because it will probably require multiple analyses. As you read through your transcripts, it is likely that you will begin to see some commonalities across the categories or themes that you’ve jotted down (Saylor Academy, 2012). The open coding process can go one of two ways: either the researcher elaborates on a category by making finer, and then even finer distinctions, or the researcher starts with a very specific descriptive category that is subsequently collapsed into another category (Palys & Atchison, 2014, p. 305). In other words, the development and elaboration of codes arise out of the material that is being examined.

The next step for the research analyst is to begin more specific coding, which is known as focused or axial coding . Focused coding involves collapsing or narrowing themes and categories identified in open coding by reading through the notes you made while conducting open coding, identifying themes or categories that seem to be related, and perhaps merging some. Then give each collapsed/merged theme or category a name (or code) and identify passages of data that fit each named category or theme. To identify passages of data that represent your emerging codes, you will need to read through your transcripts several times. You might also write up brief definitions or descriptions of each code. Defining codes is a way of giving meaning to your data, and developing a way to talk about your findings and what your data means (Saylor Academy, 2012).

As tedious and laborious as it might seem to read through hundreds of pages of transcripts multiple times, sometimes getting started with the coding process is actually the hardest part. If you find yourself struggling to identify themes at the open coding stage, ask yourself some questions about your data. The answers should give you a clue about what sorts of themes or categories you are reading (Saylor Academy, 2012). (Lofland and Lofland,1995, p. 2001) identify a set of questions that are useful when coding qualitative data. They suggest asking the following:

• Of what topic, unit, or aspect is this an instance?
• What question about a topic does this item of data suggest?
• What sort of answer to a question about a topic does this item of data suggest (i.e., what proposition is suggested)?

Asking yourself these questions about the passages of data that you are reading can help you begin to identify and name potential themes and categories.

Table 10.3 “ Interview coding” example is drawn from research undertaken by Saylor Academy (Saylor Academy, 2012) where she presents two codes that emerged from her inductive analysis of transcripts from her interviews with child-free adults. Table 10.3 also includes a brief description of each code and a few (of many) interview excerpts from which each code was developed.

Table 10.3 Interview coding

Just as quantitative researchers rely on the assistance of special computer programs designed to help sort through and analyze their data, so, do qualitative researchers. Where quantitative researchers have SPSS and MicroCase (and many others), qualitative researchers have programs such as NVivo ( http://www.qsrinternational.com ) and Atlasti ( http://www.atlasti.com ). These are programs specifically designed to assist qualitative researchers to organize, manage, sort, and analyze large amounts of qualitative data. The programs allow researchers to import interview transcripts contained in an electronic file and then label or code passages, cut and paste passages, search for various words or phrases, and organize complex interrelationships among passages and codes

Research Methods for the Social Sciences: An Introduction Copyright © 2020 by Valerie Sheppard is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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How To Write The Results/Findings Chapter

For qualitative studies (dissertations & theses).

By: Jenna Crossley (PhD). Expert Reviewed By: Dr. Eunice Rautenbach | August 2021

So, you’ve collected and analysed your qualitative data, and it’s time to write up your results chapter. But where do you start? In this post, we’ll guide you through the qualitative results chapter (also called the findings chapter), step by step. 

Overview: Qualitative Results Chapter

• What (exactly) the qualitative results chapter is
• What to include in your results chapter
• How to write up your results chapter
• A few tips and tricks to help you along the way
• Free results chapter template

What exactly is the results chapter?

The results chapter in a dissertation or thesis (or any formal academic research piece) is where you objectively and neutrally present the findings of your qualitative analysis (or analyses if you used multiple qualitative analysis methods ). This chapter can sometimes be combined with the discussion chapter (where you interpret the data and discuss its meaning), depending on your university’s preference.  We’ll treat the two chapters as separate, as that’s the most common approach.

In contrast to a quantitative results chapter that presents numbers and statistics, a qualitative results chapter presents data primarily in the form of words . But this doesn’t mean that a qualitative study can’t have quantitative elements – you could, for example, present the number of times a theme or topic pops up in your data, depending on the analysis method(s) you adopt.

Adding a quantitative element to your study can add some rigour, which strengthens your results by providing more evidence for your claims. This is particularly common when using qualitative content analysis. Keep in mind though that qualitative research aims to achieve depth, richness and identify nuances , so don’t get tunnel vision by focusing on the numbers. They’re just cream on top in a qualitative analysis.

So, to recap, the results chapter is where you objectively present the findings of your analysis, without interpreting them (you’ll save that for the discussion chapter). With that out the way, let’s take a look at what you should include in your results chapter.

What should you include in the results chapter?

As we’ve mentioned, your qualitative results chapter should purely present and describe your results , not interpret them in relation to the existing literature or your research questions . Any speculations or discussion about the implications of your findings should be reserved for your discussion chapter.

In your results chapter, you’ll want to talk about your analysis findings and whether or not they support your hypotheses (if you have any). Naturally, the exact contents of your results chapter will depend on which qualitative analysis method (or methods) you use. For example, if you were to use thematic analysis, you’d detail the themes identified in your analysis, using extracts from the transcripts or text to support your claims.

While you do need to present your analysis findings in some detail, you should avoid dumping large amounts of raw data in this chapter. Instead, focus on presenting the key findings and using a handful of select quotes or text extracts to support each finding . The reams of data and analysis can be relegated to your appendices.

While it’s tempting to include every last detail you found in your qualitative analysis, it is important to make sure that you report only that which is relevant to your research aims, objectives and research questions .  Always keep these three components, as well as your hypotheses (if you have any) front of mind when writing the chapter and use them as a filter to decide what’s relevant and what’s not.

Need a helping hand?

How do I write the results chapter?

Now that we’ve covered the basics, it’s time to look at how to structure your chapter. Broadly speaking, the results chapter needs to contain three core components – the introduction, the body and the concluding summary. Let’s take a look at each of these.

Section 1: Introduction

The first step is to craft a brief introduction to the chapter. This intro is vital as it provides some context for your findings. In your introduction, you should begin by reiterating your problem statement and research questions and highlight the purpose of your research . Make sure that you spell this out for the reader so that the rest of your chapter is well contextualised.

The next step is to briefly outline the structure of your results chapter. In other words, explain what’s included in the chapter and what the reader can expect. In the results chapter, you want to tell a story that is coherent, flows logically, and is easy to follow , so make sure that you plan your structure out well and convey that structure (at a high level), so that your reader is well oriented.

The introduction section shouldn’t be lengthy. Two or three short paragraphs should be more than adequate. It is merely an introduction and overview, not a summary of the chapter.

Pro Tip – To help you structure your chapter, it can be useful to set up an initial draft with (sub)section headings so that you’re able to easily (re)arrange parts of your chapter. This will also help your reader to follow your results and give your chapter some coherence.  Be sure to use level-based heading styles (e.g. Heading 1, 2, 3 styles) to help the reader differentiate between levels visually. You can find these options in Word (example below).

Section 2: Body

Before we get started on what to include in the body of your chapter, it’s vital to remember that a results section should be completely objective and descriptive, not interpretive . So, be careful not to use words such as, “suggests” or “implies”, as these usually accompany some form of interpretation – that’s reserved for your discussion chapter.

The structure of your body section is very important , so make sure that you plan it out well. When planning out your qualitative results chapter, create sections and subsections so that you can maintain the flow of the story you’re trying to tell. Be sure to systematically and consistently describe each portion of results. Try to adopt a standardised structure for each portion so that you achieve a high level of consistency throughout the chapter.

For qualitative studies, results chapters tend to be structured according to themes , which makes it easier for readers to follow. However, keep in mind that not all results chapters have to be structured in this manner. For example, if you’re conducting a longitudinal study, you may want to structure your chapter chronologically. Similarly, you might structure this chapter based on your theoretical framework . The exact structure of your chapter will depend on the nature of your study , especially your research questions.

As you work through the body of your chapter, make sure that you use quotes to substantiate every one of your claims . You can present these quotes in italics to differentiate them from your own words. A general rule of thumb is to use at least two pieces of evidence per claim, and these should be linked directly to your data. Also, remember that you need to include all relevant results , not just the ones that support your assumptions or initial leanings.

In addition to including quotes, you can also link your claims to the data by using appendices , which you should reference throughout your text. When you reference, make sure that you include both the name/number of the appendix , as well as the line(s) from which you drew your data.

As referencing styles can vary greatly, be sure to look up the appendix referencing conventions of your university’s prescribed style (e.g. APA , Harvard, etc) and keep this consistent throughout your chapter.

Section 3: Concluding summary

The concluding summary is very important because it summarises your key findings and lays the foundation for the discussion chapter . Keep in mind that some readers may skip directly to this section (from the introduction section), so make sure that it can be read and understood well in isolation.

In this section, you need to remind the reader of the key findings. That is, the results that directly relate to your research questions and that you will build upon in your discussion chapter. Remember, your reader has digested a lot of information in this chapter, so you need to use this section to remind them of the most important takeaways.

Importantly, the concluding summary should not present any new information and should only describe what you’ve already presented in your chapter. Keep it concise – you’re not summarising the whole chapter, just the essentials.

Tips for writing an A-grade results chapter

Now that you’ve got a clear picture of what the qualitative results chapter is all about, here are some quick tips and reminders to help you craft a high-quality chapter:

• Your results chapter should be written in the past tense . You’ve done the work already, so you want to tell the reader what you found , not what you are currently finding .
• Make sure that you review your work multiple times and check that every claim is adequately backed up by evidence . Aim for at least two examples per claim, and make use of an appendix to reference these.
• When writing up your results, make sure that you stick to only what is relevant . Don’t waste time on data that are not relevant to your research objectives and research questions.
• Use headings and subheadings to create an intuitive, easy to follow piece of writing. Make use of Microsoft Word’s “heading styles” and be sure to use them consistently.
• When referring to numerical data, tables and figures can provide a useful visual aid. When using these, make sure that they can be read and understood independent of your body text (i.e. that they can stand-alone). To this end, use clear, concise labels for each of your tables or figures and make use of colours to code indicate differences or hierarchy.
• Similarly, when you’re writing up your chapter, it can be useful to highlight topics and themes in different colours . This can help you to differentiate between your data if you get a bit overwhelmed and will also help you to ensure that your results flow logically and coherently.

If you have any questions, leave a comment below and we’ll do our best to help. If you’d like 1-on-1 help with your results chapter (or any chapter of your dissertation or thesis), check out our private dissertation coaching service here or book a free initial consultation to discuss how we can help you.

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20 Comments

This was extremely helpful. Thanks a lot guys

Hi, thanks for the great research support platform created by the gradcoach team!

I wanted to ask- While “suggests” or “implies” are interpretive terms, what terms could we use for the results chapter? Could you share some examples of descriptive terms?

I think that instead of saying, ‘The data suggested, or The data implied,’ you can say, ‘The Data showed or revealed, or illustrated or outlined’…If interview data, you may say Jane Doe illuminated or elaborated, or Jane Doe described… or Jane Doe expressed or stated.

I found this article very useful. Thank you very much for the outstanding work you are doing.

What if i have 3 different interviewees answering the same interview questions? Should i then present the results in form of the table with the division on the 3 perspectives or rather give a results in form of the text and highlight who said what?

I think this tabular representation of results is a great idea. I am doing it too along with the text. Thanks

That was helpful was struggling to separate the discussion from the findings

this was very useful, Thank you.

Very helpful, I am confident to write my results chapter now.

It is so helpful! It is a good job. Thank you very much!

Very useful, well explained. Many thanks.

Hello, I appreciate the way you provided a supportive comments about qualitative results presenting tips

I loved this! It explains everything needed, and it has helped me better organize my thoughts. What words should I not use while writing my results section, other than subjective ones.

Thanks a lot, it is really helpful

Thank you so much dear, i really appropriate your nice explanations about this.

Thank you so much for this! I was wondering if anyone could help with how to prproperly integrate quotations (Excerpts) from interviews in the finding chapter in a qualitative research. Please GradCoach, address this issue and provide examples.

what if I’m not doing any interviews myself and all the information is coming from case studies that have already done the research.

Very helpful thank you.

This was very helpful as I was wondering how to structure this part of my dissertation, to include the quotes… Thanks for this explanation

This is very helpful, thanks! I am required to write up my results chapters with the discussion in each of them – any tips and tricks for this strategy?

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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.

Using an interview in a research paper

Consultant contributor: Viviane Ugalde

Using an interview can be an effective primary source for some papers and research projects. Finding an expert in the field or some other person who has knowledge of your topic can allow for you to gather unique information not available elsewhere.

There are four steps to using an interview as a source for your research.

• Know where and how to start.
• Know how to write a good question.
• Know how to conduct an interview.
• Know how to incorporate the interview into your document or project.

Step one: Where to start

First, you should determine your goals and ask yourself these questions:

• Who are the local experts on topic?
• How can I contact these people?
• Does anyone know them to help me setup the interviews?
• Are their phone numbers in the phone book or can I find them on the Internet?

Once you answer these questions and pick your interviewee, get their basic information such as their name, title, and other general details. If you reach out and your interview does not participate, don’t be discouraged. Keep looking for other interview contacts.

Step two: How to write a good question

When you have confirmed an interview, it is not time to come up with questions.

• Learning as much as you can about the person before the interview can help you create questions specific to your interview subject.
• Doing research about your interviewee’s past experience in your topic, or any texts that they have written would be great background research.

When you start to think of questions, write down more questions than you think you’ll need, and prioritize them as you go. Any good questions will answer the 5W and H questions. Asking Who, What, When, Where, Why, and How questions that you need answered for your paper, will help you form a question to ask your interviewee.

When writing a good question, try thinking of something that will help your argument.

• Is your interviewee an advocate for you position?
• Are they in any programs that are related to your research?
• How much experience do they have?

From broad questions like these, you can begin to narrow down to more specific and open-ended questions.

Step three: The interview

If at all possible, arrange to conduct the interview at the subject’s workplace. It will make them more comfortable, and you can write about their surroundings.

• Begin the interview with some small talk in order to give both of you the chance to get comfortable with one another
• Develop rapport that will make the interview easier for both of you.
• Ask open-ended questions
• Keep the conversation moving
• Stay on topic
• The more silence in the room, the more honest the answer.
• If an interesting subject comes up that is related to your research, ask a follow-up or an additional question about it.
• Ask if you can stay in contact with your interview subject in case there are any additional questions you have.

Step four: Incorporating the interview

When picking the material out of your interview, remember that people rarely speak perfectly. There will be many slang words and pauses that you can take out, as long as it does not change the meaning of the material you are using.

As you introduce your interview in the paper, start with a transition such as “according to” or other attributions. You should also be specific to the type of interview you are working with. This way, you will build a stronger ethos in your paper .

The body of your essay should clearly set up the quote or paraphrase you use from the interview responses,. Be careful not to stick a quote from the interview into the body of your essay because it sounds good. When deciding what to quote in your paper, think about what dialogue from the interview would add the most color to your interview. Quotes that illustrate what your interviewer sounded like, or what their personality is are always the best quotes to choose from.

Once you have done that, proofread your essay. Make sure the quotes you used don’t make up the majority of your paper. The interview quotes are supposed to support your argument; you are not supposed to support the interview.

For example, let’s say that you are arguing that free education is better than not. For your argument, you interview a local politician who is on your side of the argument. Rather than using a large quote that explains the stance of both sides, and why the politician chose this side, your quote is there to support the information you’ve already given. Whatever the politician says should prove what you argue, and not give new information.

Step five: Examples of citing your interviews 

Smith, Jane. Personal interview. 19 May 2018.

(E. Robbins, personal communication, January 4, 2018).

Smith also claimed that many of her students had difficulties with APA style (personal communication, November 3, 2018).

Reference list

Daly, C. & Leighton W. (2017). Interviewing a Source: Tips. Journalists Resource.

Driscoll, D. (2018 ). Interviewing. Purdue University

Hayden, K. (2012). How to Conduct an Interview to Write a Paper . Bright Hub Education, Bright Hub Inc.

Hose, C. (2017). How to Incorporate Interviews into Essays. Leaf Group Education.

Magnesi, J. (2017). How to Interview Someone for an Article or Research Paper. Career Trend, Leaf group Media.

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Dissertation Interview – A Short Guide With Helpful Tips

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A dissertation interview is a vital tool in academic research, often serving as a primary source in data collection . These structured, semi-structured, or unstructured dialogues provide detailed and firsthand insights into the research topic, supplementing or extending other research methods. The design, execution, and analysis of dissertation interviews require careful planning and a clear understanding of the research question to ensure they contribute effectively to the overarching thesis. This guide aims to guide students with helpful tips for dissertation interviews.

Inhaltsverzeichnis

• 1 Dissertation Interview – In a Nutshell
• 2 Definition: Dissertation interview
• 3 Including a dissertation interview
• 4 Referring to a dissertation interview
• 5 Quoting a dissertation interview
• 6 Using the name of the interviewee from the dissertation interview

Dissertation Interview – In a Nutshell

• Transcribe the interview accurately for inclusion in the dissertation.
• Situations in which you cannot include a dissertation interview transcript in your appendix.
• How to quote a dissertation interview in your dissertation
• What to consider when using the name of the interviewee.

Definition: Dissertation interview

A dissertation interview is a method of primary data collection used in academic research, typically undertaken for a dissertation or thesis. It can be in the form of a structured, semi-structured, or unstructured interview between the researcher and the interviewee(s), with the goal of gaining detailed, firsthand insights into the research topic. The interview questions are formulated based on the research objectives, and the responses are used to support or explore the thesis argument in depth. The information derived from such interviews often complements secondary data or may serve as the primary basis for the research findings.

• Closed questions only allow for a limited number of predetermined answers.
• Open questions encourage individuals to contribute details of their thoughts and feelings.

Including a dissertation interview

You have conducted interviews as part of your descriptive study for your dissertation. How do you incorporate them? There is a high possibility you do not know what is anticipated since no one ever told you.

Transcribing interviews is a condition for using them in dissertations. This may be accomplished with the use of transcribing software. The transcripts of the interviews might be included as an appendix. Due to the length of the appendix, it may be necessary to submit it as a separate document after discussing your dissertation interview with your supervisor. It is essential to have proof that interviews were conducted.

Referring to a dissertation interview

Include the transcripts of the interviews in an appendix, and then refer to them throughout your dissertation via paraphrasing. This is how paraphrasing works:

• Interviewee A claims that (Appendix 1).
• Through conversation with B, it became apparent that (Appendix 1)

There may be cases when you cannot include a dissertation interview transcript in your appendix. If we cannot make any references to the interview, it may be cited in the following way if you are using the APA format .

• Person A claims that (Individual conversation, December 24th, 2012).

Quoting a dissertation interview

You must use quotation marks if you take someone else’s statements in a dissertation interview. Finding fascinating quotations will be much simpler if you understand how to pull useful data out of the individual during the dissertation interview. It’s important to maintain professionalism throughout the dissertation interview.

Using the name of the interviewee from the dissertation interview

Do not copy down the interviewee’s name without considering these two things:

If the identity is important to the study and you have obtained the interviewee’s consent to use it, then you can go ahead. You may use a description instead if you are not authorized to use the name.

How is an interview included in a dissertation?

Use a transitional phrase like “according to” or another reference when introducing your interview in the piece. Likewise, tailor your responses to the particular dissertation interview format you are using. Doing so will give your paper a more credible and convincing character.

Is there a certain number of questions posed in a dissertation interview?

Use two or three queries to get started. Research may become overwhelming in scope if excessive questions are asked. For this reason, you should begin with no more than two or three research topics, but some studies may have more.

When writing a dissertation, how long should an interview last?

They normally take 30 minutes to a few hours to complete and are only done once. It’s common practice in many fields to conduct interviews to gather information.

How likely is it that a dissertation interview will be turned down?

The truth is that defending a dissertation is tough and that some students have theirs turned down. All the academics showing you the ropes on how to write a dissertation that will get you accepted have been rejected at some time in their careers.

I’m so happy with how my dissertation turned out! The order process was very...

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How to Do Interview Transcription for a Dissertation?

Transkriptor 2024-04-23

Interview transcription is a key step in the dissertation process, transforming audio or video interviews into written text. This step allows researchers to closely analyze their data, providing a solid base for their findings.

Accurate transcription is vital in the dissertation process, turning spoken words from interviews into a written format that forms the backbone of qualitative research. It allows researchers to engage deeply with their data, marking significant sections and swiftly navigating through insights, thereby reinforcing the foundational evidence required for a compelling dissertation.

Meet Transkriptor , a leading speech-to-text tool designed to elevate the transcription process for researchers. This tool stands out for its ability to deliver precise, efficient transcriptions, making it an indispensable asset for dissertation work. By leveraging Transkriptor, researchers can ensure that their transcription process is not only faster but also more accurate.

The 6 steps to do interview transcription for a dissertation are listed below.

• Sign Up/Log in to Transkriptor: Create a new account or access an existing one.
• Upload/Record the Interview: Either upload audio/video files from your device or directly record the interview within Transkriptor for transcription.
• Start Transcribing Interview: Choose the language of the recording and let Transkriptor's AI technology accurately transcribe the speech to text.
• Review and Edit: Review and make adjustments to the transcription, ensuring it accurately reflects the interview content.
• Download or Share: After finalizing the transcript, download it in formats like TXT, SRT, or Word, or share it directly from the platform.
• Use the Transcriptions for Analysis: Utilize the accurate and detailed transcripts for in-depth analysis, identifying patterns, themes, and insights in your research.

Step 1: Sign Up/Log In to Transkriptor

The first step for researchers is to either sign up for a new account or log into an existing one on Transkriptor. This platform caters specifically to the needs of academic transcription, providing a streamlined interface for ease of use. Researchers can create an account using their Google accounts or an email address.

Upon completing this initial step, access to Transkriptor's dashboard is granted, allowing for immediate start on transcription tasks. This simple and straightforward process ensures that researchers can quickly begin their work, leveraging the platform's capabilities to facilitate their dissertation transcription needs.

Step 2: Upload/Record the Interview

After logging in, researchers have the capability to upload or record their audio or video files to Transkriptor. Simply click on the “Record” button to start recording. The platform supports a wide range of file formats, including but not limited to MP3, MP4, WAV, and MOV, accommodating virtually any type of audio or video recording used in academic research. Uploading is made flexible through options to drag and drop files directly into the platform or import them from popular cloud storage services like Google Drive or OneDrive. This feature ensures a seamless and secure upload process, allowing researchers to quickly proceed with their transcription tasks without worrying about compatibility or access issues.

Also, consider using Meetingtor . It attends and records the meetings in your calendar and stores them. With one click on the platform, users can get transcriptions via Transkriptor.

Step 3: Start Transcribing Interview

After uploading, researchers start the transcription process on Transkriptor by selecting the recording's language with one click. The platform's AI technology then accurately transcribes speech to text, supporting a broad range of languages to meet diverse research requirements. This ensures precise capture of spoken words, essential for qualitative analysis.

Step 4: Review and Edit

Transkriptor offers an editing feature that allows researchers to review and tweak the transcript while it's being created. This means immediate corrections can be made, helping to make sure the transcript matches the original recording closely. Being able to edit on the go is crucial for catching important details and ensuring the transcript accurately reflects the interview.

This process not only makes work easier but also improves the quality of the final transcript, which is important for research that relies on detailed and accurate data. Through Transkriptor, researchers can be confident that their transcripts are both precise and true to their source material.

Step 5: Download or Share

After editing their transcript, researchers can add details like speaker names and timestamps for clarity. Transkriptor allows downloading in various formats such as TXT, SRT, or Word , suiting different needs. For sharing, the platform enables direct distribution, making it simple to collaborate with others or submit work. This feature ensures transcripts are easily accessible and ready for any next steps in the research process.

Step 6: Use the Transcription for Analysis

Researchers proceed to analysis by coding and organizing data based on the dissertation's methodological framework after completing transcription. This involves identifying patterns and themes and providing meaningful insights from the interview content.

Moreover, researchers can leverage Transkriptor's AI chat feature for additional support during their analysis. This innovative tool assists in interpreting and organizing transcribed data. By integrating AI chat assistance with traditional analysis methods, researchers can navigate the coding process with greater accuracy and generate robust, meaningful outcomes in their research endeavors, making Transkriptor an invaluable ally in qualitative research.

Why is Transcription Crucial for Dissertation Interviews?

Transcription plays a crucial role in dissertation interviews. It accurately captures and preserves spoken words, ensuring data integrity and reliability. Researchers prefer working with transcripts for analysis despite the accessibility of audio and video recordings. This preference arises from easily handling tangible transcripts, facilitating quick access and annotation.

Digital recorders and cameras make recording easy, but transcripts remain more manageable for detailed analyses. Researchers find it advantageous to shuffle pages and mark transcripts with a pencil. The familiarity and convenience of working with paper transcripts persist, even with the availability of qualitative data analysis software. Traditional transcription methods remain the norm for interviews and recordings involving people.

How to Prepare Before Transcribing Dissertation Interviews?

Researchers prepare before transcribing dissertation interviews by considering essential factors. This phase involves organizing recordings, investing in quality equipment, and setting up an efficient workspace.

The steps to prepare before transcribing dissertation interviews are listed below.

• Review Interview Objectives: Gain a clear understanding of the research aims and contextual details.
• Ensure Good Quality Recordings: Focus on acquiring clear and crisp audio, minimizing background noise, and addressing technical glitches.
• Create a Comfortable Workspace: Establish an environment that promotes focus, concentration, and optimal listening.
• Understand Ethical Guidelines: Be aware of confidentiality requirements and relevant data protection rules.

Review Interview Objectives

Researchers initiate transcription by thoroughly reviewing the interview objectives. This involves gaining a clear understanding of the research aims and contextual details. Aligning transcription efforts with these goals ensures purposeful and insightful outcomes. Researchers must delve into key themes, critical topics, and specific study objectives for a detailed transcription decision-making process, fostering a deeper analysis.

Ensure Good Quality Recordings

Prioritizing high-quality audio recordings is essential for effective transcription. Researchers focus on acquiring clear and crisp audio, minimizing background noise, and addressing technical glitches. Checking for audio clarity involves evaluating factors like background noise and potential distortions. Starting with a high-quality recording establishes a reliable foundation for accurate transcription, ensuring an authentic representation of the interview content.

Create a Comfortable Workspace

Crafting a dedicated and comfortable workspace is crucial for the transcription process. Researchers establish an environment that promotes focus, concentration, and optimal listening. A well-designed workspace minimizes distractions, enhancing the ability to immerse in interview content. Consider lighting, seating arrangements, and equipment placement to optimize the workspace for transcription demands.

Understand Ethical Guidelines

Researchers engaging in transcription activities must possess a profound understanding of ethical guidelines. This involves being aware of confidentiality requirements and relevant data protection rules. Upholding ethical standards ensures the responsible treatment of interview participants and their sensitive information.

The commitment to ethical transcription practices includes obtaining informed consent, preserving anonymity, and safeguarding data confidentiality, contributing to the overall integrity of the research process.

What are the Challenges in Transcribing Interviews?

Researchers face critical challenges when preparing for the transcription process. Various hurdles impact accuracy and efficiency, requiring a keen understanding of effective mitigation strategies.

The challenges in transcribing interviews are listed below.

• Poor Audio Quality: Prioritize addressing poor audio quality for accurate transcription.
• Fast-Paced Speech Challenge: Fast-paced speech is difficult to follow and transcribe. Use transcription software or slow down the playback.
• Accents and Dialect Challenge: Navigating the variability introduced by accents and dialects in spoken language requires researchers to adopt specific approaches.
• Background Noise Challenge: Background noise hinders the transcription process, emphasizing the need to create an optimal recording environment.
• Technical Jargon Challenge: Researching technical or unfamiliar terms is essential for grasping their meanings for an accurate transcription.

Poor Audio Quality

Researchers must prioritize addressing poor audio quality for accurate transcription. High-quality recording equipment is pivotal in this process. Investing in noise-canceling software further enhances the clarity of the recorded content, ensuring the faithful representation of spoken words and eliminating potential discrepancies introduced by subpar audio.

Fast-Paced Speech Challenge

Fast-paced speech in transcription demands specific strategies. Utilizing transcription software with adjustable playback speed proves valuable. Slowing down the playback without altering the pitch lets researchers meticulously capture each spoken word. This detailed approach significantly improves transcription accuracy, especially with rapid speech patterns.

Accents and Dialects Challenge

Navigating the variability introduced by accents and dialects in spoken language requires researchers to adopt specific approaches. Familiarize yourself with the specific linguistic characteristics to overcome challenges related to unfamiliar accents. Seeking assistance from individuals proficient in the accent or dialect provides valuable insights, ensuring accurate transcription that reflects the intended communication.

Background Noise Challenge

Background noise hinders the transcription process, emphasizing the need to create an optimal recording environment. Conducting interviews in quiet settings minimizes external disturbances. Additionally, transcription software with noise reduction features proves instrumental in mitigating unwanted sounds during transcription. This dual approach significantly contributes to the overall accuracy of the transcription.

Technical Jargon Challenge

Ensuring accurate transcription when dealing with technical jargon requires a proactive approach. Thoroughly researching unfamiliar terms is essential for grasping their meanings. Alternatively, consulting with the interviewee or subject matter experts provides valuable insights and clarification. This meticulous approach guarantees the transcription captures the intended meaning, even when confronted with specialized language or terminology. Researchers navigate the intricacies of technical content with precision and clarity.

To Overcome Interview Transcription Challenges: Transkriptor

Transcription challenges such as poor audio quality, fast-paced speech, accents, background noise, and technical jargon can significantly hinder the accuracy and efficiency of the transcription process. To overcome these challenges, Transkriptor stands out as a robust solution, employing advanced AI algorithms for precise and reliable transcriptions, minimizing errors.

Transkriptor not only ensures that the transcribed text represents the spoken words but also streamlines the entire process, making it a comprehensive solution for enhancing dissertation transcription accuracy. Try it for free!

Frequently Asked Questions

It depends on your time, budget, and the level of accuracy required. Transcribing interviews yourself can be time-consuming but offers closer engagement with your data. Professional services, like Transkriptor, can save time and provide high-quality transcripts, but at a cost.

The format depends on your research needs. Verbatim transcription captures every word and sound, which is useful for detailed analysis.

Mark these sections with a standard notation (e.g., [inaudible] or [unclear]) and the timestamp. If possible, ask the interviewee for clarification on these parts. Consistency in handling these sections is key for accurate analysis.

Follow your academic institution's guidelines for citing primary research data. Typically, you would reference the interviewee (as per your ethics agreement), the date of the interview, and possibly a transcript reference number or page number.

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Interviewing People for Your Dissertation Research

Writing a dissertation for dummies.

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A great way of getting the data you need for your dissertation research question is by interviewing people. You can approach interviewing in a number of ways; the methods you choose depend on what you’re trying to find out. The kinds of methods you can choose include:

Life history

Racial or cultural groups

However, the most common interview methods used for undergraduate dissertations are one-to-one, semi-structured or structured methods and I’m focusing on these methods in the following sections.

Before deciding on using interviewing as a way of generating empirical data you need to think about the advantages and disadvantages of conducting interviews:

Advantages: The flexibility that interviewing allows. You can change the direction of discussion in an interview and capitalise on ideas that come up that you didn’t expect.

Disadvantages: The biggest problem with interviews is the amount of preparation you have to put in and the amount of follow-up time needed (plus the time taken on the interview itself).

The quality of an interview depends on both the interviewer and the person being interviewed. You only have control over how well you carry out the interview and no matter how carefully you choose your subject, you can’t predict the worth of her responses.

Whether you choose a semi-structured or structured method of interviewing, your main task is to listen. The interview is about the person you’re interviewing, and not about you. Keep your comments on the answers you’re given to a minimum.

To help you decide who you want to interview and which method of interviewing to use, you need to think about exactly what kind of data you want to collect. Start by making a list of the sort of facts you’re trying to discover.

You can choose to interview individuals or small groups. When you conduct an interview with a group it’s usually known as running a focus group, which just means that there’s more than one subject and you’re focusing on a particular issue or concern. The points in this section about interviewing are directed mainly at one-on-one interviews, but are also relevant to focus groups.

Preparation is key. Work out what you need to do to make sure that your interview is worthwhile and that you go into the interview with everything planned and organised.

Here are some practical steps to take before carrying out an interview:

Discuss your plans with your tutor or supervisor and get your plans agreed before you go further.

Contact the person you want to interview (by phone, email or letter) and after introducing yourself set out what you’re trying to achieve by doing the interview.

Make an appointment with the person you want to interview at a time to suit her.

If appropriate, make sure that you get permission from your subject to record the interview.

Discuss the timing of the interview with the person you’re interviewing making sure you’re both clear how long the interview is going to take and that you have somewhere suitable to carry out the interview.

Make sure that you’re thoroughly prepared – that you’ve clearly noted your list of questions in the order you’re going to ask them and check that you have pens, pencils, batteries and any other equipment you may need.

Be sure to give yourself enough time for getting to your interview destination; having made certain that you’re expected.

About This Article

This article is from the book:.

• Writing a Dissertation For Dummies ,

About the book author:

Dr Carrie Winstanley is a Principal Lecturer in Education at Roehampton University, London, where she works with both undergraduate and postgraduate students. Carrie was recently named one of the Top 50 university teachers in the UK by the Higher Education Academy, for which she was awarded a national teaching fellowship.

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How Do You Incorporate an Interview in a Dissertation?

by  Antony W

February 19, 2022

The first step to writing a dissertation is to conduct in-depth research, and one of the ways to get the data for the assignment is to conduct a series of interviews with people who have experience in your field of research. But how do you incorporate an interview in a dissertation?

There’s a high chance your instructor hasn’t touched on this topic yet, and therefore it’s highly likely that you don’t know what they expect to see.

Fortunately, including interviews in your dissertation isn’t difficult at all. In this guide, you’ll learn the right way to include interviews in your thesis or dissertation assignment.

How to Incorporate an Interview in a Dissertation

There are two steps to include an interview in a dissertation paper. You first have to transcribe the interview and then add the written transcript to your document.

Transcribing Your Interview

Transcribing an interview takes time, but it’s the only option you have if you must include an interview in your dissertation. You can use a transcription software to do the work yourself, or hire a transcription service to save time.

To transcribe an interview to include in your dissertation:

• Choose your transcription method
• Determine which transcription software to use
• Transcribe the audio
• Analyze the transcript and then

Here’s a further explanation for these steps for better understanding and more clarity:

Choose Your Transcription Method

There are three forms of transcription methods, and the one you choose to use depends on what you would like to achieve.

• Verbatim transcription: This is where you write every word and expression of emotions of the interview. Note that this transcription method is suitable in the type of research where you’re interested in what someone said and how they said what they said.
• Intelligent verbatim transcription: Here, you write every word you here, but you filter out fillers that don’t add value to the text. Feel free to enhance readability by shortening long paragraphs, fixing broken sentences, and correcting grammar mistakes. By using this method, you assume that you’re not interested in expression of hesitation and emotion because you lose them in the process.
• Edited transcription: This is an edited version of the intelligent verbatim transcript. Here’s where you remove fillers and irrelevance sentences from the transcript to enhance the relevance of the story.

Choose a Transcription Software

Now that you’ve determined your transcription method, it’s the next step is to choose a software solution that you can use to convert speech to text.

While transcribing takes time, developers are working around the clock to develop solutions that can make the process easy.

With the availability of transcription software solutions that work well, you can speed up the transcription process and have your transcript ready within the shortest time possible.

When choosing a transcription software for the interview for your dissertation, it’s important to choose an option that guarantees conversion accuracy.

Therefore, you should consider a transcription software that’s not only easy to use but also accurate when it comes to converting speech to text.

Examples of transcription software that you can use include:

• Happy Scribe: We recommend this software because it features a clean, user-friendly editor. In addition to easily recognizing the speaker, Happy Scribe can omit fillers and correct the use of periods and capitalization. The only problem with it is that it doesn’t insert punctuations except for periods.
• Trint: Trint transcription software has a very simple interface, so it should be easy to figure out. It can ignore music from videos and it has a decent level of speaker recognition. Like Happy Scribe, Trint won’t insert punctuation in the transcript except for periods.
• Transcribe: The Transcribe software is another cheaper solution with great speaker recognition. The best thing about this software is that it even includes punctuation and can places commas where appropriate.

Transcribe the Audio

This should be a no brainer because you’ve already figured out what transcription method you would like to use.

We do like to recommend the edited transcription option because it omits fillers and irrelevant sentences to enhance clarity, relevance, and accuracy.

You may have to alter the transcript if the quality of the audio of the interview wasn’t up to the best standard.

You can also make changes to the transcript if you feel like the conversation would come out well with additional clarification.

Analyze the Transcript

The final step in transcribing an interview for your dissertation is to analyze the transcript using the coding and categorizing technique.

The technique looks at the link between keywords and the answers given to the questions, which is what makes it possible for you to find the connection between the answers that different respondents give.

Adding Your Interview to the Dissertation

Here’s where you take the transcribed version of the interview and add it to the appendix section of your dissertation.

Depending on the length of the interview, the appendix can be small or extremely large.

Shorter interviews won’t make the appendix long, so it’s fine to include it as part of the dissertation assignment.

Longer interviews, on the other hand, can easily make the appendix extremely large.

In such a case, it’s important to consult your supervisor to determine whether it would be fine to submit the appendix as a separate document.

Once you add an interview to the appendix section of your paper, you’re free to refer to them in the body section of the dissertation by paraphrasing.

Note that you will need to quote the interview if you have copied the words of the interviewee word-by-word. You might have to go back to the interview to get some interesting quotes to include in your dissertation.

One last thing you need to consider is the name of the interviewee. First, ask the interviewee if it would be okay to mention their names in your paper. Some people prefer to be anonymous, especially if they’ve shared personal information with you. Second, determine whether adding the name of the interviewee would add value to the dissertation.

About the author 

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

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A CDK Global system outage has affected nearly every aspect of the Mazda dealership in Seekonk, Massachusetts, where Ryan Callahan is general sales manager. He says it won’t be a simple fix.

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Deveney said one customer got increasingly agitated because he couldn’t register his car. “Getting an appointment might take three or four days, and in that time they aren’t really able to drive their cars,” he added.

Some 30 miles north in Lynn, Katelyn Salvato says she hasn’t been able to register a vehicle since last Tuesday. Salvato works as a title clerk for Pride Motor Group, registering cars for three dealerships.

“Today… I sent 21 registrations to be done manually at the Massachusetts RMV,” she said, adding that the RMV won’t accept transactions from dealership employees. “The transactions must be dropped off within the designated hours (of 10 am to 3 pm), and the runner can’t wait for them.”

Callahan echoed those concerns. Under normal circumstances, the CDK software allows the dealership to register a vehicle almost instantaneously, but now the process faces heavy delays.

“Our remote registration system is rendered useless without CDK to talk to it. We’ve had to send a runner with the registrations to the DMV to be competed in packs, costing several days where prior it took hours,” Callahan said in an interview with CNN.

If a vehicle isn’t registered within seven days of purchase, the state penalizes both the dealership and customers.

The Massachusetts Department of Transportation, which oversees the state’s RMV, has not responded to CNN’s request for comment.

Service and sales go analog

Salespeople and service employees who spoke with CNN say they’ve resorted to using pen and paper to process purchases, which has drawn out the amount of time it takes to buy a car, according to Scott Campbell, a salesman at Capital City Buick GMC in Berlin, Vermont. He estimates wait times have doubled or tripled.

Nicolas, who declined to provide his full name because he was unsure about his employer’s stance on speaking to the media, is a clerk in the parts department of a Porsche dealership in Los Angeles. He said he has been using “a mix of pen and paper, Excel sheets, and extra care for each invoice” since the shutdown.

Since many dealerships use CDK products to manage inventory, Nicolas said his department is now forced to manually record inventory parts, which slows their work down significantly. “We don’t have clear view of stock and have to do regular inventory on our most used parts,” he added.

But sometimes the analog workarounds are not enough.

Delays at dealerships

Several buyers and repair customers tell CNN they’ve experienced long delays.

Don Aycock told CNN he drove 90 miles round-trip from his home to a car dealership in Clay County, Florida, to buy a new Buick on Thursday, a day after the CDK shutdown. He told CNN he was able to buy the car but was unable to sign the title.

“We got a call from them today that we can come next Thursday to sign the paperwork for the title and get a permanent license plate,” he said, noting that it will be another lengthy round-trip drive.

In San Diego — where temperatures in recent days have been pushing 90 degrees — Robbie Jacob and his wife tried to make an appointment at a Kia service center to fix their car’s broken air conditioning unit. Jacob said the center told them it was unable to service the car, citing the CDK cyber incident, as there were no appointments available and all walk-ins were suspended until next week.

Other software providers take note

CDK Global isn’t the only management system used by dealerships, and the back-to-back cyber incidents affecting the company have put their competitors on high alert, as well.

Cox Automotive, which operates the Dealertrack and VinSolutions software systems to manage documents and customer service, told CNN that it temporarily stopped integrating its systems with CDK after the outage “as a precautionary measure to prioritize safety and security for our clients.”

“While actively supporting our customers to continue to run their business, we established a secure microsite that our customers are actively using now to access support and guidance, work-arounds and actions they can take while CDK systems are not available,” the company said.

Tekion, another software company used by dealerships, said it has “seen an increase in inquiries from dealers in light of the recent CDK incident.”

And other industry experts told CNN that switching from one system to another is not an action that dealerships can just take on a whim. Businesses are often locked into a multi-year contract with a software provider. Switching software also means training employees, making it a lengthy process.

Meanwhile, Asbury Automotive Group, one of America’s largest care retailers and service providers, warned investors Monday that the CDK outage has hurt its business, and it’s unclear when it will end. Rival Group1 Automotive said CDK believed the outage would be resolved in days , not weeks, but it was unclear how much financial damage the company faced as a result.

CNN’s Nathaniel Meyersohn contributed to this reporting.

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• Knowledge Base

Methodology

• Transcribing an Interview | 5 Steps & Transcription Software

Transcribing an Interview | 5 Steps & Transcription Software

Published on April 25, 2019 by Raimo Streefkerk . Revised on June 22, 2023.

Transcribing is converting speech to text word for word. Transcribing is a common practice when conducting interviews because it enables you to perform analysis.

How to transcribe an interview in five steps:

• Choose your preferred transcription method
• Transcribe the audio (using transcription software )
• Add speaker designation and time stamps
• Clarify the transcript where needed
• Proofread the transcript, looking out for any mistakes that can lead to information bias or omitted variable bias

Transcription software comparison

Table of contents

Transcription methods, altering the transcript, example transcript, analyzing interview transcripts, transcription software, other interesting articles.

Before you start transcribing, you first need to determine what transcription method you want to use. The best method depends on the goal of your transcription.

Verbatim transcription

Write down every single word, including pauses, the expression of emotions such as laughter, stuttering, and hesitations such as “uh”.

This type of transcription is mostly used in the legal profession or in research where you’re not only interested in what is said but also how it is said.

Intelligent verbatim transcription (most common)

Write down every word, but without irrelevant fillers like “uhm”, “yeah”, “you know” etc. To improve readability, you can also fix grammar mistakes, broken sentences and long paragraphs.

This method is more readable than verbatim transcription, but some data—such as emotions, pauses and hesitation—is lost in the process.

Edited transcription

A summarized and edited version of an intelligent verbatim transcript. In addition to omitting fillers like “you know”, irrelevant sentences can be omitted if it doesn’t change the meaning of the story.

If the audio quality is bad or the conversation itself needs clarification, you are allowed to make changes in the transcript. For instance:

• Adding a clarifying comment: “I showed him that this option [raising prices] would be beneficial for profitability.”
• Marking unclear / missing audio with ellipses: “I showed him … would be beneficial for profitability”
• Emphasizing words: “ Increasing prices is needed for profitability”

There are no rules for formatting and structuring a transcript. However, most transcripts contain the following information:

• Names of the interviewer and interviewee (can be anonymized)
• Date and time when the interview took place
• Location of the interview
• Speaker designation (who says what?)
• Line numbers and time stamps (optional)

After transcribing the interview(s) it is time to start analyzing. There are several techniques for doing this—coding and categorizing is one of them.

This means that you link keywords (e.g., “understanding customer”) to the answers you’ve received to your questions. Based on these keywords you are able to find connections between the answers of different respondents.

You can also use methods such as content analysis , thematic analysis or discourse analysis .

If you quote from an interview in your research paper , make sure you correctly cite the source. Learn how to cite an interview in MLA and APA .

Transcribing interviews takes a lot of time, but luckily transcription software is developing quickly! Using transcription software can help you speed up the process.

Most software is able to accurately convert English speech to text. However, the audio quality must be good in order for the software to work. That means a noise-free background, no over-talk, clear accents and good microphones.

If the audio quality is too poor for automatic transcription, you unfortunately have to dictate it or transcribe it manually.

We tested and reviewed the transcription software below using the audio of a YouTube video in which Bill Gates is interviewed . The audio meets all the criteria listed above.

Happy Scribe

• Speaker recognition
• Clean and intuitive editor
• Omits ‘uhs’ and stuttering
• Correct capitalization and use of periods
• 25% student discount
• Doesn’t insert punctuation (except for periods)

• Good speaker recognition
• Simple but powerful interface
• Comment and highlight feature
• Ignores intro music from video
• Easy to keep track of reviewing progress
• Some missing spaces

• Solid speaker recognition
• Very good capitalization and punctuation (including commas )
• Much cheaper than other transcription software
• Just a 1-minute trial
• Dated editor with limited functionality
• Doesn’t connect audio and transcript
• $20 annual license fee

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

• Normal distribution
• Measures of central tendency
• Chi square tests
• Confidence interval
• Quartiles & Quantiles
• Cluster sampling
• Stratified sampling
• Thematic analysis
• Cohort study
• Peer review
• Ethnography

Research bias

• Implicit bias
• Cognitive bias
• Conformity bias
• Hawthorne effect
• Availability heuristic
• Attrition bias
• Social desirability bias

Cite this Scribbr article

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• Data governance

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Evaluating data quality requires clear and measurable KPIs

Kpis and metrics are necessary to measure the quality of data. organizations can use the dimensions of data quality to establish metrics and kpis for their specific needs..

• Mary K. Pratt

Understanding how to identify and measure the quality of data using KPIs can make or break data initiatives.

Quality data is the foundation of any successful data-driven organization. Enterprise leaders must recognize that high-quality data is essential to powering analytics- and intelligence-driven products and services. Advanced analytics and AI strategies can generate value and differentiate a company from its competitors.

Data quality is one of organizations' highest priorities as they confront the consequences of poor data quality, said Natalia Demidova, former principal director at Info-Tech Research Group. Consequences can include inaccurate analysis, faulty decisions, missed opportunities and a loss of trust among partners and customers.

Many organizations are still creating processes to determine the level of quality required for their data-driven uses and ensure that data meets or exceeds minimum thresholds.

Organizations know they should pay attention to data quality, but they're sometimes reluctant to give it the credence it deserves, said Karen Bourne, director and data experience advisor at the consultancy Guidehouse.

Ensuring good quality data is an important first step to using AI, machine learning and generative AI programs. This is where key performance indicators ( KPIs ) can help. KPIs enable organizations to determine the current state of data quality and monitor quality improvements or possible degradation over time.

Data quality dimensions vs. KPIs

Data quality dimensions.

Various factors that arise during the data lifecycle -- which runs from data creation to enterprise consumption -- can lead to poor quality, Demidova said. Inaccurate data might include misspelled names, duplicate data for the same event or obsolete data.

Data practitioners use a list of dimensions for assessing data quality. Most use some or all the dimensions established by the Data Management Association (DAMA). The exact terms used for these dimensions can vary from one organization or practitioner to another, as do the number of dimensions used for assessing data quality. Most lists include the most popular 6 dimensions of data quality : accuracy, completeness, conformity, timeliness, validity and uniqueness. Some lists also include believability, integrity and relevancy and other additional dimensions.

Each dimension speaks to a particular collection of factors that can affect the quality of the data, and those factors come into play at different points in the data's lifecycle, said Igor Ikonnikov, research and advisory director in the data and analytics practice at Info-Tech Research Group.

Data quality dimensions, KPIs and metrics are all different. Enterprise executives must understand data quality dimensions from a business perspective so they can establish metrics for determining whether their data meets the minimum quality levels required, said Danielle Beringer, principal at the professional services firm KPMG.

Metrics and KPIs shouldn't be just measurable but should have context for the area in which they're used; data quality is business contextual. Danielle Beringer Principal, KPMG

Data leaders, along with their executive colleagues in business and IT, should determine which data quality dimensions to track minimum acceptable levels of quality for each dimension using metrics or KPIs.

"All of those should be measured, but the context for how they're measured should depend on the organization," Beringer said. "So, metrics and KPIs shouldn't be just measurable, but should have context for the area in which they're used; data quality is business contextual."

Organizations should measure the quality of data at rest and as it moves through the ecosystem, she said. Some organizations might want to be more expansive in how they measure their data quality by moving beyond the DAMA dimensions and similar lists.

Data leaders could opt to create people-centric metrics and KPIs, such as measures for average time to insight by persona, Beringer said. They could also create technology-based metrics and KPIs, such as what percentage of data comes from external sources.

Process-centric measurements might include measures on the percentage of reports run on data not certified for its quality versus how people use certified data.

Data management, data governance and data observability tools generally offer capabilities that data teams can use to measure and report on data quality. Reports help teams determine if they're meeting, exceeding or falling short of their target KPIs.

Data quality KPI examples

The use of KPIs is not new to data teams. Many teams use technical-oriented KPIs, which include the following:

• Number of incidents: How many data errors or security incidents that might compromise data occur.
• Time-to-response: The time between incident detection and a response from the data or IT team.
• Time-to-value: How long it takes to analyze data, generate insights and create value.
• Unused data: The number of unused or outdated tables or dashboards.
• Missing data: The number of missing entries or values in a data set.
• Storage cost: The cost of storing all the organization's data.

In contrast, data quality metrics are business driven, Bourne said.

"The question of whether the data you're using to make decisions is good enough, that's more on the business side," Bourne said. "Data does not have to be perfect to be good enough to use in business operations."

Each organization must determine what good enough means and use KPIs to determine if they're above or below their own threshold. The results dictate what action occurs.

"You create business rules around the data quality dimensions, and those rules are how you're going to measure data quality," Bourne said. "And the metrics are those that you're going to say, for example, 'for this data set in this timeframe, this is our defect rate.' And then KPIs are getting to indicators on whether to say 'use caution when using this data' or 'it's good to use.'"

Business uses for KPIs

Establishing metrics and using KPIs for data quality enables the assessment of data quality in a data-driven way, which is not done in most organizations, Bourne said.

KPIs provide insight into the state of an organization's data quality. Organizations can track improvements over time, alert users to high-quality data and warn users about poor quality data.

Additionally, KPIs can help data teams identify problematic areas, such as technical bottlenecks in the infrastructure layer that are causing low scores, Bourne said. Teams can work on addressing the underlying issues and then monitor KPIs. Improving figures indicate the fixes worked.

Data teams can create dashboards that allow users to delve into data quality metrics, Bourne said. For example, a dashboard could show the percentage of records excluded from a data set so users can determine if the exclusion rate is low enough to produce a valid analysis.

KPIs can also certify the quality of data products and create visual cues to let users know the certification status or KPI calculation frequency. Data teams can report how often they're monitoring data quality and collecting KPIs.

It's important to keep KPIs updated with current business goals. Some organizations have KPI scorecards, review KPIs on a regular schedule and use KPIs to hold teams accountable for data quality, Beringer said.

Mary K. Pratt is an award-winning freelance journalist with a focus on covering enterprise IT and cybersecurity management.

Related Resources

• Autonomous Governance for Healthcare - An IDC Research Readout –Red Hat
• How To Know If Your Organization Is Ready For Data Governance Software –Veritas
• How to Narrow Down Your Choices for Buying a Data Governance Tool –Veritas
• Taking Your Enterprise Data Governance Plan Up a Notch –Veritas

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Watch CBS News

U.S. surgeon general declares gun violence a public health crisis

Updated on: June 25, 2024 / 10:26 PM EDT / CBS/AP

The U.S. surgeon general on Tuesday declared gun violence a public health crisis , driven by the fast-growing number of injuries and deaths involving firearms in the country.

The advisory issued by Dr. Vivek Murthy, the nation's top doctor, came as the U.S. grappled with another summer weekend marked by mass shootings that left dozens of people dead or wounded.

"People are scared in many communities I visit around the country to do normal things like go to school or the grocery store or work and they're worried about the risk to their life," Murthy said in an interview with "CBS Mornings" on Tuesday.

To drive down gun deaths, Murthy calls on the U.S. to ban automatic rifles, introduce universal background checks for purchasing guns, regulate the industry, pass laws that would restrict their use in public spaces and penalize people who fail to safely store their weapons.

None of those suggestions can be implemented nationwide without legislation passed by Congress, which typically recoils at gun control measures. Some state legislatures, however, have enacted or may consider some of the surgeon general's proposals.

Murthy said there is "broad agreement" that gun violence is a problem, citing a poll last year that found most Americans worry at least sometimes that a loved one might be injured by a firearm. More than 48,000 Americans died from gun injuries in 2022.

"People want to be able to walk through their neighborhoods and be safe," Murthy told The Associated Press in a phone interview.  

Murthy's advisory promises to be controversial and will certainly incense Republican lawmakers, most of whom opposed Murthy's confirmation — twice — to the job over his statements on gun violence.

Murthy has published warnings about troubling health trends in American life, including social media use and loneliness. He's stayed away from issuing a similar advisory about gun violence since his 2014 confirmation as surgeon general was stalled and nearly derailed by the firearm lobby and Republicans who opposed his past statements about firearms.

Murthy ended up promising the Senate that he did "not intend to use my office as surgeon general as a bully pulpit on gun control."

Then-President Donald Trump dismissed Murthy in 2017, but President Joe Biden nominated Murthy again to the position in 2021. At his second confirmation hearing, he told senators that declaring guns a public health crisis would not be his focus during a new term.

But he has faced mounting pressure from some doctors and Democratic advocacy groups to speak out more. A group of four former surgeon generals asked the Biden administration to produce a report on the problem in 2022.

"Take this issue out of the realm of politics"   

"It is now time for us to take this issue out of the realm of politics and put it in the realm of public health, the way we did with smoking more than a half century ago," Murthy told the AP.

A 1964 report from the surgeon general that raised awareness about the dangers of smoking is largely credited with snubbing out tobacco use and precipitating regulations on the industry.

Children and younger Americans, in particular, are suffering from gun violence, Murthy notes in his advisory called "Firearm Violence: A Public Health Crisis in America." Suicide by gun rates have increased significantly in recent years for Americans under the age of 35. Children in the U.S. are far more likely to die from gun wounds than children in other countries, the research he gathered shows.

"My hope is that if we understand this as a kid's issue that we will raise it on the priority list, that we will see it not as a political issue but as a public health issue that should concern all of us," Murthy said.

In addition to new regulations, Murthy calls for an increase on gun violence research and for the health system — which is likely to be more amenable to his advisory — to promote gun safety education during doctor visits.

"The good news is there's a lot we can do," he said on "CBS Mornings." "There are, for example, community violence intervention programs that we can invest in. There are safe storage education programs that we can expand. There are firearm risk reduction strategies like background checks and other measures that would seek to create time and space between firearms and individuals who would seek to harm themselves and others."

Last week, the Centers for Disease Control and Prevention reported  rates of gun injuries  last year remained above levels seen before the COVID-19 pandemic for a fourth straight year. Preliminary CDC  data  on gun deaths also show rates last year remained worse than in 2019 nationwide, despite a slowdown off of peak levels in 2020 and 2021.

A new FBI report released Monday showed that active shooters  violently targeted members of the public across the U.S. at a rate that was 89% higher from 2019 to 2023 than in the previous five-year period. Last year, 105 individuals were killed during those active shooting incidents, the highest level in recent years. 

The public safety numbers released Monday by federal investigators showed a mix of slight year-over-year improvements in some areas of concern across the country — including a 4% decrease in active shootings in 2023 compared to 2022 — and small drops in other metrics, like total casualties and "mass killing" events.

Throughout the U.S., 244 victims were shot by active shooters last year; 139 were injured and 105 were killed. Compared to the previous year, total casualty rates — injuries and deaths combined — were down from 313 in 2022, but five more people were killed in 2023 than in 2022. 

Those incidents represent just a fraction of the overall toll of gun violence. On average, gun homicides killed more than 53 people per day in the U.S. in 2022, according to CDC data .

Alexander Tin, Rob Legare and Kelsie Hoffman contributed to this report.

• Gun Violence

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Roberta Kaplan Launches New Boutique With Former Prosecutors (1)

By Erik Larson and Tatyana Monnay

Roberta Kaplan, the veteran trial lawyer who represented New York writer E. Jean Carroll in her landmark lawsuits against Donald Trump, is leaving the firm she founded seven years ago to start a new outfit with a trio of close friends.

The litigator is departing Kaplan Hecker & Fink to start a boutique that will focus on civil litigation, internal corporate investigations and strategic advisory, she said Wednesday in a statement. Tim Martin, another Kaplan Hecker & Fink partner, is leaving with her. The new firm will be called Kaplan Martin.

Kaplan Hecker & Fink’s unexpected growth to more than 100 lawyers and staff nudged Kaplan to make a change, she said, just three years after she and her colleagues celebrated the opening of an expanded office at the Empire State Building. She also said she wants to focus less on white collar matters, now a focus at her old firm.

“It’s really that the firm grew rapidly, which is great, but it grew in size and complexity beyond what I had in mind and I wanted to get back to something nimbler,” Kaplan said in an interview.

Kaplan, who won a landmark Supreme Court victory for same-sex couples in 2013, rose to further prominence through Carroll’s lawsuits against Trump. Carroll in 2019 went public with her claim that Trump raped her in a department store dressing room in the 1990s, and then sued him for defamation after he called her a liar. Then she sued Trump for sexual abuse when New York temporarily lifted the statute of limitations on such claims.

Kaplan won both cases. A federal jury in Manhattan found Trump liable for sexual abuse and ordered him to pay Carroll $5 million. Another New York jury found Trump liable for defamation and awarded Carroll $83.3 million. Trump has appealed both verdicts.

Kaplan’s departure had been in discussions at the firm for many months, according to a person familiar with the matter.

The move will test Kaplan’s ability to bring her clients with her — again. She said all of her clients, with one exception, followed her when she left Paul, Weiss, Rifkind, Wharton & Garrison, the large firm where she worked for 25 years, to co-found Kaplan Hecker & Fink in 2017.

“Robbie’s contributions to the firm have been immeasurable,” Kaplan Hecker & Fink said in a statement. “We know Robbie will continue to change the world from her new perch and look forward to continuing to work together.”

Along with Kaplan and Martin, the firm’s two other founding partners are Steven M. Cohen and Mitra Hormozi, both of whom are former federal prosecutors with close ties to Andrew Cuomo, the ex-New York governor who left office under a cloud of sexual harassment claims.

Cohen and Martin both served as general counsel at Ronald Perelman’s investment vehicle MacAndrew & Forbes Holdings and worked closely together while at the firm. Hormozi was general counsel at Revlon Inc., where MacAndrew & Forbes was the largest shareholder before the cosmetic company’s 2022 bankruptcy. She made more than $752,400 as a director last year at Apollo Global Management Inc.

Cohen was secretary to Cuomo when he was governor and served as counselor and chief of staff to when Cuomo was the state’s attorney general. Cuomo appointed Hormozi in 2011 to chair the Commission on Public Integrity, which looked into ethics violations by public officials and lobbyists.

Kaplan’s own ties to Cuomo came back to bite her during the former governor’s harassment scandal. She stepped down from Time’s Up, a group supporting victims of sexual harassment, in 2021 after a state investigation revealed her role in helping Cuomo fight off harassment allegations, which he continues to deny.

In addition to her suits against the former president, she sued a group of White supremacists who rioted in Charlottesville, Virginia, a case she won at trial. She represented the Center for Countering Digital Hate after the nonprofit was sued by Elon Musk’s X Corp. over a report saying the social media platform once known as Twitter “is overwhelmed with harmful content.” Kaplan won dismissal of the case. Musk has appealed.

Not all of Kaplan’s suits against Trump have paid off. In 2018, she sued Trump, his company and three of his adult children on behalf of a small group of investors who claimed he lied in his pitches on The Apprentice for a multi-level marketing company. A judge denied Kaplan’s request for class-action status and threw out claims that kept the case in federal court.

In May, Columbia University hired Kaplan to defend it in a Jewish student’s lawsuit over the school’s handling of pro-Palestine protests on campus. Columbia in June agreed to appoint a liaison over its Public Safety Escort Program through the end of the year as part of a settlement of the proposed class action.

Cohen said he will remain a member of Blue Raven, a legal advisory services firm he launched in 2020 after leaving MacAndrews. It will be integrated into the firm as a separate arm best suited for consulting independent directors of public companies.

To contact the reporters on this story: Erik Larson at [email protected]; Tatyana Monnay at [email protected]

To contact the editors responsible for this story: John Hughes at [email protected]

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