interviews research advantages and disadvantages

Advantages and Disadvantages of Interview in Research

Approaching the Respondent- according to the Interviewer’s Manual, the introductory tasks of the interviewer are: tell the interviewer is and whom he or she represents; telling him about what the study is, in a way to stimulate his interest. The interviewer has also ensured at this stage that his answers are confidential; tell the respondent how he was chosen; use letters and clippings of surveys in order to show the importance of the study to the respondent. The interviewer must be adaptable, friendly, responsive, and should make the interviewer feel at ease to say anything, even if it is irrelevant.

Dealing with Refusal- there can be plenty of reasons for refusing for an interview, for example, a respondent may feel that surveys are a waste of time, or may express anti-government feeling. It is the interviewer’s job to determine the reason for the refusal of the interview and attempt to overcome it.

Conducting the Interview- the questions should be asked as worded for all respondents in order to avoid misinterpretation of the question. Clarification of the question should also be avoided for the same reason. However, the questions can be repeated in case of misunderstanding. The questions should be asked in the same order as mentioned in the questionnaire, as a particular question might not make sense if the questions before they are skipped. The interviewers must be very careful to be neutral before starting the interview so as not to lead the respondent, hence minimizing bias.

listing out the advantages of interview studies, which are noted below:

There are certain disadvantages of interview studies as well which are:.

INTERVIEW AS SOCIAL INTERACTION

Apart from the errors caused by the responder, there are also certain errors made by the interviewers that may include-

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Interviews in Social Research: Advantages and Disadvantages

Table of Contents

Last Updated on September 11, 2023 by Karl Thompson

An interview involves an interviewer asking questions verbally to a respondent. Interviews involve a more direct interaction between the researcher and the respondent than questionnaires. Interviews can either be conducted face to face, via phone, video link or social media.

This post has primarily been written for students studying the Research Methods aspect of A-level sociology, but it should also be useful for students studying methods for psychology, business studies and maybe other subjects too!

Types of interview

Structured or formal interviews are those in which the interviewer asks the interviewee the same questions in the same way to different respondents. This will typically involve reading out questions from a pre-written and pre-coded structured questionnaire, which forms the interview schedule. The most familiar form of this is with market research, where you may have been stopped on the street with a researcher ticking boxes based on your responses.

Unstructured or Informal interviews (also called discovery interviews) are more like a guided conversation. Here the interviewer has a list of topics they want the respondent to talk about, but the interviewer has complete freedom to vary the specific questions from respondent to respondent, so they can follow whatever lines of enquiry they think are most appropriated, depending on the responses given by each respondent.

Semi-Structured interviews are those in which respondents have a list of questions, but they are free to ask further, differentiated questions based on the responses given. This allows more flexibility that the structured interview yet more structure than the informal interview.

Group interviews – Interviews can be conducted either one to one (individual interviews) or in a a group, in which the interviewer interviews two or more respondents at a time. Group discussions among respondents may lead to deeper insight than just interviewing people along, as respondents ‘encourage’ each other.

Interviews: key terms

The Interview Schedule – A list of questions or topic areas the interviewer wishes to ask or cover in the course of the interview. The more structured the interview, the more rigid the interiew schedule will be. Before conducting an interview it is usual for the reseracher to know something about the topic area and the respondents themselves, and so they will have at least some idea of the questions they are likely to ask: even if they are doing ‘unstructred interviews’ an interviewer will have some kind of interview schedule, even if it is just a list of broad topic areas to discuss, or an opening question.

The Strengths and Limitations of Unstructured Interviews

The strengths of unstructured interviews

The key strength of unstructured interviews is good validity , but for this to happen questioning should be as open ended as possible to gain genuine, spontaneous information rather than ‘rehearsed responses’ and questioning needs to be sufficient enough to elicit in-depth answers rather than glib, easy answers.

Rapport and empathy – unstructured interviews encourage a good rapport between interviewee and interviewer. Because of their informal nature, like guided conversations, unstructured interviews are more likely to make respondents feel at ease than with the more formal setting of a structured questionnaire or experiment. This should encourage openness, trust and empathy.

They are good for finding out why respondents do not do certain things . For example postal surveys asking why people do not claim benefits have very low response rates, but informal interviews are perfect for researching people who may have low literacy skills.

The Limitations of unstructured interviews

The main theoretical disadvantage is the lack of reliability – unstructured Interviews lack reliability because each interview is unique – a variety of different questions are asked and phrased in a variety of different ways to different respondents.

We also need to keep in mind that interviews can only tap into what people SAY about their values, beliefs and actions, we don’t actually get to see these in action, like we would do with observational studies such as Participant Observation. This has been a particular problem with self-report studies of criminal behaviour. These have been tested using polygraphs, and follow up studies of school and criminal records and responses found to be lacking in validity, so much so that victim-surveys have become the standard method for measuring crime rather than self-report studies.

Sudman and Bradburn (1974) conducted a review of literature and found that responses varied depending on the relative demographics of the interviewer and respondent. For example white interviewers received more socially acceptable responses from black respondents than they did from white respondents. Similar findings have been found with different ethnicities, age, social class and religion.

Practical disadvantages – unstructured Interviews may take a relatively long time to conduct. Some interviews can take hours. They also need to be taped and transcribed, and in the analysis phase there may be a lot of information that is not directly relevant to one’s research topic that needs to be sifted through.

There are few ethical problems , assuming that informed consent is gained and confidentially ensured. Although having said this, the fact that the researcher is getting more in-depth data, more of an insight into who the person really is, does offer the potential for the information to do more harm to the respondent if it got into the wrong hands (but this in turn depends on the topics discussed and the exact content of the interviews.

Sociological perspectives on interviews

Fo r Interactionists , interviews are based on mutual participant observation. The context of the interview is intrinsic to understanding responses and no distinction between research interviews and other social interaction is recognised. Data are valid when mutual understanding between interviewer and respondent is agreed.

For more posts on research methods please see my research methods page.

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Interviews in the social sciences

Eleanor Knott ORCID: orcid.org/0000-0002-9131-3939 1 ,
Aliya Hamid Rao ORCID: orcid.org/0000-0003-0674-4206 1 ,
Kate Summers ORCID: orcid.org/0000-0001-9964-0259 1 &
Chana Teeger ORCID: orcid.org/0000-0002-5046-8280 1

Nature Reviews Methods Primers volume 2 , Article number: 73 ( 2022 ) Cite this article

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Interdisciplinary studies

In-depth interviews are a versatile form of qualitative data collection used by researchers across the social sciences. They allow individuals to explain, in their own words, how they understand and interpret the world around them. Interviews represent a deceptively familiar social encounter in which people interact by asking and answering questions. They are, however, a very particular type of conversation, guided by the researcher and used for specific ends. This dynamic introduces a range of methodological, analytical and ethical challenges, for novice researchers in particular. In this Primer, we focus on the stages and challenges of designing and conducting an interview project and analysing data from it, as well as strategies to overcome such challenges.

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Participatory action research

Introduction.

In-depth interviews are a qualitative research method that follow a deceptively familiar logic of human interaction: they are conversations where people talk with each other, interact and pose and answer questions 1 . An interview is a specific type of interaction in which — usually and predominantly — a researcher asks questions about someone’s life experience, opinions, dreams, fears and hopes and the interview participant answers the questions 1 .

Interviews will often be used as a standalone method or combined with other qualitative methods, such as focus groups or ethnography, or quantitative methods, such as surveys or experiments. Although interviewing is a frequently used method, it should not be viewed as an easy default for qualitative researchers 2 . Interviews are also not suited to answering all qualitative research questions, but instead have specific strengths that should guide whether or not they are deployed in a research project. Whereas ethnography might be better suited to trying to observe what people do, interviews provide a space for extended conversations that allow the researcher insights into how people think and what they believe. Quantitative surveys also give these kinds of insights, but they use pre-determined questions and scales, privileging breadth over depth and often overlooking harder-to-reach participants.

In-depth interviews can take many different shapes and forms, often with more than one participant or researcher. For example, interviews might be highly structured (using an almost survey-like interview guide), entirely unstructured (taking a narrative and free-flowing approach) or semi-structured (using a topic guide ). Researchers might combine these approaches within a single project depending on the purpose of the interview and the characteristics of the participant. Whatever form the interview takes, researchers should be mindful of the dynamics between interviewer and participant and factor these in at all stages of the project.

In this Primer, we focus on the most common type of interview: one researcher taking a semi-structured approach to interviewing one participant using a topic guide. Focusing on how to plan research using interviews, we discuss the necessary stages of data collection. We also discuss the stages and thought-process behind analysing interview material to ensure that the richness and interpretability of interview material is maintained and communicated to readers. The Primer also tracks innovations in interview methods and discusses the developments we expect over the next 5–10 years.

We wrote this Primer as researchers from sociology, social policy and political science. We note our disciplinary background because we acknowledge that there are disciplinary differences in how interviews are approached and understood as a method.

Experimentation

Here we address research design considerations and data collection issues focusing on topic guide construction and other pragmatics of the interview. We also explore issues of ethics and reflexivity that are crucial throughout the research project.

Research design

Participant selection.

Participants can be selected and recruited in various ways for in-depth interview studies. The researcher must first decide what defines the people or social groups being studied. Often, this means moving from an abstract theoretical research question to a more precise empirical one. For example, the researcher might be interested in how people talk about race in contexts of diversity. Empirical settings in which this issue could be studied could include schools, workplaces or adoption agencies. The best research designs should clearly explain why the particular setting was chosen. Often there are both intrinsic and extrinsic reasons for choosing to study a particular group of people at a specific time and place 3 . Intrinsic motivations relate to the fact that the research is focused on an important specific social phenomenon that has been understudied. Extrinsic motivations speak to the broader theoretical research questions and explain why the case at hand is a good one through which to address them empirically.

Next, the researcher needs to decide which types of people they would like to interview. This decision amounts to delineating the inclusion and exclusion criteria for the study. The criteria might be based on demographic variables, like race or gender, but they may also be context-specific, for example, years of experience in an organization. These should be decided based on the research goals. Researchers should be clear about what characteristics would make an individual a candidate for inclusion in the study (and what would exclude them).

The next step is to identify and recruit the study’s sample . Usually, many more people fit the inclusion criteria than can be interviewed. In cases where lists of potential participants are available, the researcher might want to employ stratified sampling , dividing the list by characteristics of interest before sampling.

When there are no lists, researchers will often employ purposive sampling . Many researchers consider purposive sampling the most useful mode for interview-based research since the number of interviews to be conducted is too small to aim to be statistically representative 4 . Instead, the aim is not breadth, via representativeness, but depth via rich insights about a set of participants. In addition to purposive sampling, researchers often use snowball sampling . Both purposive and snowball sampling can be combined with quota sampling . All three types of sampling aim to ensure a variety of perspectives within the confines of a research project. A goal for in-depth interview studies can be to sample for range, being mindful of recruiting a diversity of participants fitting the inclusion criteria.

Study design

The total number of interviews depends on many factors, including the population studied, whether comparisons are to be made and the duration of interviews. Studies that rely on quota sampling where explicit comparisons are made between groups will require a larger number of interviews than studies focused on one group only. Studies where participants are interviewed over several hours, days or even repeatedly across years will tend to have fewer participants than those that entail a one-off engagement.

Researchers often stop interviewing when new interviews confirm findings from earlier interviews with no new or surprising insights (saturation) 4 , 5 , 6 . As a criterion for research design, saturation assumes that data collection and analysis are happening in tandem and that researchers will stop collecting new data once there is no new information emerging from the interviews. This is not always possible. Researchers rarely have time for systematic data analysis during data collection and they often need to specify their sample in funding proposals prior to data collection. As a result, researchers often draw on existing reports of saturation to estimate a sample size prior to data collection. These suggest between 12 and 20 interviews per category of participant (although researchers have reported saturation with samples that are both smaller and larger than this) 7 , 8 , 9 . The idea of saturation has been critiqued by many qualitative researchers because it assumes that meaning inheres in the data, waiting to be discovered — and confirmed — once saturation has been reached 7 . In-depth interview data are often multivalent and can give rise to different interpretations. The important consideration is, therefore, not merely how many participants are interviewed, but whether one’s research design allows for collecting rich and textured data that provide insight into participants’ understandings, accounts, perceptions and interpretations.

Sometimes, researchers will conduct interviews with more than one participant at a time. Researchers should consider the benefits and shortcomings of such an approach. Joint interviews may, for example, give researchers insight into how caregivers agree or debate childrearing decisions. At the same time, they may be less adaptive to exploring aspects of caregiving that participants may not wish to disclose to each other. In other cases, there may be more than one person interviewing each participant, such as when an interpreter is used, and so it is important to consider during the research design phase how this might shape the dynamics of the interview.

Data collection

Semi-structured interviews are typically organized around a topic guide comprised of an ordered set of broad topics (usually 3–5). Each topic includes a set of questions that form the basis of the discussion between the researcher and participant (Fig. 1 ). These topics are organized around key concepts that the researcher has identified (for example, through a close study of prior research, or perhaps through piloting a small, exploratory study) 5 .

a | Elaborated topics the researcher wants to cover in the interview and example questions. b | An example topic arc. Using such an arc, one can think flexibly about the order of topics. Considering the main question for each topic will help to determine the best order for the topics. After conducting some interviews, the researcher can move topics around if a different order seems to make sense.

Topic guide

One common way to structure a topic guide is to start with relatively easy, open-ended questions (Table 1 ). Opening questions should be related to the research topic but broad and easy to answer, so that they help to ease the participant into conversation.

After these broad, opening questions, the topic guide may move into topics that speak more directly to the overarching research question. The interview questions will be accompanied by probes designed to elicit concrete details and examples from the participant (see Table 1 ).

Abstract questions are often easier for participants to answer once they have been asked more concrete questions. In our experience, for example, questions about feelings can be difficult for some participants to answer, but when following probes concerning factual experiences these questions can become less challenging. After the main themes of the topic guide have been covered, the topic guide can move onto closing questions. At this stage, participants often repeat something they have said before, although they may sometimes introduce a new topic.

Interviews are especially well suited to gaining a deeper insight into people’s experiences. Getting these insights largely depends on the participants’ willingness to talk to the researcher. We recommend designing open-ended questions that are more likely to elicit an elaborated response and extended reflection from participants rather than questions that can be answered with yes or no.

Questions should avoid foreclosing the possibility that the participant might disagree with the premise of the question. Take for example the question: “Do you support the new family-friendly policies?” This question minimizes the possibility of the participant disagreeing with the premise of this question, which assumes that the policies are ‘family-friendly’ and asks for a yes or no answer. Instead, asking more broadly how a participant feels about the specific policy being described as ‘family-friendly’ (for example, a work-from-home policy) allows them to express agreement, disagreement or impartiality and, crucially, to explain their reasoning 10 .

For an uninterrupted interview that will last between 90 and 120 minutes, the topic guide should be one to two single-spaced pages with questions and probes. Ideally, the researcher will memorize the topic guide before embarking on the first interview. It is fine to carry a printed-out copy of the topic guide but memorizing the topic guide ahead of the interviews can often make the interviewer feel well prepared in guiding the participant through the interview process.

Although the topic guide helps the researcher stay on track with the broad areas they want to cover, there is no need for the researcher to feel tied down by the topic guide. For instance, if a participant brings up a theme that the researcher intended to discuss later or a point the researcher had not anticipated, the researcher may well decide to follow the lead of the participant. The researcher’s role extends beyond simply stating the questions; it entails listening and responding, making split-second decisions about what line of inquiry to pursue and allowing the interview to proceed in unexpected directions.

Optimizing the interview

The ideal place for an interview will depend on the study and what is feasible for participants. Generally, a place where the participant and researcher can both feel relaxed, where the interview can be uninterrupted and where noise or other distractions are limited is ideal. But this may not always be possible and so the researcher needs to be prepared to adapt their plans within what is feasible (and desirable for participants).

Another key tool for the interview is a recording device (assuming that permission for recording has been given). Recording can be important to capture what the participant says verbatim. Additionally, it can allow the researcher to focus on determining what probes and follow-up questions they want to pursue rather than focusing on taking notes. Sometimes, however, a participant may not allow the researcher to record, or the recording may fail. If the interview is not recorded we suggest that the researcher takes brief notes during the interview, if feasible, and then thoroughly make notes immediately after the interview and try to remember the participant’s facial expressions, gestures and tone of voice. Not having a recording of an interview need not limit the researcher from getting analytical value from it.

As soon as possible after each interview, we recommend that the researcher write a one-page interview memo comprising three key sections. The first section should identify two to three important moments from the interview. What constitutes important is up to the researcher’s discretion 9 . The researcher should note down what happened in these moments, including the participant’s facial expressions, gestures, tone of voice and maybe even the sensory details of their surroundings. This exercise is about capturing ethnographic detail from the interview. The second part of the interview memo is the analytical section with notes on how the interview fits in with previous interviews, for example, where the participant’s responses concur or diverge from other responses. The third part consists of a methodological section where the researcher notes their perception of their relationship with the participant. The interview memo allows the researcher to think critically about their positionality and practice reflexivity — key concepts for an ethical and transparent research practice in qualitative methodology 11 , 12 .

Ethics and reflexivity

All elements of an in-depth interview can raise ethical challenges and concerns. Good ethical practice in interview studies often means going beyond the ethical procedures mandated by institutions 13 . While discussions and requirements of ethics can differ across disciplines, here we focus on the most pertinent considerations for interviews across the research process for an interdisciplinary audience.

Ethical considerations prior to interview

Before conducting interviews, researchers should consider harm minimization, informed consent, anonymity and confidentiality, and reflexivity and positionality. It is important for the researcher to develop their own ethical sensitivities and sensibilities by gaining training in interview and qualitative methods, reading methodological and field-specific texts on interviews and ethics and discussing their research plans with colleagues.

Researchers should map the potential harm to consider how this can be minimized. Primarily, researchers should consider harm from the participants’ perspective (Box 1 ). But, it is also important to consider and plan for potential harm to the researcher, research assistants, gatekeepers, future researchers and members of the wider community 14 . Even the most banal of research topics can potentially pose some form of harm to the participant, researcher and others — and the level of harm is often highly context-dependent. For example, a research project on religion in society might have very different ethical considerations in a democratic versus authoritarian research context because of how openly or not such topics can be discussed and debated 15 .

The researcher should consider how they will obtain and record informed consent (for example, written or oral), based on what makes the most sense for their research project and context 16 . Some institutions might specify how informed consent should be gained. Regardless of how consent is obtained, the participant must be made aware of the form of consent, the intentions and procedures of the interview and potential forms of harm and benefit to the participant or community before the interview commences. Moreover, the participant must agree to be interviewed before the interview commences. If, in addition to interviews, the study contains an ethnographic component, it is worth reading around this topic (see, for example, Murphy and Dingwall 17 ). Informed consent must also be gained for how the interview will be recorded before the interview commences. These practices are important to ensure the participant is contributing on a voluntary basis. It is also important to remind participants that they can withdraw their consent at any time during the interview and for a specified period after the interview (to be decided with the participant). The researcher should indicate that participants can ask for anything shared to be off the record and/or not disseminated.

In terms of anonymity and confidentiality, it is standard practice when conducting interviews to agree not to use (or even collect) participants’ names and personal details that are not pertinent to the study. Anonymizing can often be the safer option for minimizing harm to participants as it is hard to foresee all the consequences of de-anonymizing, even if participants agree. Regardless of what a researcher decides, decisions around anonymity must be agreed with participants during the process of gaining informed consent and respected following the interview.

Although not all ethical challenges can be foreseen or planned for 18 , researchers should think carefully — before the interview — about power dynamics, participant vulnerability, emotional state and interactional dynamics between interviewer and participant, even when discussing low-risk topics. Researchers may then wish to plan for potential ethical issues, for example by preparing a list of relevant organizations to which participants can be signposted. A researcher interviewing a participant about debt, for instance, might prepare in advance a list of debt advice charities, organizations and helplines that could provide further support and advice. It is important to remember that the role of an interviewer is as a researcher rather than as a social worker or counsellor because researchers may not have relevant and requisite training in these other domains.

Box 1 Mapping potential forms of harm

Social: researchers should avoid causing any relational detriment to anyone in the course of interviews, for example, by sharing information with other participants or causing interview participants to be shunned or mistreated by their community as a result of participating.

Economic: researchers should avoid causing financial detriment to anyone, for example, by expecting them to pay for transport to be interviewed or to potentially lose their job as a result of participating.

Physical: researchers should minimize the risk of anyone being exposed to violence as a result of the research both from other individuals or from authorities, including police.

Psychological: researchers should minimize the risk of causing anyone trauma (or re-traumatization) or psychological anguish as a result of the research; this includes not only the participant but importantly the researcher themselves and anyone that might read or analyse the transcripts, should they contain triggering information.

Political: researchers should minimize the risk of anyone being exposed to political detriment as a result of the research, such as retribution.

Professional/reputational: researchers should minimize the potential for reputational damage to anyone connected to the research (this includes ensuring good research practices so that any researchers involved are not harmed reputationally by being involved with the research project).

The task here is not to map exhaustively the potential forms of harm that might pertain to a particular research project (that is the researcher’s job and they should have the expertise most suited to mapping such potential harms relative to the specific project) but to demonstrate the breadth of potential forms of harm.

Ethical considerations post-interview

Researchers should consider how interview data are stored, analysed and disseminated. If participants have been offered anonymity and confidentiality, data should be stored in a way that does not compromise this. For example, researchers should consider removing names and any other unnecessary personal details from interview transcripts, password-protecting and encrypting files and using pseudonyms to label and store all interview data. It is also important to address where interview data are taken (for example, across borders in particular where interview data might be of interest to local authorities) and how this might affect the storage of interview data.

Examining how the researcher will represent participants is a paramount ethical consideration both in the planning stages of the interview study and after it has been conducted. Dissemination strategies also need to consider questions of anonymity and representation. In small communities, even if participants are given pseudonyms, it might be obvious who is being described. Anonymizing not only the names of those participating but also the research context is therefore a standard practice 19 . With particularly sensitive data or insights about the participant, it is worth considering describing participants in a more abstract way rather than as specific individuals. These practices are important both for protecting participants’ anonymity but can also affect the ability of the researcher and others to return ethically to the research context and similar contexts 20 .

Reflexivity and positionality

Reflexivity and positionality mean considering the researcher’s role and assumptions in knowledge production 13 . A key part of reflexivity is considering the power relations between the researcher and participant within the interview setting, as well as how researchers might be perceived by participants. Further, researchers need to consider how their own identities shape the kind of knowledge and assumptions they bring to the interview, including how they approach and ask questions and their analysis of interviews (Box 2 ). Reflexivity is a necessary part of developing ethical sensibility as a researcher by adapting and reflecting on how one engages with participants. Participants should not feel judged, for example, when they share information that researchers might disagree with or find objectionable. How researchers deal with uncomfortable moments or information shared by participants is at their discretion, but they should consider how they will react both ahead of time and in the moment.

Researchers can develop their reflexivity by considering how they themselves would feel being asked these interview questions or represented in this way, and then adapting their practice accordingly. There might be situations where these questions are not appropriate in that they unduly centre the researchers’ experiences and worldview. Nevertheless, these prompts can provide a useful starting point for those beginning their reflexive journey and developing an ethical sensibility.

Reflexivity and ethical sensitivities require active reflection throughout the research process. For example, researchers should take care in interview memos and their notes to consider their assumptions, potential preconceptions, worldviews and own identities prior to and after interviews (Box 2 ). Checking in with assumptions can be a way of making sure that researchers are paying close attention to their own theoretical and analytical biases and revising them in accordance with what they learn through the interviews. Researchers should return to these notes (especially when analysing interview material), to try to unpack their own effects on the research process as well as how participants positioned and engaged with them.

Box 2 Aspects to reflect on reflexively

For reflexive engagement, and understanding the power relations being co-constructed and (re)produced in interviews, it is necessary to reflect, at a minimum, on the following.

Ethnicity, race and nationality, such as how does privilege stemming from race or nationality operate between the researcher, the participant and research context (for example, a researcher from a majority community may be interviewing a member of a minority community)

Gender and sexuality, see above on ethnicity, race and nationality

Social class, and in particular the issue of middle-class bias among researchers when formulating research and interview questions

Economic security/precarity, see above on social class and thinking about the researcher’s relative privilege and the source of biases that stem from this

Educational experiences and privileges, see above

Disciplinary biases, such as how the researcher’s discipline/subfield usually approaches these questions, possibly normalizing certain assumptions that might be contested by participants and in the research context

Political and social values

Lived experiences and other dimensions of ourselves that affect and construct our identity as researchers

In this section, we discuss the next stage of an interview study, namely, analysing the interview data. Data analysis may begin while more data are being collected. Doing so allows early findings to inform the focus of further data collection, as part of an iterative process across the research project. Here, the researcher is ultimately working towards achieving coherence between the data collected and the findings produced to answer successfully the research question(s) they have set.

The two most common methods used to analyse interview material across the social sciences are thematic analysis 21 and discourse analysis 22 . Thematic analysis is a particularly useful and accessible method for those starting out in analysis of qualitative data and interview material as a method of coding data to develop and interpret themes in the data 21 . Discourse analysis is more specialized and focuses on the role of discourse in society by paying close attention to the explicit, implicit and taken-for-granted dimensions of language and power 22 , 23 . Although thematic and discourse analysis are often discussed as separate techniques, in practice researchers might flexibly combine these approaches depending on the object of analysis. For example, those intending to use discourse analysis might first conduct thematic analysis as a way to organize and systematize the data. The object and intention of analysis might differ (for example, developing themes or interrogating language), but the questions facing the researcher (such as whether to take an inductive or deductive approach to analysis) are similar.

Preparing data

Data preparation is an important step in the data analysis process. The researcher should first determine what comprises the corpus of material and in what form it will it be analysed. The former refers to whether, for example, alongside the interviews themselves, analytic memos or observational notes that may have been taken during data collection will also be directly analysed. The latter refers to decisions about how the verbal/audio interview data will be transformed into a written form, making it suitable for processes of data analysis. Typically, interview audio recordings are transcribed to produce a written transcript. It is important to note that the process of transcription is one of transformation. The verbal interview data are transformed into a written transcript through a series of decisions that the researcher must make. The researcher should consider the effect of mishearing what has been said or how choosing to punctuate a sentence in a particular way will affect the final analysis.

Box 3 shows an example transcript excerpt from an interview with a teacher conducted by Teeger as part of her study of history education in post-apartheid South Africa 24 (Box 3 ). Seeing both the questions and the responses means that the reader can contextualize what the participant (Ms Mokoena) has said. Throughout the transcript the researcher has used square brackets, for example to indicate a pause in speech, when Ms Mokoena says “it’s [pause] it’s a difficult topic”. The transcription choice made here means that we see that Ms Mokoena has taken time to pause, perhaps to search for the right words, or perhaps because she has a slight apprehension. Square brackets are also included as an overt act of communication to the reader. When Ms Mokoena says “ja”, the English translation (“yes”) of the word in Afrikaans is placed in square brackets to ensure that the reader can follow the meaning of the speech.

Decisions about what to include when transcribing will be hugely important for the direction and possibilities of analysis. Researchers should decide what they want to capture in the transcript, based on their analytic focus. From a (post)positivist perspective 25 , the researcher may be interested in the manifest content of the interview (such as what is said, not how it is said). In that case, they may choose to transcribe intelligent verbatim . From a constructivist perspective 25 , researchers may choose to record more aspects of speech (including, for example, pauses, repetitions, false starts, talking over one another) so that these features can be analysed. Those working from this perspective argue that to recognize the interactional nature of the interview setting adequately and to avoid misinterpretations, features of interaction (pauses, overlaps between speakers and so on) should be preserved in transcription and therefore in the analysis 10 . Readers interested in learning more should consult Potter and Hepburn’s summary of how to present interaction through transcription of interview data 26 .

The process of analysing semi-structured interviews might be thought of as a generative rather than an extractive enterprise. Findings do not already exist within the interview data to be discovered. Rather, researchers create something new when analysing the data by applying their analytic lens or approach to the transcripts. At a high level, there are options as to what researchers might want to glean from their interview data. They might be interested in themes, whereby they identify patterns of meaning across the dataset 21 . Alternatively, they may focus on discourse(s), looking to identify how language is used to construct meanings and therefore how language reinforces or produces aspects of the social world 27 . Alternatively, they might look at the data to understand narrative or biographical elements 28 .

A further overarching decision to make is the extent to which researchers bring predetermined framings or understandings to bear on their data, or instead begin from the data themselves to generate an analysis. One way of articulating this is the extent to which researchers take a deductive approach or an inductive approach to analysis. One example of a truly inductive approach is grounded theory, whereby the aim of the analysis is to build new theory, beginning with one’s data 6 , 29 . In practice, researchers using thematic and discourse analysis often combine deductive and inductive logics and describe their process instead as iterative (referred to also as an abductive approach ) 30 , 31 . For example, researchers may decide that they will apply a given theoretical framing, or begin with an initial analytic framework, but then refine or develop these once they begin the process of analysis.

Box 3 Excerpt of interview transcript (from Teeger 24 )

Interviewer : Maybe you could just start by talking about what it’s like to teach apartheid history.

Ms Mokoena : It’s a bit challenging. You’ve got to accommodate all the kids in the class. You’ve got to be sensitive to all the racial differences. You want to emphasize the wrongs that were done in the past but you also want to, you know, not to make kids feel like it’s their fault. So you want to use the wrongs of the past to try and unite the kids …

Interviewer : So what kind of things do you do?

Ms Mokoena : Well I normally highlight the fact that people that were struggling were not just the blacks, it was all the races. And I give examples of the people … from all walks of life, all races, and highlight how they suffered as well as a result of apartheid, particularly the whites… . What I noticed, particularly my first year of teaching apartheid, I noticed that the black kids made the others feel responsible for what happened… . I had a lot of fights…. A lot of kids started hating each other because, you know, the others are white and the others were black. And they started saying, “My mother is a domestic worker because she was never allowed an opportunity to get good education.” …

Interviewer : I didn’t see any of that now when I was observing.

Ms Mokoena : … Like I was saying I think that because of the re-emphasis of the fact that, look, everybody did suffer one way or the other, they sort of got to see that it was everybody’s struggle … . They should now get to understand that that’s why we’re called a Rainbow Nation. Not everybody agreed with apartheid and not everybody suffered. Even all the blacks, not all blacks got to feel what the others felt . So ja [yes], it’s [pause] it’s a difficult topic, ja . But I think if you get the kids to understand why we’re teaching apartheid in the first place and you show the involvement of all races in all the different sides , then I think you have managed to teach it properly. So I think because of my inexperience then — that was my first year of teaching history — so I think I — maybe I over-emphasized the suffering of the blacks versus the whites [emphasis added].

Reprinted with permission from ref. 24 , Sage Publications.

From data to codes

Coding data is a key building block shared across many approaches to data analysis. Coding is a way of organizing and describing data, but is also ultimately a way of transforming data to produce analytic insights. The basic practice of coding involves highlighting a segment of text (this may be a sentence, a clause or a longer excerpt) and assigning a label to it. The aim of the label is to communicate some sort of summary of what is in the highlighted piece of text. Coding is an iterative process, whereby researchers read and reread their transcripts, applying and refining their codes, until they have a coding frame (a set of codes) that is applied coherently across the dataset and that captures and communicates the key features of what is contained in the data as it relates to the researchers’ analytic focus.

What one codes for is entirely contingent on the focus of the research project and the choices the researcher makes about the approach to analysis. At first, one might apply descriptive codes, summarizing what is contained in the interviews. It is rarely desirable to stop at this point, however, because coding is a tool to move from describing the data to interpreting the data. Suppose the researcher is pursuing some version of thematic analysis. In that case, it might be that the objects of coding are aspects of reported action, emotions, opinions, norms, relationships, routines, agreement/disagreement and change over time. A discourse analysis might instead code for different types of speech acts, tropes, linguistic or rhetorical devices. Multiple types of code might be generated within the same research project. What is important is that researchers are aware of the choices they are making in terms of what they are coding for. Moreover, through the process of refinement, the aim is to produce a set of discrete codes — in which codes are conceptually distinct, as opposed to overlapping. By using the same codes across the dataset, the researcher can capture commonalities across the interviews. This process of refinement involves relabelling codes and reorganizing how and where they are applied in the dataset.

From coding to analysis and writing

Data analysis is also an iterative process in which researchers move closer to and further away from the data. As they move away from the data, they synthesize their findings, thus honing and articulating their analytic insights. As they move closer to the data, they ground these insights in what is contained in the interviews. The link should not be broken between the data themselves and higher-order conceptual insights or claims being made. Researchers must be able to show evidence for their claims in the data. Figure 2 summarizes this iterative process and suggests the sorts of activities involved at each stage more concretely.

As well as going through steps 1 to 6 in order, the researcher will also go backwards and forwards between stages. Some stages will themselves be a forwards and backwards processing of coding and refining when working across different interview transcripts.

At the stage of synthesizing, there are some common quandaries. When dealing with a dataset consisting of multiple interviews, there will be salient and minority statements across different participants, or consensus or dissent on topics of interest to the researcher. A strength of qualitative interviews is that we can build in these nuances and variations across our data as opposed to aggregating them away. When exploring and reporting data, researchers should be asking how different findings are patterned and which interviews contain which codes, themes or tropes. Researchers should think about how these variations fit within the longer flow of individual interviews and what these variations tell them about the nature of their substantive research interests.

A further consideration is how to approach analysis within and across interview data. Researchers may look at one individual code, to examine the forms it takes across different participants and what they might be able to summarize about this code in the round. Alternatively, they might look at how a code or set of codes pattern across the account of one participant, to understand the code(s) in a more contextualized way. Further analysis might be done according to different sampling characteristics, where researchers group together interviews based on certain demographic characteristics and explore these together.

When it comes to writing up and presenting interview data, key considerations tend to rest on what is often termed transparency. When presenting the findings of an interview-based study, the reader should be able to understand and trace what the stated findings are based upon. This process typically involves describing the analytic process, how key decisions were made and presenting direct excerpts from the data. It is important to account for how the interview was set up and to consider the active part that the researcher has played in generating the data 32 . Quotes from interviews should not be thought of as merely embellishing or adding interest to a final research output. Rather, quotes serve the important function of connecting the reader directly to the underlying data. Quotes, therefore, should be chosen because they provide the reader with the most apt insight into what is being discussed. It is good practice to report not just on what participants said, but also on the questions that were asked to elicit the responses.

Researchers have increasingly used specialist qualitative data analysis software to organize and analyse their interview data, such as NVivo or ATLAS.ti. It is important to remember that such software is a tool for, rather than an approach or technique of, analysis. That said, software also creates a wide range of possibilities in terms of what can be done with the data. As researchers, we should reflect on how the range of possibilities of a given software package might be shaping our analytical choices and whether these are choices that we do indeed want to make.

Applications

This section reviews how and why in-depth interviews have been used by researchers studying gender, education and inequality, nationalism and ethnicity and the welfare state. Although interviews can be employed as a method of data collection in just about any social science topic, the applications below speak directly to the authors’ expertise and cutting-edge areas of research.

When it comes to the broad study of gender, in-depth interviews have been invaluable in shaping our understanding of how gender functions in everyday life. In a study of the US hedge fund industry (an industry dominated by white men), Tobias Neely was interested in understanding the factors that enable white men to prosper in the industry 33 . The study comprised interviews with 45 hedge fund workers and oversampled women of all races and men of colour to capture a range of experiences and beliefs. Tobias Neely found that practices of hiring, grooming and seeding are key to maintaining white men’s dominance in the industry. In terms of hiring, the interviews clarified that white men in charge typically preferred to hire people like themselves, usually from their extended networks. When women were hired, they were usually hired to less lucrative positions. In terms of grooming, Tobias Neely identifies how older and more senior men in the industry who have power and status will select one or several younger men as their protégés, to include in their own elite networks. Finally, in terms of her concept of seeding, Tobias Neely describes how older men who are hedge fund managers provide the seed money (often in the hundreds of millions of dollars) for a hedge fund to men, often their own sons (but not their daughters). These interviews provided an in-depth look into gendered and racialized mechanisms that allow white men to flourish in this industry.

Research by Rao draws on dozens of interviews with men and women who had lost their jobs, some of the participants’ spouses and follow-up interviews with about half the sample approximately 6 months after the initial interview 34 . Rao used interviews to understand the gendered experience and understanding of unemployment. Through these interviews, she found that the very process of losing their jobs meant different things for men and women. Women often saw job loss as being a personal indictment of their professional capabilities. The women interviewed often referenced how years of devaluation in the workplace coloured their interpretation of their job loss. Men, by contrast, were also saddened by their job loss, but they saw it as part and parcel of a weak economy rather than a personal failing. How these varied interpretations occurred was tied to men’s and women’s very different experiences in the workplace. Further, through her analysis of these interviews, Rao also showed how these gendered interpretations had implications for the kinds of jobs men and women sought to pursue after job loss. Whereas men remained tied to participating in full-time paid work, job loss appeared to be a catalyst pushing some of the women to re-evaluate their ties to the labour force.

In a study of workers in the tech industry, Hart used interviews to explain how individuals respond to unwanted and ambiguously sexual interactions 35 . Here, the researcher used interviews to allow participants to describe how these interactions made them feel and act and the logics of how they interpreted, classified and made sense of them 35 . Through her analysis of these interviews, Hart showed that participants engaged in a process she termed “trajectory guarding”, whereby they sought to monitor unwanted and ambiguously sexual interactions to avoid them from escalating. Yet, as Hart’s analysis proficiently demonstrates, these very strategies — which protect these workers sexually — also undermined their workplace advancement.

Drawing on interviews, these studies have helped us to understand better how gendered mechanisms, gendered interpretations and gendered interactions foster gender inequality when it comes to paid work. Methodologically, these studies illuminate the power of interviews to reveal important aspects of social life.

Nationalism and ethnicity

Traditionally, nationalism has been studied from a top-down perspective, through the lens of the state or using historical methods; in other words, in-depth interviews have not been a common way of collecting data to study nationalism. The methodological turn towards everyday nationalism has encouraged more scholars to go to the field and use interviews (and ethnography) to understand nationalism from the bottom up: how people talk about, give meaning, understand, navigate and contest their relation to nation, national identification and nationalism 36 , 37 , 38 , 39 . This turn has also addressed the gap left by those studying national and ethnic identification via quantitative methods, such as surveys.

Surveys can enumerate how individuals ascribe to categorical forms of identification 40 . However, interviews can question the usefulness of such categories and ask whether these categories are reflected, or resisted, by participants in terms of the meanings they give to identification 41 , 42 . Categories often pitch identification as a mutually exclusive choice; but identification might be more complex than such categories allow. For example, some might hybridize these categories or see themselves as moving between and across categories 43 . Hearing how people talk about themselves and their relation to nations, states and ethnicities, therefore, contributes substantially to the study of nationalism and national and ethnic forms of identification.

One particular approach to studying these topics, whether via everyday nationalism or alternatives, is that of using interviews to capture both articulations and narratives of identification, relations to nationalism and the boundaries people construct. For example, interviews can be used to gather self–other narratives by studying how individuals construct I–we–them boundaries 44 , including how participants talk about themselves, who participants include in their various ‘we’ groupings and which and how participants create ‘them’ groupings of others, inserting boundaries between ‘I/we’ and ‘them’. Overall, interviews hold great potential for listening to participants and understanding the nuances of identification and the construction of boundaries from their point of view.

Education and inequality

Scholars of social stratification have long noted that the school system often reproduces existing social inequalities. Carter explains that all schools have both material and sociocultural resources 45 . When children from different backgrounds attend schools with different material resources, their educational and occupational outcomes are likely to vary. Such material resources are relatively easy to measure. They are operationalized as teacher-to-student ratios, access to computers and textbooks and the physical infrastructure of classrooms and playgrounds.

Drawing on Bourdieusian theory 46 , Carter conceptualizes the sociocultural context as the norms, values and dispositions privileged within a social space 45 . Scholars have drawn on interviews with students and teachers (as well as ethnographic observations) to show how schools confer advantages on students from middle-class families, for example, by rewarding their help-seeking behaviours 47 . Focusing on race, researchers have revealed how schools can remain socioculturally white even as they enrol a racially diverse student population. In such contexts, for example, teachers often misrecognize the aesthetic choices made by students of colour, wrongly inferring that these students’ tastes in clothing and music reflect negative orientations to schooling 48 , 49 , 50 . These assessments can result in disparate forms of discipline and may ultimately shape educators’ assessments of students’ academic potential 51 .

Further, teachers and administrators tend to view the appropriate relationship between home and school in ways that resonate with white middle-class parents 52 . These parents are then able to advocate effectively for their children in ways that non-white parents are not 53 . In-depth interviews are particularly good at tapping into these understandings, revealing the mechanisms that confer privilege on certain groups of students and thereby reproduce inequality.

In addition, interviews can shed light on the unequal experiences that young people have within educational institutions, as the views of dominant groups are affirmed while those from disadvantaged backgrounds are delegitimized. For example, Teeger’s interviews with South African high schoolers showed how — because racially charged incidents are often framed as jokes in the broader school culture — Black students often feel compelled to ignore and keep silent about the racism they experience 54 . Interviews revealed that Black students who objected to these supposed jokes were coded by other students as serious or angry. In trying to avoid such labels, these students found themselves unable to challenge the racism they experienced. Interviews give us insight into these dynamics and help us see how young people understand and interpret the messages transmitted in schools — including those that speak to issues of inequality in their local school contexts as well as in society more broadly 24 , 55 .

The welfare state

In-depth interviews have also proved to be an important method for studying various aspects of the welfare state. By welfare state, we mean the social institutions relating to the economic and social wellbeing of a state’s citizens. Notably, using interviews has been useful to look at how policy design features are experienced and play out on the ground. Interviews have often been paired with large-scale surveys to produce mixed-methods study designs, therefore achieving both breadth and depth of insights.

In-depth interviews provide the opportunity to look behind policy assumptions or how policies are designed from the top down, to examine how these play out in the lives of those affected by the policies and whose experiences might otherwise be obscured or ignored. For example, the Welfare Conditionality project used interviews to critique the assumptions that conditionality (such as, the withdrawal of social security benefits if recipients did not perform or meet certain criteria) improved employment outcomes and instead showed that conditionality was harmful to mental health, living standards and had many other negative consequences 56 . Meanwhile, combining datasets from two small-scale interview studies with recipients allowed Summers and Young to critique assumptions around the simplicity that underpinned the design of Universal Credit in 2020, for example, showing that the apparently simple monthly payment design instead burdened recipients with additional money management decisions and responsibilities 57 .

Similarly, the Welfare at a (Social) Distance project used a mixed-methods approach in a large-scale study that combined national surveys with case studies and in-depth interviews to investigate the experience of claiming social security benefits during the COVID-19 pandemic. The interviews allowed researchers to understand in detail any issues experienced by recipients of benefits, such as delays in the process of claiming, managing on a very tight budget and navigating stigma and claiming 58 .

These applications demonstrate the multi-faceted topics and questions for which interviews can be a relevant method for data collection. These applications highlight not only the relevance of interviews, but also emphasize the key added value of interviews, which might be missed by other methods (surveys, in particular). Interviews can expose and question what is taken for granted and directly engage with communities and participants that might otherwise be ignored, obscured or marginalized.

Reproducibility and data deposition

There is a robust, ongoing debate about reproducibility in qualitative research, including interview studies. In some research paradigms, reproducibility can be a way of interrogating the rigour and robustness of research claims, by seeing whether these hold up when the research process is repeated. Some scholars have suggested that although reproducibility may be challenging, researchers can facilitate it by naming the place where the research was conducted, naming participants, sharing interview and fieldwork transcripts (anonymized and de-identified in cases where researchers are not naming people or places) and employing fact-checkers for accuracy 11 , 59 , 60 .

In addition to the ethical concerns of whether de-anonymization is ever feasible or desirable, it is also important to address whether the replicability of interview studies is meaningful. For example, the flexibility of interviews allows for the unexpected and the unforeseen to be incorporated into the scope of the research 61 . However, this flexibility means that we cannot expect reproducibility in the conventional sense, given that different researchers will elicit different types of data from participants. Sharing interview transcripts with other researchers, for instance, downplays the contextual nature of an interview.

Drawing on Bauer and Gaskell, we propose several measures to enhance rigour in qualitative research: transparency, grounding interpretations and aiming for theoretical transferability and significance 62 .

Researchers should be transparent when describing their methodological choices. Transparency means documenting who was interviewed, where and when (without requiring de-anonymization, for example, by documenting their characteristics), as well as the questions they were asked. It means carefully considering who was left out of the interviews and what that could mean for the researcher’s findings. It also means carefully considering who the researcher is and how their identity shaped the research process (integrating and articulating reflexivity into whatever is written up).

Second, researchers should ground their interpretations in the data. Grounding means presenting the evidence upon which the interpretation relies. Quotes and extracts should be extensive enough to allow the reader to evaluate whether the researcher’s interpretations are grounded in the data. At each step, researchers should carefully compare their own explanations and interpretations with alternative explanations. Doing so systematically and frequently allows researchers to become more confident in their claims. Here, researchers should justify the link between data and analysis by using quotes to justify and demonstrate the analytical point, while making sure the analytical point offers an interpretation of quotes (Box 4 ).

An important step in considering alternative explanations is to seek out disconfirming evidence 4 , 63 . This involves looking for instances where participants deviate from what the majority are saying and thus bring into question the theory (or explanation) that the researcher is developing. Careful analysis of such examples can often demonstrate the salience and meaning of what appears to be the norm (see Table 2 for examples) 54 . Considering alternative explanations and paying attention to disconfirming evidence allows the researcher to refine their own theories in respect of the data.

Finally, researchers should aim for theoretical transferability and significance in their discussions of findings. One way to think about this is to imagine someone who is not interested in the empirical study. Articulating theoretical transferability and significance usually takes the form of broadening out from the specific findings to consider explicitly how the research has refined or altered prior theoretical approaches. This process also means considering under what other conditions, aside from those of the study, the researcher thinks their theoretical revision would be supported by and why. Importantly, it also includes thinking about the limitations of one’s own approach and where the theoretical implications of the study might not hold.

Box 4 An example of grounding interpretations in data (from Rao 34 )

In an article explaining how unemployed men frame their job loss as a pervasive experience, Rao writes the following: “Unemployed men in this study understood unemployment to be an expected aspect of paid work in the contemporary United States. Robert, a white unemployed communications professional, compared the economic landscape after the Great Recession with the tragic events of September 11, 2001:

Part of your post-9/11 world was knowing people that died as a result of terrorism. The same thing is true with the [Great] Recession, right? … After the Recession you know somebody who was unemployed … People that really should be working.

The pervasiveness of unemployment rendered it normal, as Robert indicates.”

Here, the link between the quote presented and the analytical point Rao is making is clear: the analytical point is grounded in a quote and an interpretation of the quote is offered 34 .

Limitations and optimizations

When deciding which research method to use, the key question is whether the method provides a good fit for the research questions posed. In other words, researchers should consider whether interviews will allow them to successfully access the social phenomena necessary to answer their question(s) and whether the interviews will do so more effectively than other methods. Table 3 summarizes the major strengths and limitations of interviews. However, the accompanying text below is organized around some key issues, where relative strengths and weaknesses are presented alongside each other, the aim being that readers should think about how these can be balanced and optimized in relation to their own research.

Breadth versus depth of insight

Achieving an overall breadth of insight, in a statistically representative sense, is not something that is possible or indeed desirable when conducting in-depth interviews. Instead, the strength of conducting interviews lies in their ability to generate various sorts of depth of insight. The experiences or views of participants that can be accessed by conducting interviews help us to understand participants’ subjective realities. The challenge, therefore, is for researchers to be clear about why depth of insight is the focus and what we should aim to glean from these types of insight.

Naturalistic or artificial interviews

Interviews make use of a form of interaction with which people are familiar 64 . By replicating a naturalistic form of interaction as a tool to gather social science data, researchers can capitalize on people’s familiarity and expectations of what happens in a conversation. This familiarity can also be a challenge, as people come to the interview with preconceived ideas about what this conversation might be for or about. People may draw on experiences of other similar conversations when taking part in a research interview (for example, job interviews, therapy sessions, confessional conversations, chats with friends). Researchers should be aware of such potential overlaps and think through their implications both in how the aims and purposes of the research interview are communicated to participants and in how interview data are interpreted.

Further, some argue that a limitation of interviews is that they are an artificial form of data collection. By taking people out of their daily lives and asking them to stand back and pass comment, we are creating a distance that makes it difficult to use such data to say something meaningful about people’s actions, experiences and views. Other approaches, such as ethnography, might be more suitable for tapping into what people actually do, as opposed to what they say they do 65 .

Dynamism and replicability

Interviews following a semi-structured format offer flexibility both to the researcher and the participant. As the conversation develops, the interlocutors can explore the topics raised in much more detail, if desired, or pass over ones that are not relevant. This flexibility allows for the unexpected and the unforeseen to be incorporated into the scope of the research.

However, this flexibility has a related challenge of replicability. Interviews cannot be reproduced because they are contingent upon the interaction between the researcher and the participant in that given moment of interaction. In some research paradigms, replicability can be a way of interrogating the robustness of research claims, by seeing whether they hold when they are repeated. This is not a useful framework to bring to in-depth interviews and instead quality criteria (such as transparency) tend to be employed as criteria of rigour.

Accessing the private and personal

Interviews have been recognized for their strength in accessing private, personal issues, which participants may feel more comfortable talking about in a one-to-one conversation. Furthermore, interviews are likely to take a more personable form with their extended questions and answers, perhaps making a participant feel more at ease when discussing sensitive topics in such a context. There is a similar, but separate, argument made about accessing what are sometimes referred to as vulnerable groups, who may be difficult to make contact with using other research methods.

There is an associated challenge of anonymity. There can be types of in-depth interview that make it particularly challenging to protect the identities of participants, such as interviewing within a small community, or multiple members of the same household. The challenge to ensure anonymity in such contexts is even more important and difficult when the topic of research is of a sensitive nature or participants are vulnerable.

Increasingly, researchers are collaborating in large-scale interview-based studies and integrating interviews into broader mixed-methods designs. At the same time, interviews can be seen as an old-fashioned (and perhaps outdated) mode of data collection. We review these debates and discussions and point to innovations in interview-based studies. These include the shift from face-to-face interviews to the use of online platforms, as well as integrating and adapting interviews towards more inclusive methodologies.

Collaborating and mixing

Qualitative researchers have long worked alone 66 . Increasingly, however, researchers are collaborating with others for reasons such as efficiency, institutional incentives (for example, funding for collaborative research) and a desire to pool expertise (for example, studying similar phenomena in different contexts 67 or via different methods). Collaboration can occur across disciplines and methods, cases and contexts and between industry/business, practitioners and researchers. In many settings and contexts, collaboration has become an imperative 68 .

Cheek notes how collaboration provides both advantages and disadvantages 68 . For example, collaboration can be advantageous, saving time and building on the divergent knowledge, skills and resources of different researchers. Scholars with different theoretical or case-based knowledge (or contacts) can work together to build research that is comparative and/or more than the sum of its parts. But such endeavours also carry with them practical and political challenges in terms of how resources might actually be pooled, shared or accounted for. When undertaking such projects, as Morse notes, it is worth thinking about the nature of the collaboration and being explicit about such a choice, its advantages and its disadvantages 66 .

A further tension, but also a motivation for collaboration, stems from integrating interviews as a method in a mixed-methods project, whether with other qualitative researchers (to combine with, for example, focus groups, document analysis or ethnography) or with quantitative researchers (to combine with, for example, surveys, social media analysis or big data analysis). Cheek and Morse both note the pitfalls of collaboration with quantitative researchers: that quality of research may be sacrificed, qualitative interpretations watered down or not taken seriously, or tensions experienced over the pace and different assumptions that come with different methods and approaches of research 66 , 68 .

At the same time, there can be real benefits of such mixed-methods collaboration, such as reaching different and more diverse audiences or testing assumptions and theories between research components in the same project (for example, testing insights from prior quantitative research via interviews, or vice versa), as long as the skillsets of collaborators are seen as equally beneficial to the project. Cheek provides a set of questions that, as a starting point, can be useful for guiding collaboration, whether mixed methods or otherwise. First, Cheek advises asking all collaborators about their assumptions and understandings concerning collaboration. Second, Cheek recommends discussing what each perspective highlights and focuses on (and conversely ignores or sidelines) 68 .

A different way to engage with the idea of collaboration and mixed methods research is by fostering greater collaboration between researchers in the Global South and Global North, thus reversing trends of researchers from the Global North extracting knowledge from the Global South 69 . Such forms of collaboration also align with interview innovations, discussed below, that seek to transform traditional interview approaches into more participatory and inclusive (as part of participatory methodologies).

Digital innovations and challenges

The ongoing COVID-19 pandemic has centred the question of technology within interview-based fieldwork. Although conducting synchronous oral interviews online — for example, via Zoom, Skype or other such platforms — has been a method used by a small constituency of researchers for many years, it became (and remains) a necessity for many researchers wanting to continue or start interview-based projects while COVID-19 prevents face-to-face data collection.

In the past, online interviews were often framed as an inferior form of data collection for not providing the kinds of (often necessary) insights and forms of immersion face-to-face interviews allow 70 , 71 . Online interviews do tend to be more decontextualized than interviews conducted face-to-face 72 . For example, it is harder to recognize, engage with and respond to non-verbal cues 71 . At the same time, they broaden participation to those who might not have been able to access or travel to sites where interviews would have been conducted otherwise, for example people with disabilities. Online interviews also offer more flexibility in terms of scheduling and time requirements. For example, they provide more flexibility around precarious employment or caring responsibilities without having to travel and be away from home. In addition, online interviews might also reduce discomfort between researchers and participants, compared with face-to-face interviews, enabling more discussion of sensitive material 71 . They can also provide participants with more control, enabling them to turn on and off the microphone and video as they choose, for example, to provide more time to reflect and disconnect if they so wish 72 .

That said, online interviews can also introduce new biases based on access to technology 72 . For example, in the Global South, there are often urban/rural and gender gaps between who has access to mobile phones and who does not, meaning that some population groups might be overlooked unless researchers sample mindfully 71 . There are also important ethical considerations when deciding between online and face-to-face interviews. Online interviews might seem to imply lower ethical risks than face-to-face interviews (for example, they lower the chances of identification of participants or researchers), but they also offer more barriers to building trust between researchers and participants 72 . Interacting only online with participants might not provide the information needed to assess risk, for example, participants’ access to a private space to speak 71 . Just because online interviews might be more likely to be conducted in private spaces does not mean that private spaces are safe, for example, for victims of domestic violence. Finally, online interviews prompt further questions about decolonizing research and engaging with participants if research is conducted from afar 72 , such as how to include participants meaningfully and challenge dominant assumptions while doing so remotely.

A further digital innovation, modulating how researchers conduct interviews and the kinds of data collected and analysed, stems from the use and integration of (new) technology, such as WhatsApp text or voice notes to conduct synchronous or asynchronous oral or written interviews 73 . Such methods can provide more privacy, comfort and control to participants and make recruitment easier, allowing participants to share what they want when they want to, using technology that already forms a part of their daily lives, especially for young people 74 , 75 . Such technology is also emerging in other qualitative methods, such as focus groups, with similar arguments around greater inclusivity versus traditional offline modes. Here, the digital challenge might be higher for researchers than for participants if they are less used to such technology 75 . And while there might be concerns about the richness, depth and quality of written messages as a form of interview data, Gibson reports that the reams of transcripts that resulted from a study using written messaging were dense with meaning to be analysed 75 .

Like with online and face-to-face interviews, it is important also to consider the ethical questions and challenges of using such technology, from gaining consent to ensuring participant safety and attending to their distress, without cues, like crying, that might be more obvious in a face-to-face setting 75 , 76 . Attention to the platform used for such interviews is also important and researchers should be attuned to the local and national context. For example, in China, many platforms are neither legal nor available 76 . There, more popular platforms — like WeChat — can be highly monitored by the government, posing potential risks to participants depending on the topic of the interview. Ultimately, researchers should consider trade-offs between online and offline interview modalities, being attentive to the social context and power dynamics involved.

The next 5–10 years

Continuing to integrate (ethically) this technology will be among the major persisting developments in interview-based research, whether to offer more flexibility to researchers or participants, or to diversify who can participate and on what terms.

Pushing the idea of inclusion even further is the potential for integrating interview-based studies within participatory methods, which are also innovating via integrating technology. There is no hard and fast line between researchers using in-depth interviews and participatory methods; many who employ participatory methods will use interviews at the beginning, middle or end phases of a research project to capture insights, perspectives and reflections from participants 77 , 78 . Participatory methods emphasize the need to resist existing power and knowledge structures. They broaden who has the right and ability to contribute to academic knowledge by including and incorporating participants not only as subjects of data collection, but as crucial voices in research design and data analysis 77 . Participatory methods also seek to facilitate local change and to produce research materials, whether for academic or non-academic audiences, including films and documentaries, in collaboration with participants.

In responding to the challenges of COVID-19, capturing the fraught situation wrought by the pandemic and the momentum to integrate technology, participatory researchers have sought to continue data collection from afar. For example, Marzi has adapted an existing project to co-produce participatory videos, via participants’ smartphones in Medellin, Colombia, alongside regular check-in conversations/meetings/interviews with participants 79 . Integrating participatory methods into interview studies offers a route by which researchers can respond to the challenge of diversifying knowledge, challenging assumptions and power hierarchies and creating more inclusive and collaborative partnerships between participants and researchers in the Global North and South.

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Acknowledgements

The authors are grateful to the MY421 team and students for prompting how best to frame and communicate issues pertinent to in-depth interview studies.

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Eleanor Knott, Aliya Hamid Rao, Kate Summers & Chana Teeger

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A pre-written interview outline for a semi-structured interview that provides both a topic structure and the ability to adapt flexibly to the content and context of the interview and the interaction between the interviewer and participant. Others may refer to the topic guide as an interview protocol.

Here we refer to the participants that take part in the study as the sample. Other researchers may refer to the participants as a participant group or dataset.

This involves dividing a population into smaller groups based on particular characteristics, for example, age or gender, and then sampling randomly within each group.

A sampling method where the guiding logic when deciding who to recruit is to achieve the most relevant participants for the research topic, in terms of being rich in information or insights.

Researchers ask participants to introduce the researcher to others who meet the study’s inclusion criteria.

Similar to stratified sampling, but participants are not necessarily randomly selected. Instead, the researcher determines how many people from each category of participants should be recruited. Recruitment can happen via snowball or purposive sampling.

A method for developing, analysing and interpreting patterns across data by coding in order to develop themes.

An approach that interrogates the explicit, implicit and taken-for-granted dimensions of language as well as the contexts in which it is articulated to unpack its purposes and effects.

A form of transcription that simplifies what has been said by removing certain verbal and non-verbal details that add no further meaning, such as ‘ums and ahs’ and false starts.

The analytic framework, theoretical approach and often hypotheses, are developed prior to examining the data and then applied to the dataset.

The analytic framework and theoretical approach is developed from analysing the data.

An approach that combines deductive and inductive components to work recursively by going back and forth between data and existing theoretical frameworks (also described as an iterative approach). This approach is increasingly recognized not only as a more realistic but also more desirable third alternative to the more traditional inductive versus deductive binary choice.

A theoretical apparatus that emphasizes the role of cultural processes and capital in (intergenerational) social reproduction.

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Research Interviews: An effective and insightful way of data collection

Research interviews play a pivotal role in collecting data for various academic, scientific, and professional endeavors. They provide researchers with an opportunity to delve deep into the thoughts, experiences, and perspectives of an individual, thus enabling a comprehensive understanding of complex phenomena. It is important for researchers to design an effective and insightful method of data collection on a particular topic. A research interview is typically a two-person meeting conducted to collect information on a certain topic. It is a qualitative data collection method to gain primary information.

The three key features of a research interview are as follows:

Table of Contents

The Significance of Research Interviews in Gathering Primary Data

The role of research interviews in gathering first-hand information is invaluable. Additionally, they allow researchers to interact directly with participants, enabling them to collect unfiltered primary data.

1. Subjective Experience

Research interviews facilitate in-depth exploration of a research topic. Thus, by engaging in one-to-one conversation with participants, researchers can delve into the nuances and complexities of their experiences, perspectives, and opinions. This allows comprehensive understanding of the research subject that may not be possible through other methods. Also, research interviews offer the unique advantage of capturing subjective experiences through personal narratives. Moreover, participants can express their thoughts, feelings, and beliefs, which add depth to the findings.

2. Personal Insights

Research interviews offer an opportunity for participants to share their views and opinions on the objective they are being interviewed for. Furthermore, participants can express their thoughts and experiences, providing rich qualitative data . Consequently, these personal narratives add a human element to the research, thus enhancing the understanding of the topic from the participants’ perspectives. Research interviews offer the opportunity to uncover unanticipated insights or emerging themes. Additionally, open-ended questions and active listening can help the researchers to identify new perspectives, ideas, or patterns that may not have been initially considered. As a result, these factors can lead to new avenues for exploration.

3. Clarification and Validation

Researchers can clarify participants’ responses and validate their understanding during an interview. This ensures accurate data collection and interpretation. Additionally, researchers can probe deeper into participants’ statements and seek clarification on any ambiguity in the information.

4. Contextual Information

Research interviews allow researchers to gather contextual information that offers a comprehensive understanding of the research topic. Additionally, participants can provide insights into the social, cultural, or environmental factors that shape their experiences, behaviors, and beliefs. This contextual information helps researchers place the data in a broader context and facilitates a more nuanced analysis.

5. Non-verbal Cues

In addition to verbal responses, research interviews allow researchers to observe non-verbal cues such as body language, facial expressions, and tone of voice. Additionally, non-verbal cues can convey information, such as emotions, attitudes, or levels of comfort. Furthermore, integrating non-verbal cues with verbal responses provides a more holistic understanding of participants’ experiences and enriches the data collection process.

Research interviews offer several advantages, making them a reliable tool for collecting information. However, choosing the right type of research interview is essential for collecting useful data.

Types of Research Interviews

There are several types of research interviews that researchers can use based on their research goals , the nature of their study, and the data they aim to collect. Here are some common types of research interviews:

1. Structured Interviews

Structured interviews are standardized and follow a fixed format.
Therefore, these interviews have a pre-determined set of questions.
All the participants are asked the same set of questions in the same order.
Therefore, this type of interview facilitates standardization and allows easy comparison and quantitative analysis of responses.
As a result, structured interviews are used in surveys or studies which aims for a high level of standardization and comparability.

2. Semi-structured Interviews

Semi-structured interviews offer a flexible framework by combining pre-determined questions.
So, this gives an opportunity for follow-up questions and open-ended discussions.
Researchers have a list of core questions but can adapt the interview depending on the participant’s responses.
Consequently, this allows for in-depth exploration while maintaining some level of consistency across interviews.
As a result, semi-structured interviews are widely used in qualitative research, where content-rich data is desired.

3. Unstructured Interviews

Unstructured interviews provide the greatest flexibility and freedom in the interview process.
This type do not have a pre-determined set of questions.
Thus, the conversation flows naturally based on the participant’s responses and the researcher’s interests.
Moreover, this type of interview allows for open-ended exploration and encourages participants to share their experiences, thoughts, and perspectives freely.
Unstructured interviews useful to explore new or complex research topics, with limited preconceived questions.

4. Group Interviews (Focus Groups)

Group interviews involve multiple participants who engage in a facilitated discussion on a specific topic.
This format allows the interaction and exchange of ideas among participants, generating a group dynamic.
Therefore, group interviews are beneficial for capturing diverse perspectives, and generating collective insights.
They are often used in market research, social sciences, or studies demanding shared experiences.

5. Narrative Interviews

Narrative interviews focus on eliciting participants’ personal stories, views, experiences, and narratives. Researchers aim to look into the individual’s life journey.
As a result, this type of interview allows participants to construct and share their own narratives, providing rich qualitative data.
Qualitative research, oral history, or studies focusing on individual experiences and identities uses narrative interviews.

6. Ethnographic Interviews

Ethnographic interviews are conducted within the context of ethnographic research, where researchers immerse themselves in a specific social or cultural setting.
These interviews aim to understand participants’ experiences, beliefs, and practices within their cultural context, thereby understanding diversity in different ethnic groups.
Furthermore, ethnographic interviews involve building rapport, observing the participants’ daily lives, and engaging in conversations that capture the nuances of the culture under study.

It must be noted that these interview types are not mutually exclusive. Therefore, researchers often employ a combination of approaches to gather the most comprehensive data for their research. The choice of interview type depends on the research objectives and the nature of the research topic.

Steps of Conducting a Research Interview

Research interviews offer several benefits, and thus careful planning and execution of the entire process are important to gather in-depth information from the participants. While conducting an interview, it is essential to know the necessary steps to follow for ensuring success. The steps to conduct a research interview are as follows:

Identify the objectives and understand the goals
Select an appropriate interview format
Organize the necessary materials for the interview
Understand the questions to be addressed
Analyze the demographics of interviewees
Select the interviewees
Design the interview questions to gather sufficient information
Schedule the interview
Explain the purpose of the interview
Analyze the interviewee based on his/her responses

Considerations for Research Interviews

Since the flexible nature of research interviews makes them an invaluable tool for data collection, researchers must consider certain factors to make the process effective. They should avoid bias and preconceived notion against the participants. Furthermore, researchers must comply with ethical considerations and respect the cultural differences between them and the participants. Also, they should ensure careful tailoring of the questions to avoid making them offensive or derogatory. The interviewers must respect the privacy of the participants and ensure the confidentiality of their details.

By ensuring due diligence of these considerations associated with research interviews, researchers can maximize the validity and reliability of the collected data, leading to robust and meaningful research outcomes.

Have you ever conducted a research interview? What was your experience? What factors did you consider when conducting a research interview? Share it with researchers worldwide by submitting your thought piece on Enago Academy’s Open Blogging Platform .

Frequently Asked Questions

• Identify the objectives of the interview • State and explain the purpose of the interview • Select an appropriate interview format • Organize the necessary materials for the Interview • Check the demographics of the participants • Select the Interviewees or the participants • Prepare the list of questions to gather maximum useful data from the participants • Schedule the Interview • Analyze the participant based on his/ her Responses

Interviews are important in research as it helps to gather elaborative first-hand information. It helps to draw conclusions from the non-verbal views and personal experiences. It reduces the ambiguity of data through detailed discussions.

The advantages of research interviews are: • It offers first-hand information • Offers detailed assessment which can result in elaborate conclusions • It is easy to conduct • Provides non-verbal cues The disadvantages of research interviews are: • There is a risk of personal bias • It can be time consuming • The outcomes might be unpredictable

The difference between structured and unstructured interview are: • Structured interviews have well-structured questions in a pre-determined order; while unstructured interviews are flexible and do not have a pre-planned set of questions. • Structured interview is more detailed; while unstructured interviews are exploratory in nature. • Structured interview is easier to replicate as compared to unstructured interview.

Focus groups is a group of multiple participants engaging in a facilitated discussion on a specific topic. This format allows for interaction and exchange of ideas among participants.

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What factors would influence the future of open access (OA) publishing?

Interviews can be defined as a qualitative research technique which involves “conducting intensive individual interviews with a small number of respondents to explore their perspectives on a particular idea, program or situation.” [1]

There are three different formats of interviews: structured, semi-structured and unstructured.

Structured interviews consist of a series of pre-determined questions that all interviewees answer in the same order. Data analysis usually tends to be more straightforward because researcher can compare and contrast different answers given to the same questions.

Unstructured interviews are usually the least reliable from research viewpoint, because no questions are prepared prior to the interview and data collection is conducted in an informal manner. Unstructured interviews can be associated with a high level of bias and comparison of answers given by different respondents tends to be difficult due to the differences in formulation of questions.

Semi-structured interviews contain the components of both, structured and unstructured interviews. In semi-structured interviews, interviewer prepares a set of same questions to be answered by all interviewees. At the same time, additional questions might be asked during interviews to clarify and/or further expand certain issues.

Advantages of interviews include possibilities of collecting detailed information about research questions. Moreover, in in this type of primary data collection researcher has direct control over the flow of process and she has a chance to clarify certain issues during the process if needed. Disadvantages, on the other hand, include longer time requirements and difficulties associated with arranging an appropriate time with perspective sample group members to conduct interviews.

When conducting interviews you should have an open mind and refrain from displaying disagreements in any forms when viewpoints expressed by interviewees contradict your own ideas. Moreover, timing and environment for interviews need to be scheduled effectively. Specifically, interviews need to be conducted in a relaxed environment, free of any forms of pressure for interviewees whatsoever.

Respected scholars warn that “in conducting an interview the interviewer should attempt to create a friendly, non-threatening atmosphere. Much as one does with a cover letter, the interviewer should give a brief, casual introduction to the study; stress the importance of the person’s participation; and assure anonymity, or at least confidentiality, when possible.” [2]

There is a risk of interviewee bias during the primary data collection process and this would seriously compromise the validity of the project findings. Some interviewer bias can be avoided by ensuring that the interviewer does not overreact to responses of the interviewee. Other steps that can be taken to help avoid or reduce interviewer bias include having the interviewer dress inconspicuously and appropriately for the environment and holding the interview in a private setting. [3]

My e-book, The Ultimate Guide to Writing a Dissertation in Business Studies: a step by step assistance offers practical assistance to complete a dissertation with minimum or no stress. The e-book covers all stages of writing a dissertation starting from the selection to the research area to submitting the completed version of the work within the deadline.John Dudovskiy

[1] Boyce, C. & Neale, P. (2006) “Conducting in-depth Interviews: A Guide for Designing and Conducting In-Depth Interviews”, Pathfinder International Tool Series

[2] Connaway, L.S.& Powell, R.P.(2010) “Basic Research Methods for Librarians” ABC-CLIO

[3] Connaway, L.S.& Powell, R.P.(2010) “Basic Research Methods for Librarians” ABC-CLIO

Qualitative Interviewing

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First Online: 13 January 2019
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Sally Nathan 2 ,
Christy Newman 3 &
Kari Lancaster 3

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Qualitative interviewing is a foundational method in qualitative research and is widely used in health research and the social sciences. Both qualitative semi-structured and in-depth unstructured interviews use verbal communication, mostly in face-to-face interactions, to collect data about the attitudes, beliefs, and experiences of participants. Interviews are an accessible, often affordable, and effective method to understand the socially situated world of research participants. The approach is typically informed by an interpretive framework where the data collected is not viewed as evidence of the truth or reality of a situation or experience but rather a context-bound subjective insight from the participants. The researcher needs to be open to new insights and to privilege the participant’s experience in data collection. The data from qualitative interviews is not generalizable, but its exploratory nature permits the collection of rich data which can answer questions about which little is already known. This chapter introduces the reader to qualitative interviewing, the range of traditions within which interviewing is utilized as a method, and highlights the advantages and some of the challenges and misconceptions in its application. The chapter also provides practical guidance on planning and conducting interview studies. Three case examples are presented to highlight the benefits and risks in the use of interviewing with different participants, providing situated insights as well as advice about how to go about learning to interview if you are a novice.

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Interviews in the social sciences

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Nathan, S., Newman, C., Lancaster, K. (2019). Qualitative Interviewing. In: Liamputtong, P. (eds) Handbook of Research Methods in Health Social Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-10-5251-4_77

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Chapter 10: Qualitative Data Collection & Analysis Methods

10.7 Strengths and Weaknesses of Qualitative Interviews

As the preceding sections have suggested, qualitative interviews are an excellent way to gather detailed information. Whatever topic is of interest to the researcher can be explored in much more depth by employing this method than with almost any other method. Not only are participants given the opportunity to elaborate in a way that is not possible with other methods, such as survey research, but, in addition, they are able share information with researchers in their own words and from their own perspectives, rather than attempting to fit those perspectives into the perhaps limited response options provided by the researcher. Because qualitative interviews are designed to elicit detailed information, they are especially useful when a researcher’s aim is to study social processes, or the “how” of various phenomena. Yet another, and sometimes overlooked, benefit of qualitative interviews that occurs in person is that researchers can make observations beyond those that a respondent is orally reporting. A respondent’s body language, and even her or his choice of time and location for the interview, might provide a researcher with useful data.

As with quantitative survey research, qualitative interviews rely on respondents’ ability to accurately and honestly recall whatever details about their lives, circumstances, thoughts, opinions, or behaviors are being examined. Qualitative interviewing is also time-intensive and can be quite expensive. Creating an interview guide, identifying a sample, and conducting interviews are just the beginning of the process. Transcribing interviews is labor-intensive, even before coding begins. It is also not uncommon to offer respondents some monetary incentive or thank-you for participating, because you are asking for more of the participants’ time than if you had mailed them a questionnaire containing closed-ended questions. Conducting qualitative interviews is not only labor intensive but also emotionally taxing. Researchers embarking on a qualitative interview project with a subject that is sensitive in nature should keep in mind their own abilities to listen to stories that may be difficult to hear.

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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Interview as a Method for Qualitative Research

Goals of Interview Research

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

Mode of Data Collection

There are several types of interviews, including:

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

FAQ: Conducting Interview Research

What are the important steps involved in interviews?

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

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

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

Is training an interviewer important?

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

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Methodology

Unstructured Interview | Definition, Guide & Examples

Unstructured Interview | Definition, Guide & Examples

Published on January 27, 2022 by Tegan George . Revised on June 22, 2023.

An unstructured interview is a data collection method that relies on asking participants questions to collect data on a topic. Also known as non-directive interviewing , unstructured interviews do not have a set pattern and questions are not arranged in advance.

In research, unstructured interviews are usually qualitative in nature, and can be very helpful for social science or humanities research focusing on personal experiences.

An unstructured interview can be a particularly useful exploratory research tool. Known for being very informal and flexible, they can yield captivating responses from your participants.

Structured interviews : The questions are predetermined in both topic and order.
Semi-structured interviews : A few questions are predetermined, but other questions aren’t planned.
Focus group interviews : The questions are presented to a group instead of one individual.

What is an unstructured interview, when to use an unstructured interview, advantages of unstructured interviews, disadvantages of unstructured interviews, unstructured interview questions, how to conduct an unstructured interview, how to analyze an unstructured interview, presenting your results, other interesting articles, frequently asked questions about unstructured interviews.

An unstructured interview is the most flexible type of interview, with room for spontaneity. In contrast to a structured interview , the questions and the order in which they are presented are not set. Instead, the interview proceeds based on the participant’s previous answers.

Unstructured interviews are open-ended. This lack of structure can help you gather detailed information on your topic, while still allowing you to observe patterns in the analysis stage.

It can be challenging to know what type of interview best fits your subject matter. Unstructured interviews can be very challenging to conduct, and may not always be the best fit for your research question . Unstructured interviews are best used when:

You are an experienced interviewer and have a very strong background in your research topic.
Your research question is exploratory in nature. While you may have developed hypotheses, you are open to discovering new or shifting viewpoints.
You are seeking descriptive data, and are ready to ask questions that will deepen and contextualize your initial thoughts and hypotheses .
Your research depends on forming connections with your participants and making them feel comfortable revealing deeper emotions, thoughts, or lived experiences.

Even more so than in structured or semi-structured interviews, it is critical that you remain organized and develop a system for keeping track of participant responses. Since the questions are not set beforehand, the data collection and analysis becomes more complex.

Differences between different types of interviews

Make sure to choose the type of interview that suits your research best. This table shows the most important differences between the four types.


Fixed questions
Fixed order of questions
Fixed number of questions
Option to ask additional questions

Unstructured interviews have a few advantages compared to other types of interviews.

Very flexible

Respondents are more at ease, reduced risk of bias, more detail and nuance.

Unstructured interviews also have a few downsides compared to other data collection methods.

Low generalizability and reliability

Risk of leading questions, very time-consuming, risk of low internal validity.

It can be challenging to ask unstructured interview questions that get you the information you seek without biasing your responses. You will have to rely on the flow of the conversation and the cues you pick up from your participants.

Here are a few tips:

Since you won’t be designing set questions ahead of time, it’s important to feel sufficiently comfortable with your topic that you can come up with questions spontaneously.
Write yourself a guide with notes about your topic and what you’re seeking to investigate or gain from your interviews, so you have notes to refer back to.
Try to ask questions that encourage your participant to answer at length. Avoid closed-ended questions that can be answered with a simple “yes” or “no.”
Relatedly, focus on “how” questions rather than “why” questions to help put your participants at ease and avoid any feelings of defensiveness or anxiety.
Consider beginning the interview with an icebreaker or a “freebie” question, to start on a relaxed and comfortable note before delving into the more sensitive topics.

Here are a few possibilities for how your conversation could proceed:

Conversation A:

Interviewer: Do you go to the gym? How often?
Participant: I go to the gym 5 times per week.
Interviewer: What feelings does going to the gym bring out in you?
Participant: I don’t feel like myself unless I go to the gym.

Since the participant hinted that going to the gym is important for their mental health, proceed with questions in that vein, such as:

You say you “don’t feel like yourself.” Can you elaborate?
If you have to skip a gym day, how does that make you feel?
Is there anything else that makes you feel the way going to the gym does?

Conversation B:

Participant: No, I hate the gym.

Since the participant seems to have strong feelings against the gym, you can probe deeper.

What makes you feel this way about the gym?
What do you like to do instead?
Do your feelings about the gym reflect on your feelings about exercise in general?

Once you’ve determined that an unstructured interview is the right fit for your research topic , you can proceed with the following steps.

Step 1: Set your goals and foundations

As you conceptualize your research question, consider starting with some guiding questions, such as:

What are you trying to learn or achieve from an unstructured interview specifically?
Why is an unstructured interview the best fit for your research, as opposed to a different type of interview or another research method ?
What is the guiding force behind your research? What topic will serve as the foundation for your unscripted and follow-up questions?

While you do not need to plan your questions ahead of time for an unstructured interview, this does not mean that no advanced planning is needed. Unstructured interviews actually require extensive planning ahead to ensure that the interview stage will be fruitful.

Perhaps you have been studying it for quite some time, or you have previously conducted another type of research on a similar topic.
Maybe you are seeking a bit more detail or nuance to confirm or challenge past results, or you are interested in delving deeper into a particular question that arose from past research.

Once you are feeling really solid about your research question, you can start brainstorming categories of questions you may ask. You can start with one broad, overarching question and brainstorm what paths the conversation could take.

Step 2: Assemble your participants

There are a few sampling methods you can use to recruit your interview participants, such as:

Voluntary response sampling : For example, posting flyers in the dining hall and seeing who answers.
Stratified sampling of a particular age, race, or gender identity that is relevant to your research.
Convenience sampling of other students at your university, colleagues or friends.

Step 3: Decide on your setting

You should decide ahead of time whether your interview will be conducted in-person, over the phone, or via video conferencing.

In-person, phone, or video interviews each have their own advantages and disadvantages.

In general, live interviews can lead to nervousness or interviewer effects, where the respondent feels pressured to respond in a manner they perceive will please you.
Videoconferencing specifically can feel awkward or stilted, which could affect your results. However, your participant may be more comfortable in their own home.
Not being face-to-face with respondents, such as in a phone interview, could lead to more honest answers. However, there could be environmental conditions or distractions on the participant side that could affect their responses.
Consent to video- or audio-recording
Signature of a confidentiality agreement
Signature of an agreement to anonymize or pseudonymize data.

Step 4: Conduct your interviews

As you conduct your interviews, pay special attention to any environmental conditions that could bias your responses. This includes noises, temperature, and setting, but also your body language. Be careful to moderate your tone of voice and any responses to avoid interviewer effects.

Remember that one of the biggest challenges with unstructured interviews is to keep your questions neutral and unbiased. Strive for open-ended phrasing, and allow your participants to set the pace, asking follow-up questions that flow naturally from their last answer.

After you’re finished conducting your interviews, you move into the analysis phase. Don’t forget to assign each participant a pseudonym (such as a number or letter) to be sure you stay organized.

First, transcribe your recorded interviews. You can then conduct content or thematic analysis to create your categories, seeking patterns that stand out to you among your responses and testing your hypotheses .

Transcribing interviews

The transcription process can be quite lengthy for unstructured interviews due to their more detailed nature. One decision that can save you quite a bit of time before you get started is whether you will be conducting verbatim transcription or intelligent verbatim transcription.

If you consider that laughter, hesitations, or filler words like “umm” affect your analysis and research conclusions, you should conduct verbatim transcription and include them.
If not, intelligent verbatim transcription allows you to exclude fillers and fix any grammar issues in your transcription. Intelligent verbatim transcription can save you some time in this step.

Transcribing has the added benefit of being a great opportunity for cleansing your data . While you listen, you can take notes of questions or inconsistencies that come up.

Note that in some cases, your supervisor may ask you to add the finished transcriptions in the appendix of your research paper .

Coding unstructured interviews

After you’re finished transcribing, you can begin your thematic or content analysis . Here, you separate words, patterns, or recurring responses that stand out to you into labels or categories for later analysis. This process is called “coding.”

Due to the open-ended nature of unstructured interviews, you will most likely proceed with thematic analysis, rather than content analysis. In thematic analysis, you draw preliminary conclusions about your participants through identifying common topics, ideas, or patterns in their responses.

After you have familiarized yourself sufficiently with your responses, you can separate them into different codes or labels.
However, codes can be a bit too specific or niche for robust analysis. You can proceed by grouping similar codes into broader themes.
After identifying your themes, be sure to double-check your responses to ensure that the themes you chose appropriately represent your data.

Analyzing unstructured interviews

Once you’re confident with your preliminary thoughts, you can take either an inductive or a deductive approach in your analysis.

An inductive approach is more open-ended, allowing your data to then determine your themes.
A deductive approach is the opposite, and involves investigating whether your data confirm preconceived themes or ideas.

Thematic analysis is quite subjective, which can lead to issues with the reliability of your results. The unstructured nature of this type of interview leads to greater dependence on your judgment and interpretations. Be extra vigilant about remaining objective here.

After your data analysis, you’re ready to combine your findings into a research paper .

Your methodology section describes your data collection process (in this case, describing your unstructured interview process) and explains how you justified and conceptualized your analysis.
Your discussion and results sections usually describe each of your coded categories, and give you the opportunity to showcase your argument.
You can then conclude with your main takeaways and avenues for further study.
Since unstructured interviews are predominantly exploratory in nature, you can add suggestions for future research in the discussion section .

Example of interview methodology for a research paper

Let’s say you are a history student particularly interested in the history of the town around your campus. The town has a long history dating back to the early 1600s, but town census data shows that many long-term residents have been moving away in recent years.

You identify a few potential reasons for this shift:

People are moving away because there are better opportunities in the closest big city
The university has been aggressively purchasing real estate to build more student housing
The university has long been the main source of jobs for the town, and education budget cuts have led to a hiring freeze
The cost of living in the area has skyrocketed in recent years, and long-time residents can no longer afford their property taxes

Anecdotally, you hypothesize that the increased cost of living is the predominant factor in driving away long-time residents. However, you cannot rule out the possibility of the other options, specifically the lack of job options coupled with the university’s expansionist aims.

You feel very comfortable with this topic and oral histories in general. Since it is exploratory in nature but has the potential to become sensitive or emotional, you decide to conduct unstructured interviews with long-term residents of your town. Multi-generational residents are of particular interest.

To find the right mix of participants, you post in the Facebook group for town residents, as well as in the town’s NextDoor forum. You also post flyers in local coffee shops and even some mailboxes.

Once you’ve assembled your participants, it’s time to proceed with your interviews. Consider starting out with an icebreaker, such as:

What is your favorite thing about this town?
Tell me about a memory of the town that you have that’s particularly special.

You can then proceed with the interview, asking follow-up questions relevant to your participants’ responses, probing their family history, ties to the community, or any stories they have to share– whether funny, touching, or sentimental.

Establishing rapport with your participants helps you delve into the reasoning behind the choice to stay or leave, and competing thoughts and feelings they may have as the interview goes on. Remember to try to structure it like a conversation, to put them more at ease with the emotional topics.

Has increased cost of living led to you considering leaving the area? → The phrasing implies that you, the interviewer, think this is the case. This could bias your respondents, incentivizing them to answer affirmatively as well.
Are there any factors that would lead to you considering leaving the area? → This phrasing ensures the participant is giving their own opinion, and may even yield some surprising responses that enrich your analysis.

After conducting your interviews and transcribing your data, you can then conduct thematic analysis, coding responses into different categories. Since you began your research with several theories for why residents may be leaving that all seemed plausible, you would use the inductive approach.

After identifying the relevant themes from your data, you can draw inferences and conclusions. Your results section usually addresses each theme or pattern you found, describing each in turn, as well as how often you came across them in your analysis.

Perhaps one reason in particular really jumped out from responses, or maybe it was more of a mixed bag. Explain why you think this could be the case, and feel free to include lots of (properly anonymized) examples from the data to better illustrate your points.

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

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

Research bias

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

An unstructured interview is the most flexible type of interview, but it is not always the best fit for your research topic.

Unstructured interviews are best used when:

You are an experienced interviewer and have a very strong background in your research topic, since it is challenging to ask spontaneous, colloquial questions.
Your research question is exploratory in nature. While you may have developed hypotheses, you are open to discovering new or shifting viewpoints through the interview process.
You are seeking descriptive data, and are ready to ask questions that will deepen and contextualize your initial thoughts and hypotheses.
Your research depends on forming connections with your participants and making them feel comfortable revealing deeper emotions, lived experiences, or thoughts.

The four most common types of interviews are:

Structured interviews : The questions are predetermined in both topic and order.
Unstructured interviews : None of the questions are predetermined.

There are various approaches to qualitative data analysis , but they all share five steps in common:

Prepare and organize your data.
Review and explore your data.
Develop a data coding system.
Assign codes to the data.
Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

The interviewer effect is a type of bias that emerges when a characteristic of an interviewer (race, age, gender identity, etc.) influences the responses given by the interviewee.

There is a risk of an interviewer effect in all types of interviews , but it can be mitigated by writing really high-quality interview questions.

Social desirability bias is the tendency for interview participants to give responses that will be viewed favorably by the interviewer or other participants. It occurs in all types of interviews and surveys , but is most common in semi-structured interviews , unstructured interviews , and focus groups .

Social desirability bias can be mitigated by ensuring participants feel at ease and comfortable sharing their views. Make sure to pay attention to your own body language and any physical or verbal cues, such as nodding or widening your eyes.

This type of bias can also occur in observations if the participants know they’re being observed. They might alter their behavior accordingly.

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Qualitative Interview Pros and Cons

Interviews with members and nonmembers can help tell the story behind your quantitative research data, but only if done right. Find out how to make interviews effective and what pitfalls to avoid.

The proliferation of cheap, high-quality online survey tools has revolutionized our ability to conduct surveys to obtain quick snapshots of what our members are thinking. For all but the most complex projects, it is possible to begin and conclude a well-defined study of a subject of interest with the participation of a representative group of members within a 10-day timeframe. Perhaps more than any other development, this technology has made it possible for us to become "data driven" associations, as was put forth in 7 Measures of Success: What Remarkable Associations Do That Others Don't .

At the same time, we need to balance this easy source of quantitative data with a similar easy source of qualitative data. Why? Survey tools do a great job of providing us with definitive numbers and visuals to help tell our story, to ensure that our colleagues or committees understand and buy into our key findings. Databases also provide much better snapshots in the form of statistical reports and charts to help us document usage and sales baselines and trends. But to obtain greater insight into what actually determines these levels and drives changes, we often need to go deeper and directly engage representative members and customers in two-way dialogue.

Structure and Method for Member Interviews

There are entire books regarding methodology for qualitative interviews, but as associations we often benefit by simplifying them considerably. Here are some suggestions:

Conduct only telephone interviews (rather than face-to-face), prescheduling from a small random sample of the members or other targeted constituency. This allows them to speak at their convenience, although speaking to them at home or on a cellphone undermines the quality of conversation.

Prepare a discussion guide in advance. Rather than treat this as an agenda or survey form, keep it broad and flexible. After all, an interview is two-way communication. The majority of each interview will probably consist of follow-up questions to probe initial responses more deeply.

Use (or be) good interviewers. Effective interviewers (and facilitators) are friendly and open, and they know how to probe effectively. Through active listening, surface level discussions rapidly give way to deeper motivations, and if the interviewer can demonstrate objectivity and candor, he or she can quickly establish a trusting relationship in the interview. You should welcome digressions, and don't worry if every interview is unique. The end product of aggregating all the interviews will be far more robust as a result.

Guarantee confidentiality. Ensure participants that no individual information or attribution will be released to others in transcripts or written reports.

Allow interviews to run long. Even with the shortest guides and most focused of objectives, we often find that interviews run 30 minutes or more. Members rarely get a chance to speak directly with their association. A member who begins an interview emphasizing their time constraints inevitably is the one who will speak the longest.

Don't do too many interviews. Since time is money, structure the interviews as a discrete project, with a limited number of conversations. For any specific topic, we find most issues converge within 10 to 15 interviews—that is, we begin to hear repeated comments and similar thinking so we are not learning much new information from each new conversation. As with all qualitative research, we are generally not trying to establish or force a consensus; instead we want to hear the widest range of perspectives possible and understand why members feel that way.

Strengths of Interviews

Often we think of focus groups when considering qualitative research. Group dynamics are sometimes important to measure, and focus groups have also migrated online to a certain extent, but there are several reasons why in-depth interviews are superior.

Relative absence of bias. Interviews generally have less observer or participant bias. Even a trained moderator will encounter subtle bias in membership focus groups. In associations people often know each other, which can lead to conscious or subconscious posturing or suppression of some comments. Groups may seem to have homogeneous participants, yet some factor differentiates them once they are in the room. For example, we may find while discussing a service with which two people have had negative experiences that they are overly eager to share. If they speak first, it can undermine the perceptions of those who speak later and have had no experiences, or only positive ones. In interviews, the member is rarely trying to impress the interviewer except by trying to be as articulate and well understood as possible.

Built-in flexibility. Although you lose some rapport and communications through phone contact, it is far more cost-effective, allowing you to efficiently conduct interviews back-to-back and to give members who miss an appointment to call back at their convenience. Too often we are constrained in focus groups by having members gathered at a conference or in their local area, which yields a sampling of only our most motivated “super-users” and cognoscenti, or group dynamics reflecting participants who are very familiar with one another.

An interview is two-way communication. The majority of each interview will probably consist of follow-up questions to probe initial responses more deeply.

"Feed" your survey. Often we design surveys based on our assumptions regarding what matters, drawn from internal management perspectives, questions from the last survey, or good ideas a consultant brought in. However, it is harder to get a candid take on current issues that are of greatest concern to members. Conducting interviews as part of the process of designing the survey helps provide timely, titillating observations, unproven hypotheses, and possible hidden connections between attitudes and behavior that you will want to quantify in the survey work.

Enough talk time for members. A 90-minute focus group allows each participant to speak perhaps eight to 10 minutes. Online surveys generally take between five and 15 minutes. Many members may only have only a few minutes of thought to share, but for subjects that do warrant more in-depth discussion and a clear understanding of their background, a 20- to 30-minute period for one person's feedback is more appropriate. Interviews lose a group dynamic, but they also spare interviewees from spending time listening to others—helpful particularly if your members have type A personalities and tend to equate "listening" with "waiting to speak again." (Yes, we all have many of them in our databases!)

Candor and intimacy. Even if you have never spoken to members regarding their inner feelings, don't worry—they will make it easy for you. Often members are flattered to be asked. They make the time to speak with you and they reward you with candor. Sometimes you may not like what you hear, but the more the interviewer plays the role of objective outsider, the better the process will be. As a market research director, I often introduced myself as "acting as an independent researcher today" and that's often all you need in order to pull yourself out of the equation and to put the focus of conversation where it belongs—on the member or customer you're interviewing.

Low-cost and easy interpretation. Even surveys that are easy to administer online require some statistical knowledge to properly interpret. To conduct and analyze, interviews require a finger to dial, an ear to listen, a telephone, and a keyboard or notepad. Like surveys today, interviews can launch in real time, and it is easy to share top-line reports in a day for time-sensitive projects.

Weaknesses of Interviews

Of course, interviews also have inherent weaknesses. These are a few of their limitations:

Missing objectivity. There is a potential for observer bias in just about all qualitative research. If the people conducting the interviews are staff or service providers who can't maintain a strong sense of objectivity inside and out, the interviewee will pull their punches and not tell the whole truth, or the interpretation of the end results starts to resemble a process of hearing what you want to hear. Be on the lookout for what can be an almost subliminal bias.

Negative reactions. I often found that associations need to be prepared to accept what they hear. Not all of it is pleasant. The kneejerk reaction to negative feedback often can be outright rejection—a belief that the method just wasn't reliable enough. This may be true, but it is important to balance a sudden keen interest in valid methodology with an urgent need to cover one's backside. We are often politically sensitive and very PC, and when interviewees take advantage of glasnost to say exactly what they feel, it can be jarring. Sometimes you will need to smooth off the rough edges and edit the unadulterated stream of feedback, unless you are a big fan of Impromptu Job Loss or like being perceived as a traitor when you're only the messenger.

Open-endedness. Digressions and lack of standardization across interviews can be a good or a bad thing. When you try to make interviews "sum up" to a consensus or quantify them, you'll be disappointed. To push for consensus is to force interviews to do something they don't do well. It is best to accept this limitation, even to the point of managing your interviewee's expectations upfront. Sometimes an interviewee will refer to our "phone survey" and we gently correct them, since survey implies a rigid format. Interviews often yield digressions into arcane specialties, heretical opinions, conspiracy theories, and wildly inventive suggestions that each represent a unique viewpoint.

Subject to these caveats, qualitative interviews can be a valuable tool to help inform most association problems. Like some people we know, the feedback we receive may be amorphous, messy, and sometimes contradictory. However, regular use of the method can improve member and customer relations and provide a critical additional source of intelligence that we rarely obtain otherwise.

Editor’s Note: This article, originally published in 2009, has been updated.

Kevin Whorton is principal of Whorton Marketing & Research in Silver Spring, Maryland.

Email: [email protected]

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Advantages and Disadvantages of Four Interview Techniques in Qualitative Research

Raymond Opdenakker Eindhoven University of Technology

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14 Advantages and Disadvantages of Interviews

Interviews are a commonly utilized method in the hiring process between interviewer and interviewee.

They offer several advantages and disadvantages for both the interviewer and the interviewee.

This article will explore the different types of interviews, their advantages and disadvantages, and the potential biases that can arise during the interview process.

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Advantages of Interviews

Rich Data Collection : Interviews allow for in-depth and rich data collection. They provide an opportunity to gather detailed information, insights, and nuances that may not be captured through other data collection methods.
Personal Connection : Interviews create a personal connection between the interviewer and the interviewee, which can foster trust and open communication. This can lead to more honest and candid responses.
Flexibility : Interviews can be structured or unstructured, allowing for flexibility in the questioning approach. Researchers or interviewers can adapt their questions based on the interviewee's responses, enabling a deeper exploration of topics.
Clarification : Interviews provide an opportunity to seek clarification on unclear or ambiguous responses. Follow-up questions can help ensure that the interviewer fully understands the interviewee's perspective.
Contextual Understanding : Interviews are useful for gaining a deeper understanding of the interviewee's context, experiences, and motivations. This is particularly valuable in research or investigative settings.
Immediate Feedback : In employment interviews, immediate feedback can be provided to candidates, helping them understand their performance and areas for improvement.

Disadvantages of Interviews

Subjectivity : Interviews can be subject to bias, both on the part of the interviewer and the interviewee. This can lead to skewed or inaccurate information.
Limited Sample Size : Interviews are time-consuming and resource-intensive, making it challenging to conduct them with a large sample size. This limits the generalizability of the findings.
Social Desirability Bias : Interviewees may provide responses that they believe are socially acceptable or that align with the interviewer's expectations, rather than their true opinions or experiences.
Interviewer Effect : The skills and demeanor of the interviewer can impact the interviewee's responses. Some interviewees may feel more comfortable with certain interviewers, leading to variations in data.
Time-Consuming : Conducting interviews can be time-consuming, both in terms of preparation and the actual interview process. This may not be practical for large-scale data collection.
Resource Intensive : Interviews require resources such as trained interviewers, facilities, and equipment. This can make them costly compared to other data collection methods.
Interviewee Discomfort : Some interviewees may feel uncomfortable or anxious during interviews, which can affect the quality and honesty of their responses.
Limited Reproducibility : In research settings, interviews may be challenging to reproduce exactly, making it difficult to validate findings through replication.

Types of Interviews

Structured interviews.

Structured interviews are the most common type of interview. In this type of interview, the interviewer follows a predetermined set of questions and evaluates the responses based on a standardized scoring system. One of the advantages of a structured interview is that it allows for consistent evaluation of candidates, ensuring that each candidate is assessed on the same criteria. This makes it easier to compare candidates and make informed hiring decisions. Some interviews can be held online, which is an advantage of video conferencing .

However, structured interviews can also have disadvantages. Some candidates may feel that the interview is too rigid and does not allow them to fully showcase their skills and abilities. Additionally, the structured format may not provide enough room for the interviewee to ask questions or engage in a meaningful conversation with the interviewer.

Unstructured Interviews

Unstructured interviews are the opposite of structured interviews. In this type of interview, the interviewer does not follow a specific set of questions. Instead, they have a general topic or theme and engage in a more conversational style of interviewing. Unstructured interviews allow for a more relaxed atmosphere and give the interviewee the opportunity to express themselves more freely.

However, unstructured interviews can also have disadvantages. Since there is no set structure or scoring system, it can be difficult to compare candidates objectively. The lack of structure can also lead to personal biases on the part of the interviewer, as their own preferences and opinions can influence the evaluation process. Additionally, unstructured interviews can be more time-consuming for both the interviewer and the interviewee.

Panel Interview

A panel interview involves multiple interviewers and one interviewee. This type of interview allows for different perspectives and opinions to be considered when evaluating a candidate. Panel interviews can be particularly useful when hiring for a position that requires teamwork or collaboration.

However, panel interviews may also have disadvantages. The presence of multiple interviewers can be intimidating for the interviewee, which may affect their performance. Additionally, panel interviews can be more difficult to coordinate and schedule, especially if the panel members have conflicting schedules.

Overall, interviews are a great way to gather information about potential candidates for a position. They allow for a more personal interaction between the interviewer and the respondent, and they provide an opportunity for the applicant to showcase their skills and qualifications.

However, it is important to recognize the potential disadvantages of interviews. Personal biases on the part of the interviewer can impact the evaluation process, leading to a less objective assessment of candidates. Additionally, interviews can be time-consuming and may not always provide an accurate representation of a candidate’s abilities.

When conducting interviews, it is crucial to develop a structured and standardized approach to minimize personal bias and ensure fair evaluation of candidates. This can involve using a standardized set of questions, developing a scoring system, and involving multiple interviewers to provide different perspectives.

In conclusion, interviews are an important part of the recruitment process and offer several advantages and disadvantages. It is essential to understand the different types of interviews, their strengths and weaknesses, and the potential biases that can arise during the interview process. By acknowledging and addressing these factors, organizations can make more informed hiring decisions and find the right fit for their team.

Conclusion of Advantages and Disadvantages of Interviews

In conclusion, to transcribe interviews are a valuable tool for collecting qualitative data and gaining insights into individuals’ thoughts, experiences, and perspectives.

However, they have limitations related to subjectivity, bias, resource requirements, and potential issues with sample size and generalizability. Researchers and interviewers should carefully consider these advantages and disadvantages when choosing interviews as a data collection method and take steps to mitigate potential biases and limitations.

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23 Advantages and Disadvantages of Qualitative Research

Investigating methodologies. Taking a closer look at ethnographic, anthropological, or naturalistic techniques. Data mining through observer recordings. This is what the world of qualitative research is all about. It is the comprehensive and complete data that is collected by having the courage to ask an open-ended question.

Print media has used the principles of qualitative research for generations. Now more industries are seeing the advantages that come from the extra data that is received by asking more than a “yes” or “no” question.

The advantages and disadvantages of qualitative research are quite unique. On one hand, you have the perspective of the data that is being collected. On the other hand, you have the techniques of the data collector and their own unique observations that can alter the information in subtle ways.

That’s why these key points are so important to consider.

What Are the Advantages of Qualitative Research?

1. Subject materials can be evaluated with greater detail. There are many time restrictions that are placed on research methods. The goal of a time restriction is to create a measurable outcome so that metrics can be in place. Qualitative research focuses less on the metrics of the data that is being collected and more on the subtleties of what can be found in that information. This allows for the data to have an enhanced level of detail to it, which can provide more opportunities to glean insights from it during examination.

2. Research frameworks can be fluid and based on incoming or available data. Many research opportunities must follow a specific pattern of questioning, data collection, and information reporting. Qualitative research offers a different approach. It can adapt to the quality of information that is being gathered. If the available data does not seem to be providing any results, the research can immediately shift gears and seek to gather data in a new direction. This offers more opportunities to gather important clues about any subject instead of being confined to a limited and often self-fulfilling perspective.

3. Qualitative research data is based on human experiences and observations. Humans have two very different operating systems. One is a subconscious method of operation, which is the fast and instinctual observations that are made when data is present. The other operating system is slower and more methodical, wanting to evaluate all sources of data before deciding. Many forms of research rely on the second operating system while ignoring the instinctual nature of the human mind. Qualitative research doesn’t ignore the gut instinct. It embraces it and the data that can be collected is often better for it.

4. Gathered data has a predictive quality to it. One of the common mistakes that occurs with qualitative research is an assumption that a personal perspective can be extrapolated into a group perspective. This is only possible when individuals grow up in similar circumstances, have similar perspectives about the world, and operate with similar goals. When these groups can be identified, however, the gathered individualistic data can have a predictive quality for those who are in a like-minded group. At the very least, the data has a predictive quality for the individual from whom it was gathered.

5. Qualitative research operates within structures that are fluid. Because the data being gathered through this type of research is based on observations and experiences, an experienced researcher can follow-up interesting answers with additional questions. Unlike other forms of research that require a specific framework with zero deviation, researchers can follow any data tangent which makes itself known and enhance the overall database of information that is being collected.

6. Data complexities can be incorporated into generated conclusions. Although our modern world tends to prefer statistics and verifiable facts, we cannot simply remove the human experience from the equation. Different people will have remarkably different perceptions about any statistic, fact, or event. This is because our unique experiences generate a different perspective of the data that we see. These complexities, when gathered into a singular database, can generate conclusions with more depth and accuracy, which benefits everyone.

7. Qualitative research is an open-ended process. When a researcher is properly prepared, the open-ended structures of qualitative research make it possible to get underneath superficial responses and rational thoughts to gather information from an individual’s emotional response. This is critically important to this form of researcher because it is an emotional response which often drives a person’s decisions or influences their behavior.

8. Creativity becomes a desirable quality within qualitative research. It can be difficult to analyze data that is obtained from individual sources because many people subconsciously answer in a way that they think someone wants. This desire to “please” another reduces the accuracy of the data and suppresses individual creativity. By embracing the qualitative research method, it becomes possible to encourage respondent creativity, allowing people to express themselves with authenticity. In return, the data collected becomes more accurate and can lead to predictable outcomes.

9. Qualitative research can create industry-specific insights. Brands and businesses today need to build relationships with their core demographics to survive. The terminology, vocabulary, and jargon that consumers use when looking at products or services is just as important as the reputation of the brand that is offering them. If consumers are receiving one context, but the intention of the brand is a different context, then the miscommunication can artificially restrict sales opportunities. Qualitative research gives brands access to these insights so they can accurately communicate their value propositions.

10. Smaller sample sizes are used in qualitative research, which can save on costs. Many qualitative research projects can be completed quickly and on a limited budget because they typically use smaller sample sizes that other research methods. This allows for faster results to be obtained so that projects can move forward with confidence that only good data is able to provide.

11. Qualitative research provides more content for creatives and marketing teams. When your job involves marketing, or creating new campaigns that target a specific demographic, then knowing what makes those people can be quite challenging. By going through the qualitative research approach, it becomes possible to congregate authentic ideas that can be used for marketing and other creative purposes. This makes communication between the two parties to be handled with more accuracy, leading to greater level of happiness for all parties involved.

12. Attitude explanations become possible with qualitative research. Consumer patterns can change on a dime sometimes, leaving a brand out in the cold as to what just happened. Qualitative research allows for a greater understanding of consumer attitudes, providing an explanation for events that occur outside of the predictive matrix that was developed through previous research. This allows the optimal brand/consumer relationship to be maintained.

What Are the Disadvantages of Qualitative Research?

1. The quality of the data gathered in qualitative research is highly subjective. This is where the personal nature of data gathering in qualitative research can also be a negative component of the process. What one researcher might feel is important and necessary to gather can be data that another researcher feels is pointless and won’t spend time pursuing it. Having individual perspectives and including instinctual decisions can lead to incredibly detailed data. It can also lead to data that is generalized or even inaccurate because of its reliance on researcher subjectivisms.

2. Data rigidity is more difficult to assess and demonstrate. Because individual perspectives are often the foundation of the data that is gathered in qualitative research, it is more difficult to prove that there is rigidity in the information that is collective. The human mind tends to remember things in the way it wants to remember them. That is why memories are often looked at fondly, even if the actual events that occurred may have been somewhat disturbing at the time. This innate desire to look at the good in things makes it difficult for researchers to demonstrate data validity.

3. Mining data gathered by qualitative research can be time consuming. The number of details that are often collected while performing qualitative research are often overwhelming. Sorting through that data to pull out the key points can be a time-consuming effort. It is also a subjective effort because what one researcher feels is important may not be pulled out by another researcher. Unless there are some standards in place that cannot be overridden, data mining through a massive number of details can almost be more trouble than it is worth in some instances.

4. Qualitative research creates findings that are valuable, but difficult to present. Presenting the findings which come out of qualitative research is a bit like listening to an interview on CNN. The interviewer will ask a question to the interviewee, but the goal is to receive an answer that will help present a database which presents a specific outcome to the viewer. The goal might be to have a viewer watch an interview and think, “That’s terrible. We need to pass a law to change that.” The subjective nature of the information, however, can cause the viewer to think, “That’s wonderful. Let’s keep things the way they are right now.” That is why findings from qualitative research are difficult to present. What a research gleans from the data can be very different from what an outside observer gleans from the data.

5. Data created through qualitative research is not always accepted. Because of the subjective nature of the data that is collected in qualitative research, findings are not always accepted by the scientific community. A second independent qualitative research effort which can produce similar findings is often necessary to begin the process of community acceptance.

6. Researcher influence can have a negative effect on the collected data. The quality of the data that is collected through qualitative research is highly dependent on the skills and observation of the researcher. If a researcher has a biased point of view, then their perspective will be included with the data collected and influence the outcome. There must be controls in place to help remove the potential for bias so the data collected can be reviewed with integrity. Otherwise, it would be possible for a researcher to make any claim and then use their bias through qualitative research to prove their point.

7. Replicating results can be very difficult with qualitative research. The scientific community wants to see results that can be verified and duplicated to accept research as factual. In the world of qualitative research, this can be very difficult to accomplish. Not only do you have the variability of researcher bias for which to account within the data, but there is also the informational bias that is built into the data itself from the provider. This means the scope of data gathering can be extremely limited, even if the structure of gathering information is fluid, because of each unique perspective.

8. Difficult decisions may require repetitive qualitative research periods. The smaller sample sizes of qualitative research may be an advantage, but they can also be a disadvantage for brands and businesses which are facing a difficult or potentially controversial decision. A small sample is not always representative of a larger population demographic, even if there are deep similarities with the individuals involve. This means a follow-up with a larger quantitative sample may be necessary so that data points can be tracked with more accuracy, allowing for a better overall decision to be made.

9. Unseen data can disappear during the qualitative research process. The amount of trust that is placed on the researcher to gather, and then draw together, the unseen data that is offered by a provider is enormous. The research is dependent upon the skill of the researcher being able to connect all the dots. If the researcher can do this, then the data can be meaningful and help brands and progress forward with their mission. If not, there is no way to alter course until after the first results are received. Then a new qualitative process must begin.

10. Researchers must have industry-related expertise. You can have an excellent researcher on-board for a project, but if they are not familiar with the subject matter, they will have a difficult time gathering accurate data. For qualitative research to be accurate, the interviewer involved must have specific skills, experiences, and expertise in the subject matter being studied. They must also be familiar with the material being evaluated and have the knowledge to interpret responses that are received. If any piece of this skill set is missing, the quality of the data being gathered can be open to interpretation.

11. Qualitative research is not statistically representative. The one disadvantage of qualitative research which is always present is its lack of statistical representation. It is a perspective-based method of research only, which means the responses given are not measured. Comparisons can be made and this can lead toward the duplication which may be required, but for the most part, quantitative data is required for circumstances which need statistical representation and that is not part of the qualitative research process.

The advantages and disadvantages of qualitative research make it possible to gather and analyze individualistic data on deeper levels. This makes it possible to gain new insights into consumer thoughts, demographic behavioral patterns, and emotional reasoning processes. When a research can connect the dots of each information point that is gathered, the information can lead to personalized experiences, better value in products and services, and ongoing brand development.

DOI: 10.17169/FQS-7.4.175
Corpus ID: 4208625

Advantages and disadvantages of four interview techniques in qualitative research

Rjg Raymond Opdenakker
Published 30 September 2006
Forum Qualitative Social Research

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Unstructured interviews: advantages and disadvantages.

Home » Unstructured Interviews: Advantages and Disadvantages

Flexible Insights play a vital role in extracting meaningful data from unstructured interviews. In these settings, the conversation often flows organically, allowing participants to express their thoughts and feelings freely. This spontaneous nature not only uncovers deep emotional connections but also sheds light on subtleties that structured formats might miss.

By embracing this flexibility, researchers can gain unique perspectives that inform decision-making and strategy. However, embracing unstructured interviews does come with challenges. It is essential to balance the richness of data with effective analysis techniques to harness these insights properly. Understanding both the advantages and disadvantages will enhance the overall value derived from unstructured interviews.

Advantages of Unstructured Interviews: Unlocking Flexible Insights

Unstructured interviews provide a unique opportunity to unlock flexible insights that are often buried within rigid formats of inquiry. These interviews foster a conversational atmosphere, allowing participants to share their thoughts freely. This organic flow can reveal deeper emotions and opinions, enriching the data collected beyond mere surface-level responses.

One of the key advantages is adaptability. Interviewers can adjust their questions based on responses, diving into areas of interest that may not have initially been explored. This flexibility means that insights can evolve as the conversation develops, leading to a richer understanding of the subject matter. Additionally, unstructured interviews can help identify nuanced pain points and behaviors through open dialogue, enabling researchers to capture authentic human experiences. Such insights are invaluable for making informed decisions in a variety of contexts.

In-depth Understanding and Flexibility

Unstructured interviews offer researchers the flexibility to explore topics in depth, allowing participants to express themselves freely. This flexibility leads to flexible insights that are often richer than those from structured formats. The interviewer's adaptability means they can probe deeper based on participant responses, uncovering nuances that might otherwise go unnoticed.

The in-depth understanding gained through these interviews can reveal unique perspectives and unexpected information. This approach allows researchers to capture participants' emotions, motivations, and experiences authentically. By fostering a conversational environment, unstructured interviews create space for creativity in responses, making them invaluable for qualitative research . Ultimately, this flexibility enhances the ability to gather insights that are both profound and actionable, providing researchers with a comprehensive understanding of their subjects.

Building Rapport and Trust

Building rapport and trust is essential in conducting effective unstructured interviews. Establishing a comfortable environment encourages participants to share their thoughts openly. When interviewers actively listen and show empathy, they create a safe space for respondents to express themselves without fear of judgment. This connection is crucial in gathering flexible insights, allowing for a deeper understanding of the subject matter.

Moreover, demonstrating genuine interest in the interviewee’s experiences fosters trust. Simple gestures, like maintaining eye contact and using affirming nods, can significantly impact the interview dynamic. Engaging in small talk at the beginning helps ease the tension, making participants feel valued and respected. By nurturing this rapport, interviewers can elicit richer responses, ultimately leading to a more comprehensive analysis of the insights gained. Prioritizing trust in the interview process enhances not only the quality of the data collected but also the overall experience for all involved.

Disadvantages of Unstructured Interviews: Challenges in Flexible Insights

Unstructured interviews can provide valuable insights, but they also present notable challenges that can hinder the effectiveness of the data gathered. Firstly, the flexibility that defines unstructured interviews often leads to a lack of focus, resulting in critical insights being overlooked. Without a structured format, respondents may diverge from central topics, making it difficult to obtain actionable insights. This lack of consistency can create variability in responses, complicating the analysis process.

Secondly, the absence of standardized questions can introduce bias and subjectivity into the findings. Interviewers may unconsciously lead participants toward particular answers or misinterpret responses due to preconceived notions. This uncertainty makes it challenging to ensure that the insights derived are reliable and valid. Thus, while unstructured interviews promote a conversational atmosphere, they can complicate the achievement of flexible insights, ultimately requiring careful analysis to extract meaningful conclusions.

Lack of Consistency and Reliability

Unstructured interviews offer flexible insights; however, their lack of consistency can pose significant challenges. The subjective nature of these interviews means that different interviewers may prompt varying responses from participants. As each interviewer approaches the conversation differently, the resulting data can lack reliability. This variability makes it difficult to compare findings across different sessions or studies.

Moreover, the very essence of unstructured interviews—allowing participants to freely express their thoughts—can lead to unforeseen biases. These biases may influence the interviewer’s interpretation, further complicating the analysis process. As a result, the insights gathered, while rich and detailed, may not be replicable. To enhance the reliability of data collected, formalizing certain aspects of the interview process can help minimize inconsistency. Establishing guidelines may create a more standardized approach, ensuring that the flexible insights gathered maintain a level of reliability and utility in research outcomes.

Increased Time and Resource Investment

Unstructured interviews often require a significant investment of time and resources, which can be daunting for many organizations. This investment is essential for obtaining flexible insights that drive meaningful outcomes. The open-ended nature of these interviews enables deeper exploration of participant perspectives, but it often means longer preparation and analysis times.

Firstly, preparing questions and structuring the session can take considerable effort. Unlike structured interviews, where questions follow a set format, unstructured interviews demand adaptability and creativity. Secondly, conducting the interviews consumes a substantial amount of time, with each session potentially lasting anywhere from 30 minutes to several hours. Lastly, analyzing the collected data requires thorough attention, ensuring that the insights gathered are comprehensive and actionable. Thus, while the time and resource investment might seem high, the potential for flexible insights often justifies it, enhancing the overall quality of research outcomes.

Conclusion: Weighing the Flexible Insights of Unstructured Interviews

Unstructured interviews offer flexible insights that can uncover deep layers of understanding about a subject. This method allows respondents to express their thoughts freely, providing nuanced perspectives often missed in structured formats. The spontaneity of these conversations often leads to unexpected findings, enhancing the richness of the data collected.

However, while unstructured interviews can yield these valuable insights, researchers must also be aware of potential challenges, such as difficulty in analysis and the risk of bias. Balancing the flexibility of unstructured interviews with a structured approach to analysis can help to maximize their benefits while minimizing drawbacks. By doing so, organizations can harness the full potential of the insights gained.

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Advantages and Disadvantages of Interview in Research
It provides flexibility to the interviewers. The interview has a better response rate than mailed questions, and the people who cannot read and write can also answer the questions. The interviewer can judge the non-verbal behavior of the respondent. The interviewer can decide the place for an interview in a private and silent place, unlike the ...
Types of Interviews in Research
Advantages and disadvantages of interviews. Interviews are a great research tool. They allow you to gather rich information and draw more detailed conclusions than other research methods, taking into consideration nonverbal cues, off-the-cuff reactions, and emotional responses.. However, they can also be time-consuming and deceptively challenging to conduct properly.
Interviews in Social Research: Advantages and Disadvantages
The Limitations of unstructured interviews. The main theoretical disadvantage is the lack of reliability - unstructured Interviews lack reliability because each interview is unique - a variety of different questions are asked and phrased in a variety of different ways to different respondents. They are also difficult to repeat, because the ...
Interviews in the social sciences
Abstract. In-depth interviews are a versatile form of qualitative data collection used by researchers across the social sciences. They allow individuals to explain, in their own words, how they ...
Structured Interview
Structured Interview | Definition, Guide & Examples. Published on January 27, 2022 by Tegan George and Julia Merkus. Revised on June 22, 2023. A structured interview is a data collection method that relies on asking questions in a set order to collect data on a topic. It is one of four types of interviews.. In research, structured interviews are often quantitative in nature.
What is a Research Interview? (Types + Steps of Conducting)
Here are some common types of research interviews: 1. Structured Interviews. Structured interviews are standardized and follow a fixed format. Therefore, these interviews have a pre-determined set of questions. All the participants are asked the same set of questions in the same order.
interviews
In semi-structured interviews, interviewer prepares a set of same questions to be answered by all interviewees. At the same time, additional questions might be asked during interviews to clarify and/or further expand certain issues. Advantages of interviews include possibilities of collecting detailed information about research questions.
Advantages and Disadvantages of Four Interview Techniques in
Face-to-face interviews have long been the dominant interview technique in the field of qualitative research. In the last two decades, telephone interviewing became more and more common.
Qualitative Interviewing
Abstract. Qualitative interviewing is a foundational method in qualitative research and is widely used in health research and the social sciences. Both qualitative semi-structured and in-depth unstructured interviews use verbal communication, mostly in face-to-face interactions, to collect data about the attitudes, beliefs, and experiences of ...
10.7 Strengths and Weaknesses of Qualitative Interviews
As with quantitative survey research, qualitative interviews rely on respondents' ability to accurately and honestly recall whatever details about their lives, circumstances, thoughts, opinions, or behaviors are being examined. Qualitative interviewing is also time-intensive and can be quite expensive. Creating an interview guide, identifying ...
Research Methods Guide: Interview Research
Develop an interview guide. Introduce yourself and explain the aim of the interview. Devise your questions so interviewees can help answer your research question. Have a sequence to your questions / topics by grouping them in themes. Make sure you can easily move back and forth between questions / topics. Make sure your questions are clear and ...
Unstructured Interview
In research, unstructured interviews are usually qualitative in nature, and can be very helpful for social science or humanities research focusing on personal experiences. ... In-person, phone, or video interviews each have their own advantages and disadvantages. In general, live interviews can lead to nervousness or interviewer effects, where ...
Qualitative Interview Pros and Cons
To conduct and analyze, interviews require a finger to dial, an ear to listen, a telephone, and a keyboard or notepad. Like surveys today, interviews can launch in real time, and it is easy to share top-line reports in a day for time-sensitive projects. Weaknesses of Interviews . Of course, interviews also have inherent weaknesses.
Strengths and Weaknesses of Qualitative Interviews
NVivo and Atlasti are computer programs that qualitative researchers use to help them with organizing, sorting, and analyzing their data. Qualitative interviews allow respondents to share information in their own words and are useful for gathering detailed information and understanding social processes. Drawbacks of qualitative interviews ...
Advantages and Disadvantages of Four Interview Techniques in
Face-to-face interviews have long been the dominant interview technique in the field of qualitative research. In the last two decades, telephone interviewing became more and more common. Due to the explosive growth of new communication forms, such as computer mediated communication (for example e-mail and chat boxes), other interview techniques ...
A methodological guide to using and reporting on interviews in
Based on the advantages and disadvantages, only 12% of papers suggested specific recommendations in terms of the future use of interviews. ... of critical reflection perhaps suggests overconfidence or lack of awareness of reporting requirements in the use of interviews as a research methodology, perhaps in part caused by a desire to present a ...
(PDF) Strengths and Weaknesses of Semi-Structured Interviews in
A semi-structured interview (SSI) is one of the essential tools in conduction qualitative research. This essay draws upon the pros and cons of applying semi-structured interviews (SSI) in the ...
Situating and Constructing Diversity in Semi-Structured Interviews
The following section identifies the relative advantages and disadvantages of each of these modes of administration. Face-to-face. The face-to-face administration ... Shuy R. W. (2001). In-person versus telephone interviewing. In Gubrium J. F., Holstein J. A. (Eds.), Handbook of interview research: Context and method (pp. 537-557). Thousand ...
14 Advantages and Disadvantages of Interviews
Disadvantages of Interviews. Subjectivity: Interviews can be subject to bias, both on the part of the interviewer and the interviewee. This can lead to skewed or inaccurate information. Limited Sample Size: Interviews are time-consuming and resource-intensive, making it challenging to conduct them with a large sample size.
PDF Advantages and disadvantages of four interview techniques in
the advantages and disadvantages of face-to-face, telephone, e-mail and MSN messenger inter-views. By including telephone and MSN messenger interviews in the comparison, the scope of this article is broader than the article of BAMPTON and COWTON (2002). Table of Contents 1. Introduction 2. Advantages and Disadvantages of the Four Interview ...
23 Advantages and Disadvantages of Qualitative Research
9. Unseen data can disappear during the qualitative research process. The amount of trust that is placed on the researcher to gather, and then draw together, the unseen data that is offered by a provider is enormous. The research is dependent upon the skill of the researcher being able to connect all the dots.
Advantages and disadvantages of four interview techniques in
Face-to-face interviews have long been the dominant interview technique in the field of qualitative research. In the last two decades, telephone interviewing became more and more common. Due to the explosive growth of new communication forms, such as computer mediated communication (for example e-mail and chat boxes), other interview techniques can be introduced and used within the field of ...
Unstructured Interviews: Advantages and Disadvantages
Understanding both the advantages and disadvantages will enhance the overall value derived from unstructured interviews. Advantages of Unstructured Interviews: Unlocking Flexible Insights. Unstructured interviews provide a unique opportunity to unlock flexible insights that are often buried within rigid formats of inquiry. These interviews ...

Advantages and Disadvantages of Interview in Research

listing out the advantages of interview studies, which are noted below:

Interviews in Social Research: Advantages and Disadvantages

Types of interview

Interviews: key terms

The Strengths and Limitations of Unstructured Interviews

The strengths of unstructured interviews

The Limitations of unstructured interviews

Sociological perspectives on interviews

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Interviews in the social sciences

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The fundamental importance of method to theory

How ‘going online’ mediates the challenges of policy elite interviews

Participatory action research

Experimentation

Research design

Study design

Data collection

Topic guide

Optimizing the interview

Ethics and reflexivity

Ethical considerations prior to interview

Box 1 Mapping potential forms of harm

Ethical considerations post-interview

Reflexivity and positionality

Box 2 Aspects to reflect on reflexively

Preparing data

Box 3 Excerpt of interview transcript (from Teeger 24 )

From data to codes

From coding to analysis and writing

Applications

Nationalism and ethnicity

Education and inequality

The welfare state

Reproducibility and data deposition

Box 4 An example of grounding interpretations in data (from Rao 34 )

Limitations and optimizations

Breadth versus depth of insight

Naturalistic or artificial interviews

Dynamism and replicability

Accessing the private and personal

Collaborating and mixing

Digital innovations and challenges

The next 5–10 years

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Research Interviews: An effective and insightful way of data collection

The Significance of Research Interviews in Gathering Primary Data

1. Subjective Experience

2. Personal Insights

3. Clarification and Validation

4. Contextual Information

5. Non-verbal Cues

Types of Research Interviews

1. Structured Interviews

2. Semi-structured Interviews

3. Unstructured Interviews

4. Group Interviews (Focus Groups)

5. Narrative Interviews

6. Ethnographic Interviews

Steps of Conducting a Research Interview

Considerations for Research Interviews

Frequently Asked Questions

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