Strengths & Limitations of the In-depth Interview Method: An Overview

The following is a modified excerpt from Applied Qualitative Research Design: A Total Quality Framework Approach (Roller & Lavrakas, 2015, pp. 56-57).

Strengths

The potential advantages or strengths of the in-depth interview (IDI) method reside in three key areas: (1) the interviewer–interviewee relationship, (2) the interview itself, and (3) the analytical component Two people talkingof the process. The relative closeness of the interviewer–interviewee relationship that is developed in the IDI method potentially increases the credibility of the data by reducing response biases (e.g., distortion in the outcomes due to responses that are considered socially acceptable, such as “I attend church weekly,” acquiescence [i.e., tendency to agree], and satisficing [i.e., providing an easy “don’t know” answer to avoid the extra cognitive burden to carefully think through what is being asked]) and nonresponse, while also increasing question–answer validity (i.e., the interviewee’s correct interpretation of the interviewer’s question).

An additional strength of the IDI method is the flexibility of the interview format, which allows the interviewer to tailor the order in which questions are asked, modify the question wording as appropriate, ask follow-up questions to clarify interviewees’ responses, and use indirect questions (e.g., the use of projective techniques) to stimulate subconscious opinions or recall. It should be noted, however, that “flexibility” does not mean a willy-nilly approach to interviewing, and, indeed, the interviewer should employ quality measures such as those outlined in “Applying a Quality Framework to the In-depth Interview Method.”

A third key strength of the IDI method—analyzability of the data—is a byproduct of the interviewer–interviewee relationship and the depth of interviewing techniques, which produce a granularity in the IDI data that is rich Read Full Text

“Did I Do Okay?”: The Case for the Participant Reflexive Journal

It is not unusual for an in-depth interview (IDI) or focus group participant to wonder at some point in an interview or discussion if the participant “did okay”; that is, whether the participant responded to the researcher’s questions in the Reflexivitymanner in which the researcher intended. For instance, an interviewer investigating parents’ healthy food purchases for their children might ask a mother to describe a typical shopping trip to the grocery store. In response, the mother might talk about the day of the week, the time of day, where she shops, and whether she is alone or with her children or someone else. After which she might ask the interviewer, Is that the kind of thing you were looking for? Is that what you mean? Did I do okay in answering your question? The interviewer’s follow up might be, Tell me something about the in-store experience such as the sections of the store you visit and the kinds of food items you typically buy.

It is one thing to misinterpret the intention of a researcher’s question – e.g., detailing the logistics of food purchasing rather than the actual food purchase experience – but another thing to adjust responses based on any number of factors influenced by the researcher-participant interaction. These interaction effects stem, in part, from the participant’s attempt to “do okay” in their role in the research process. Dr. Kathryn Roulston at the University of Georgia has written quite a bit about interaction in research interviews, including a just published edited volume Interactional Studies of Qualitative Research Interviews.

The dynamics that come into play in an IDI or focus group study – and in varying degrees, ethnographic research – are of great interest to qualitative researchers and important considerations in the overall quality of the research. This is the reason that a lot has been written about the researcher’s reflexive journal and its importance in Read Full Text

Qualitative Data Processing: Minding the Knowledge Gaps

The following is a modified excerpt from Applied Qualitative Research Design: A Total Quality Framework Approach (Roller & Lavrakas, 2015, pp. 34-37).

Once all the data for a qualitative study have been created and gathered, they are rarely ready to be analyzed without further analytic work of some nature being done. At this stage the researcher is working with preliminary data from a collective datasetKnowledge gap that most often must be processed in any number of ways before “sense making” can begin.

For example, it may happen that after the data collection stage has been completed in a qualitative research study, the researcher finds that some of the information that was to be gathered from one or more participants is missing. In a focus group study, for instance, the moderator may have forgotten to ask participants in one group discussion to address a particular construct of importance—such as, the feeling of isolation among newly diagnosed cancer patients. Or, in a content analysis, a coder may have failed to code an attribute in an element of the content that should have been coded.

In these cases, and following from a Total Quality Framework (TQF) perspective, the researcher has the responsibility to actively decide whether or not to go back and fill in the gap in the data when that is possible. Regardless of what decision the researcher makes about these potential problems that are discovered during the data processing stage, the researcher working from the TQF perspective should keep these issues in mind when the analyses and interpretations of the findings are conducted and when the findings and recommendations are disseminated.

It should also be noted that the researcher has the opportunity to mind these gaps during the data collection process itself by continually monitoring interviews or group discussions. As discussed in this Research Design Review article, the researcher should continually review the quality of completions by addressing such questions as Did every interview cover every question or issue important to the research? and Did all interviewees provide clear, unambiguous answers to key questions or issues? In doing so, the researcher has mitigated the potential problem of knowledge gaps in the final data.

 

 

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