Research Design & Methods

Narrative Research: Considerations in Gathering Quality Data

The following is a modified excerpt from Applied Qualitative Research Design: A Total Quality Framework Approach (Roller & Lavrakas, 2015, pp. 317-318).

The in-depth interview method most often used in narrative research takeStorytellings the form of the unstructured interview where the interviewer is not so much equipped with a series of questions or topics as a reminder of the research objective and areas where clarification or words of encouragement may be particularly appropriate. In lieu of a formal interview guide, the interviewer may want to enlist certain aids. For instance, Elliott (2005) suggests using a “life history grid” (e.g., a spreadsheet with each row representing a specific year and the columns used to record life events) to facilitate biographical interviews when narrators may need some structure in which to place their life events, beyond an open-ended question such as “Tell me about your life.” A Total Quality Framework approach to narrative research fully supports the life history grid and other tools that may enable the narrative researcher to obtain more complete and accurate data that ultimately lead to more credible and useful outcomes.

Another important consideration when conducting narrative research, particularly in the in-person mode, is the very close relationship that is likely to develop between the interviewer and the storyteller. For this reason, Read Full Text

The Social Environment & Focus Group Participants’ Willingness to Engage

The following is a modified excerpt from Applied Qualitative Research Design: A Total Quality Framework Approach (Roller & Lavrakas, 2015, pp. 148-150).

Beyond discussion guide development and the effects of the moderator, there is another critical component that threatens the quality of data gathered in the focus group discussion method: the participants themselves. The social environment of a focus group discussionparticipants in a group discussion face a more daunting social environment than in-depth interviewees, an environment in which participants are typically expected to meet (in-person, on the phone, or online) and engage with a group of strangers. At the minimum, participants in a dyad find themselves among two other individuals they have never met (the moderator and other participant); and, in the opposite extreme, participants in an online asynchronous group may be one of 10 or 12 or more people who have been asked to join the discussion.

As with the in-depth interview (IDI) method, focus group participants in any mode (i.e., in-person, phone, or online) may threaten the integrity and credibility of group discussion data by their unwillingness or reluctance to divulge certain information, leading them to say nothing or to make an inaccurate statement. For instance, in some focus group studies, what people do not know (or have not done) is a central part of what the study is exploring (e.g., recruiting people who have not been involved with a local nonprofit organization to learn about their Read Full Text

Quality Qualitative Research: As Strong As Its Weakest Link

The Total Quality Framework (TQF) is rooted in the idea that a quality approach to qualitative research requires “quality thinking” at each stage of the research process. It is an idea derived from the logic that it is not good enough to think carefully about data collection without also thinking as carefully about the analysis and reporting phases while keeping a discerning eye on the ultimate goal of gaining useful research results. This fundamental concept underlies the TQF and serves to define its four components – Credibility (pertaining to the data collection phase), Analyzability (analysis), and Transparency (reporting), and Usefulness (being able to do something of value with the outcomes).

By considering quality standards at each step in the research design, qualitative researchers maintain the integrity of their data through the entire study thereby producing something of value to the users of their research. For instance, a concerted quality approach to data collection – an approach that mitigates researcher bias and gathers valid data – but a disregard for the quality process in the analysis phase – e.g., transcripts are poorly done, coding is inconsistent, and verification of the data is absent – weakens the entire study. Likewise, a deliberate quality approach to data collection and analysis but a failure to write a transparent final document that reveals the details of the study’s scope, data gathering, analysis process and verification, effectively masks the integrity of the research and undermines its critical value to users.

A holistic quality-centric approach to qualitative research design essentially means that a weakness in any one link in the quality chain – the chain from data collection to analysis to reporting – erodes the purpose of conducting qualitative research (regardless of method) which is to offer useful information by way of new hypotheses, next steps, and/or applications to other contexts.

 

 

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