In 2020, there were 14 articles published in Research Design Review. These articles include those pertaining to broad issues in qualitative research design, such as sample size, as well as more narrow topics concerning specific qualitative methods – focus groups, ethnography, in-depth interviews, and case study research – and the online mode. A compilation of these articles is now available here for download.
In addition to these 14 articles, six compilations of earlier RDR articles were released in 2020 for download. These include:
One of the controversies associated with case study research designs centers on “generalization” and the extent to which the data can explain phenomena or situations outside and beyond the specific scope of a particular study. On the one hand, there are researchers such as Yin (2014) who espouse “analytical generalization” whereby the researcher compares (or “generalizes”) case study data to existing theory1. From Yin’s perspective, case study research is driven by the need to develop or test theory, giving single- as well as multiple-case study research explanatory powers — “Some of the best and most famous case studies have been explanatory case studies” (Yin, 2014, p. 7).
Diane Vaughan’s research is a case study referenced by Yin (2014) as an example of a single-case research design that resulted in outcomes that provided broader implications (i.e., “generalized”) to similar contexts outside the case. In both The Challenger Launch Decision: Risky Technology, Culture, and Deviance at NASA (1996) and “The Trickle-Down Effect: Policy Decisions, Risky Work, and the Challenger Tragedy” (1997), Vaughan describes the findings and conclusions from her study of the circumstances that led to the Challenger disaster in 1986. By way of scrutinizing archival documents and conducting interviews, Vaughan “reconstructed the history of decision making” and ultimately discovered “an incremental descent into poor judgment” (1996, p. xiii). More broadly, Vaughan used this study to Read Full Text
My approach to qualitative data analysis has nothing to do with Post-it Notes, clipping excerpts from transcripts (digitally or with scissors), or otherwise breaking participants’ input (“data”) into bite-size pieces. My approach is the opposite of that. My goal is to gain an enriched understanding of each participant’s lived experience associated with the research questions and objectives and, from there, develop an informed contextually nuanced interpretation across participants. By way of deriving “thick meaning” within and across participants, I hope to provide the sponsor of the research with consequential and actionable outcomes.
I begin the analysis process immediately after completing the first in-depth interview (IDI) or focus group discussion by writing down (typically, in a spreadsheet) what I think I learned from each participant or group discussion pertaining to the key research questions and objectives as well as any new, unexpected yet relevant topic areas. I do this by referring to my in-session notes (for IDIs) and the IDI or group discussion audio recording. I then give thoughtful study and internalize each participant’s lived experience associated with the research questions and objectives which enables me to gain an understanding of the complexities of any one thought or idea while also respectfully preserving the integrity of the individual or group of individuals. “Preserving the integrity of the individual or group of individuals” is an important component of this approach which is grounded in the belief that researchers have a moral obligation to make a concerted effort to uphold each participant’s individuality to the extent possible in the analytical process.
At the completion of the final IDI or focus group discussion, I begin reflecting more heavily on what I learned from each participant Read Full Text