Qualitative researchers have increasingly new ways to engage with their participants. Beyond the traditional and still most frequent approach of the in-person mode, qualitative researchers have a host of technological solutions at their disposal. Instead of in-person focus group discussions, for instance, the researcher might opt for asynchronous focus groups. Or rather than in-person multiple methods qualitative research, the researcher might design an all-tech solution that blends online observation with asynchronous groups or any one of several technological options for the in-depth interview method such as mobile video or the email IDI.
The following is a presentation given at the2018 annual conference of the American Association for Public Opinion Research. This presentation discusses five tech solutions to qualitative research data collection with particular consideration given to the aspects of these approaches that strengthen or weaken data quality. These quality considerations are discussed from the perspective of the Total Quality Framework and, specifically, the Credibility component which has to do with qualitative data collection.
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The Total Quality Framework (TQF) offers researchers a way to think about basic research principles at each stage of the qualitative research process – data collection, analysis, reporting – with the goal of doing something of value with the outcomes (i.e., the usefulness of the research). The first of the four components of the TQF is Credibility which pertains to the data collection phase of a qualitative study. A detailed discussion of Credibility can be found in this 2017 Research Design Review article.
This article – and in similar fashion to the companion articles associated with the other three components of the TQF – explains the chief elements that define Credibility, stating that “credible qualitative research is the result of effectively managing data collection, paying particular attention to the two specific areas of Scope and Data Gathering.” Although a great deal of the discussions thus far have been centered on traditional qualitative methods, the increasingly important role of technological solutions in qualitative research makes it imperative that the discussion of Credibility (and the other TQF components) expand to the digital world.
The online asynchronous focus group (“bulletin board”) method has been around for a long time. It is clearly an approach that offers qualitative researchers many advantages over the face-to-face mode while also presenting challenges to the integrity of research design. The following presents a snapshot of the online bulletin board focus group method through the lens of the two main ingredients of the TQF Credibility component – Scope and Data Gathering. This snapshot is not an attempt to name all the strengths and limitations associated with the Credibility of the online asynchronous focus group method but rather highlight a few key considerations.
The definition and use of the content analysis method in qualitative research varies depending on the particular type of qualitative content analysis (QCA) being conducted. The most common QCA method is utilized when it plays a supportive analytical role in combination with other qualitative methods, such as in-depth interviews (IDIs) and focus group discussions, i.e., when content analysis is being used as a secondary method. The other less common QCA method is used when the source of content is an existing, naturally occurring repository of information (such as historical documents, media content, and diaries), i.e., when content analysis is being used as a primary method.
A systematic application of QCA* as a secondary method has been conducted across a variety of disciplines. Health care researchers in particular have used content analysis in conjunction with other qualitative methods to investigate a broad range of topics. For example, Söderberg and Lundman (2001) applied the content analysis method to analyze the results from 25 unstructured IDIs conducted with women inflicted with fibromyalgia, from which they isolated five areas in these women’s lives impacted by the onset of this condition. In a similar approach, Berg and Hansson (2000) examined the lived experiences of 13 nurses working in dementia care at a psychogeriatric clinic who received clinical group supervision and individually planned nursing care. Berg and Hansson conducted unstructured, open-ended IDIs with each nurse and executed a content analysis that revealed two principal and five subordinate themes indicating supportive needs at the personal and professional level. Kyngäs (2004) studied the support network among 40 teenagers suffering from a chronic disease, such as asthma or epilepsy, by way of semi-structured IDIs. Content analysis in this instance showed six distinct social network Read Full Text