Total Quality Framework

qualitative research design articles

Research Design Review currently includes 180 articles concerning quantitative and qualitative research design issues.  As in recent years, the articles published in 2017 generally revolved around qualitative research, addressing the many concerns in qualitative research design and ways to help the researcher achieve quality outcomes throughout the research process.

“Qualitative research design: A collection of articles from Research Design Review published in 2017″ is a compilation of the 20 articles in 2017 pertaining to a wide variety of qualitative research design issues:

The “Quality” in Qualitative Research Debate & the Total Quality Framework

The following is a modified excerpt from Applied Qualitative Research Design: A Total Quality Framework Approach (Roller & Lavrakas, 2015, pp.15-17).

The field of qualitative research has paid considerable attention in the past half century to the issue of research “quality.” Despite these efforts, there remains a lack of agreement among qualitative researchers about how quality Total Quality Frameworkshould be defined and how it should be evaluated (cf. Lincoln & Guba, 1985, 1986; Lincoln, 1995; Morse et al., 2002; Reynolds et al., 2011; Rolfe, 2006; Schwandt, Lincoln, & Guba, 2007). Some who seem to question whether quality can be defined and evaluated appear to hold the view that each qualitative research is so singularly unique in terms of how the data are created and how sense is made of these data that striving to assess quality is a wasted effort that never leads to a satisfying outcome about which agreement can be reached. Among other things, this suggests that validity – meaning, “the correctness or credibility of a description, conclusion, explanation, interpretation, or other sort of account” (Maxwell, 2013, p. 122) – is solely in the eye of the beholder and that convincing someone else that a qualitative study has generated valid and actionable findings is more an effort of subjective persuasion than an effort of applying dispassionate logic to whether the methods that were used to gather and analyze the data led to “valid enough” conclusions for the purpose(s) to which they were meant to serve.

Controversy also exists about how to determine the quality of a qualitative study. Arguments are made by some that the quality of a qualitative study is determined solely by the methods and processing that the researchers have used to conduct their studies. Others argue Read Full Text

Making Connections: Practical Applications of the Total Quality Framework in Mixed Methods Research

The Total Quality Framework (TQF) (Roller & Lavrakas, 2015) offers researchers a way to think about qualitative Mixed Methods Researchresearch design from the vantage point of core principles. It is an approach that helps qualitative researchers develop critical thinking skills by giving explicit attention to the quality of the conceptualization and implementation of their qualitative studies. The TQF is composed of four components, each pertaining to a phase of the research process – data collection (Credibility), analysis (Analyzability), reporting (Transparency), and the ability to do something of value with the outcomes (Usefulness).

Qualitative research is most often conducted as a standalone study but frequently conducted in conjunction with quantitative methods. A mixed methods research (MMR) design involves collecting both qualitative and quantitative data, then integrating or connecting the two datasets to draw interpretations derived from the combined strengths of both sets of data (Creswell, 2015). The integration of, or making the connection between, the qualitative and quantitative components is fundamental to MMR and distinguishes it from a multi-method approach that simply utilizes different methods.  In contrast, a mixed methods design incorporates any number of qualitative and quantitative methods (and modes) with the specific intention of blending the data in some fashion. Mixed methods research is the subject of an earlier article in Research Design Review.

So, how do we apply the TQF to a MMR design? It is not good enough to simply think of the qualitative component Read Full Text