Total Quality Framework

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 research 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

Useful Qualitative Research: The Total Quality Framework Usefulness Component

Our research is of little value if the outcomes are not deemed useful in some way. This is true for all types of research. Whether it is qualitative, quantitative, or a mixed methods approach, the “carrot” that dangles ahead of the research team is the promise of reaching worthwhile, actionable conclusions and recommendations for the users and sponsors of the research. Achieving this objective – reaching the “carrot” of useful research – is the product of the quality measures put into place at the data collection, analysis, and reporting phases of the research design.

The Total Quality Framework (TQF)* offers a way of thinking about these quality measures in a qualitative research design. The TQF is comprised of four inter-related components, each having to do with a stage of the research process.  Recent articles in Research Design Review have discussed three of these components – Credibility pertaining to data collection, Analyzability having to do with the processing and verification of qualitative data, and Transparency relating to the reporting of details associated with data collection, analysis, and the drawing of interpretations.

The fourth component of the TQF is Usefulness or the “ability to do something of value with the outcomes.” The ultimate strength of the Usefulness component is a function of the vigor – the attention to quality – within the Credibility (data collection), Analyzability (analysis), and Transparency (reporting) components. In this way, the Usefulness component relies on each of the other components independently as well as collectively. The goal is to maximize the value of a qualitative research study for Read Full Text

Transparent Qualitative Research: The Total Quality Framework Transparency Component

The Total Quality Framework (TQF)* contributes to the conversation in the qualitative research community by providing researchers with a way to think about their qualitative designs – along with strategies or techniques – for the purpose of enhancing the quality of research outcomes. The TQF is a comprehensive approach that considers all stages of the research process – from data collection to the final “product.” Recent articles in Research Design Review discussed two of the four components of the TQF – specifically, the Credibility component and the Analyzability component. The Credibility component pertains to data collection and consists of Scope (having to do with sampling and coverage) and Data Gathering (having to do with minimizing potential bias, nonresponse, and other factors that may weaken the validity of the data). The Analyzability component of the TQF is focused on the Processing of qualitative data (e.g., the quality by which the initial “raw” data is transformed) as well as Verification of research findings and interpretations (e.g., by way of deviant cases, peer debriefs, the reflexive journal).

The third component of the TQF has to do with the next phase in a qualitative research design – that is, reporting. When the data has been collected and thoroughly processed and verified, the qualitative researcher Read Full Text