Total Quality Framework

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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Applying the TQF Credibility Component: An IDI Case Study

The Total Quality Framework (TQF) is an approach to qualitative research design that integrates quality principles without stifling the fundamental and unique attributes of qualitative research. In so doing, the TQF helps qualitative researchers develop critical thinking skills by showing them how to give explicit attention to quality issues related to conceptualization, implementation, analysis, and reporting.

The following case study offers an example of how many of the concerns of the Credibility (or data collection) component of the TQF were applied to an in-depth interview (IDI) study conducted by Roller Research. This case study can be read in its entirety in Roller & Lavrakas (2015, pp. 100-103).

Credibility Component of the Total Quality FrameworkScope

This study was conducted for a large provider of information services associated with nonprofit organizations based in the U.S. The purpose was to investigate the information needs among current and former users of these information services in order to facilitate the development of “cutting edge” service concepts.

Eighty-six (86) IDIs were conducted among individuals within various grant-making and philanthropic organizations (e.g., private foundations, public charities, and education institutions) who are responsible for the decision to purchase and utilize these information services.

There were two important considerations in choosing to complete 86 interviews: (a) the required level of analysis – it was important to be able to analyze the data by the various types of organizations, and (b) practical considerations – the available budget (how much money there was to spend on the research) and time restrictions (the research findings were to be presented at an upcoming board meeting). In terms of mode, 28 IDIs were conducted with the largest, most complex users of these information services, while the remaining 58 interviews were conducted on the telephone.

Participants were stratified by type, size, and geographic location and then selected on an nth-name basis across the entire lists of users and former users provided by the research sponsor.

A high degree of cooperation was achieved during the recruitment process by way of: Read Full Text

Mobile & Online Qualitative Research: The Good, the Bad, & the Ugly

Data quality matters. Regardless of the research method or approach, our ability to say anything meaningful about our research outcomes hinges on the integrity of the data. The greater care the researcher takes to ensure the basic ingredients of “good” research design, the more confident the researcher and importantly the user of the research will be in the recommendations drawn from the research and its ultimate usefulness.

This focus on data quality applies to all research. And although it is most often a topic of discussion among survey researchers, data quality considerations are increasingly (I hope!) a discussion among qualitative researchers as well. Indeed, the underlying validity of our qualitative data is an important consideration regardless of the researcher’s paradigm orientation or the qualitative method, including the more recent methodological options – that is, mobile and online qualitative research.

Mobile and online technology – in particular, tech solutions that combine observation with a multimethod/mode approach – offer qualitative researchers new ways to investigate a variety of situations that give them a closer understanding of participants’ lived experiences as never before possible. Three such situations are: Read Full Text