Triangulating Data

For those of you familiar with the ins and outs of qualitative research, you’ll know that enhancing methodological rigor of your qualitative study is essential.

One way to improve the credibility of a qualitative study is triangulation. Although a number of well-known sources discuss this concept (e.g., Denzin, Lincoln, Guba, Patton), I particularly like how Guoin et al. (2002*) organize the different types of triangulation (i.e., triangulating data, investigators, theory, methods, and environment).

In the second phase of RIPPLE (focus groups for intervention refinement), we are employing the use of data triangulation. This entails using different sources of data to enhance credibility of a study. In our case, these sources refers to the diversity of participants; to date, we’ve recruited administrators, graduate trainees, health care providers (from both primary- and tertiary-level care), parents, and research coordinators. Together, this diverse group of participants will help to ensure that we’ve obtained a rich, in-depth, and comprehensive array of perspectives on our developed intervention.

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