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Developing and Implementing a Triangulation Protocol for Qualitative Health Research

Qualitative Health ResearchPublished 31 January 2006
Tracy Farmer, Kerry Robinson, Susan J. Elliott, John Eyles
Citations1,000
SJR quartileQ1
SJR score1.04
SNIP1.25

TL;DR

The authors collected qualitative data within a parallel–case study design using key informant interviews as well as document analysis to present an empirical example of triangulation in qualitative health research.

Abstract

In this article, the authors present an empirical example of triangulation in qualitative health research. The Canadian Heart Health Dissemination Project (CHHDP) involves a national examination of capacity building and dissemination undertaken within a series of provincial dissemination projects. The Project's focus is on the context, processes, and impacts of health promotion capacity building and dissemination. The authors collected qualitative data within a parallel-case study design using key informant interviews as well as document analysis. Given the range of qualitative data sets used, it is essential to triangulate the data to address completeness, convergence, and dissonance of key themes. Although one finds no shortage of admonitions in the literature that it must be done, there is little guidance with respect to operationalizing a triangulation process. Consequently, the authors are feeling their way through the process, using this opportunity to develop, implement, and reflect on a triangulation protocol.

Keywords

Social SciencesHealth Professions