Distinguishing the Trees from the Forest: Applying Cluster Analysis to Thematic Qualitative Data

Greg Guest · Eleanor McLellan–Lemal

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Qualitative Research Methods and Applications Computational and Text Analysis Methods Data Analysis and Archiving

Abstract

Qualitative data analysis requires organizing and synthesizing often large quantities of text. In many cases, this analysis entails negotiating the interplay between raw data, semantic themes or codes, and the overarching conceptual framework. In this article, the authors use a case study, which examines HIV vaccine efficacy trial participants' discourse, to demonstrate how cluster analysis can be used to aid in the analysis of large qualitative data sets. After briefly reviewing the systematic approaches to qualitative analysis and describing the project background, the authors present an example of how a hierarchical cluster technique can be incorporated into a multistage thematic analysis.

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References

1994Qualitative Data Analysis: An Expanded Sourcebook 1968The Discovery of Grounded Theory: Strategies for Qualitative Research.1968The Discovery of Grounded Theory; Strategies for Qualitative Research 1984Content Analysis: An Introduction to its Methodology.1993Qualitative Data Analysis: A User Friendly Guide for Social Scientists 1998Codebook Development for Team-Based Qualitative Analysis 1999Handbook of methods in cultural anthropology 1983Quantitative Applications in the Social Sciences

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