WASP (write a scientific paper): An introduction to set-theoretic methods and qualitative comparative analysis.
1Department of Public Health, Faculty of Medicine and Surgery, University of Malta, Malta.
Early Human Development
|April 9, 2019
Summary
This paper introduces set-theoretic methods for qualitative research, focusing on qualitative comparative analysis (QCA). It details QCA
Area of Science:
- Social Sciences
- Qualitative Research Methods
Background:
- Set-theoretic methods offer a robust framework for qualitative data analysis.
- Qualitative comparative analysis (QCA) is a prominent set-theoretic method gaining traction in health research.
Purpose of the Study:
- To introduce set-theoretic methods and their application in qualitative research.
- To provide a detailed overview of qualitative comparative analysis (QCA).
Main Methods:
- Discussion of philosophical underpinnings and suitability for qualitative data.
- Exploration of theoretical aspects, sample size, set calibration, and software for QCA.
- Illustrative example using fs/QCA software for result interpretation.
Main Results:
- Set-theoretic methods, particularly QCA, are well-suited for analyzing complex qualitative data.
- The paper demonstrates the practical application and interpretation of QCA results.
Conclusions:
- Set-theoretic methods, especially QCA, provide valuable tools for qualitative researchers.
- Understanding QCA enhances the rigor and depth of qualitative health research analysis.
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