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Method evidence record

Fuzzy-Set Qualitative Comparative Analysis

Fuzzy-Set Qualitative Comparative Analysis (fsQCA) is a set-theoretic method developed by Charles Ragin in the early 2000s that combines the configurational logic of qualitative case studies with the mathematical rigor of fuzzy sets. It bridges qualitative and quantitative research by allowing researchers to examine causal complexity through combinations of conditions (configurations) rather than isolated variables.

Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.

Source record

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Fuzzy-Set Qualitative Comparative Analysis

Taxonomic method recordlatent-structurepsychometrics

  1. Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. · DOI 10.7208/chicago/9780226702797.001.0001

  2. Ragin, C. C. (2006). Set relations in social research: Evaluating their consistency and coverage. Political Analysis, 14(3), 291-310. · DOI 10.1093/pan/mpj019

  3. Fiss, P. C. (2011). Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of Management Journal, 54(2), 393-420. · DOI 10.5465/amj.2011.60263120

Open full method3 recorded citations, copied from the method source record.

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Related methods

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