Fuzzy-Set Qualitative Comparative Analysis
Fuzzy-Set Qualitative Comparative Analysis (fsQCA) er en sætteoretisk metode udviklet af Charles Ragin i starten af 2000-tallet, som kombinerer den konfigurationelle logik fra kvalitative casestudier med den matematiske stringens fra fuzzy sets. Den bygger bro mellem kvalitativ og kvantitativ forskning ved at tillade forskere at undersøge kausal kompleksitet gennem kombinationer af betingelser (konfigurationer) snarere end isolerede variable.
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Method map
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Kilder
- Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI: 10.7208/chicago/9780226702797.001.0001 ↗
- 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 ↗
- 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 ↗
Sådan citerer du denne side
ScholarGate. (2026, June 3). Fuzzy-Set Qualitative Comparative Analysis. ScholarGate. https://scholargate.app/da/psychometrics/fsqca
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Multipel faktoranalysePsykometri↔ compare
- Partial Least Squares Structural Equation ModelingPsykometri↔ compare
- Process TracingPsykometri↔ compare
- Rule Space MethodologyPsykometri↔ compare
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