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Fuzzy-Set Qualitative Comparative Analysis×Process Tracing×
ÄmnesområdePsykometriPsykometri
FamiljLatent structureLatent structure
Ursprungsår20002005
UpphovspersonCharles RaginAlexander George, Andrew Bennett
TypSet-theoretic configurational methodQualitative causal inference
UrsprungskällaRagin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗Bennett, A., & Checkel, J. T. (Eds.). (2015). Process Tracing: From Metaphor to Analytic Tool. Cambridge University Press. DOI ↗
AliasfsQCA, FSQCA
Närliggande45
SammanfattningFuzzy-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.Process Tracing is a qualitative research method developed by George and Bennett (2005) for studying causal mechanisms and causal chains within individual cases. It involves examining the sequence of events and decision-making processes within a case to infer whether a hypothesized causal mechanism actually operated. Process tracing aims to strengthen causal inference in case studies by looking beyond correlation to understand how causes produce effects.
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ScholarGateJämför metoder: Fuzzy-Set Qualitative Comparative Analysis · Process Tracing. Hämtad 2026-06-17 från https://scholargate.app/sv/compare