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DziedzinaPsychometriaPsychometria
RodzinaLatent structureLatent structure
Rok powstania20001985
TwórcaCharles RaginBrigitte Escofier, Jérôme Pagès
TypSet-theoretic configurational methodMultiblock dimension reduction
Źródło pierwotneRagin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗Escofier, B., & Pagès, J. (1985). Analyses factorielles simples et multiples : Objectifs, méthodes et interprétation. Dunod. ISBN: 9782040116835
Inne nazwyfsQCA, FSQCAMFA, MFA multiple
Pokrewne45
PodsumowanieFuzzy-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.Multiple Factor Analysis (MFA) is a dimension reduction technique developed by Escofier and Pagès (1985) for analyzing multiple groups of variables measured on the same observations. MFA balances the influence of each variable group to provide a unified view of how observations relate across multiple perspectives.
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ScholarGatePorównaj metody: Fuzzy-Set Qualitative Comparative Analysis · Multiple Factor Analysis. Pobrano 2026-06-15 z https://scholargate.app/pl/compare