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Fuzzy-Set Kwalitatieve Vergelijkende Analyse×Multiple Factor Analysis×
VakgebiedPsychometriePsychometrie
FamilieLatent structureLatent structure
Jaar van ontstaan20001985
GrondleggerCharles RaginBrigitte Escofier, Jérôme Pagès
TypeSet-theoretic configurational methodMultiblock dimension reduction
Oorspronkelijke bronRagin, 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
AliassenfsQCA, FSQCAMFA, MFA multiple
Verwant45
SamenvattingFuzzy-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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ScholarGateMethoden vergelijken: Fuzzy-Set Qualitative Comparative Analysis · Multiple Factor Analysis. Geraadpleegd op 2026-06-15 via https://scholargate.app/nl/compare