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Fuzzy-Set Qualitative Comparative Analysis×Partiell minste kvadraters strukturell ligningsmodellering×
FagfeltPsykometriPsykometri
FamilieLatent structureLatent structure
Opprinnelsesår20001985
OpphavspersonCharles RaginHerman Wold
TypeSet-theoretic configurational methodComponent-based structural equation model
Opprinnelig kildeRagin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage Publications. ISBN: 9781483377445
AliasfsQCA, FSQCAPLS-SEM, PLS path modeling
Relaterte45
SammendragFuzzy-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.PLS-SEM is a variance-based approach to structural equation modeling developed by Herman Wold (1985) that estimates latent variable models by maximizing the variance explained in dependent variables. Unlike covariance-based SEM, PLS-SEM is particularly useful for exploratory research, small to medium samples, complex models with many constructs, and non-normal data.
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ScholarGateSammenlign metoder: Fuzzy-Set Qualitative Comparative Analysis · Partial Least Squares Structural Equation Modeling. Hentet 2026-06-17 fra https://scholargate.app/no/compare