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Kvalitativna komparativna analiza s neizrazitim skupovima×Modeliranje strukturnih jednadžbi metodom parcijalnih najmanjih kvadrata×
PodručjePsihometrijaPsihometrija
ObiteljLatent structureLatent structure
Godina nastanka20001985
TvoracCharles RaginHerman Wold
VrstaSet-theoretic configurational methodComponent-based structural equation model
Temeljni izvorRagin, 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
Drugi nazivifsQCA, FSQCAPLS-SEM, PLS path modeling
Srodne45
SažetakFuzzy-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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ScholarGateUsporedite metode: Fuzzy-Set Qualitative Comparative Analysis · Partial Least Squares Structural Equation Modeling. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare