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Analisis Perbandingan Kualitatif Set Kabur×Pemodelan Persamaan Struktural Kuasa Dua Separa×
BidangPsikometrikPsikometrik
KeluargaLatent structureLatent structure
Tahun asal20001985
PengasasCharles RaginHerman Wold
JenisSet-theoretic configurational methodComponent-based structural equation model
Sumber perintisRagin, 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
Berkaitan45
RingkasanFuzzy-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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ScholarGateBandingkan kaedah: Fuzzy-Set Qualitative Comparative Analysis · Partial Least Squares Structural Equation Modeling. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare