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حوزهروان‌سنجیروان‌سنجی
خانوادهLatent structureLatent structure
سال پیدایش20001985
پدیدآورCharles RaginHerman Wold
نوعSet-theoretic configurational methodComponent-based structural equation model
منبع بنیادینRagin, 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
نام‌های دیگرfsQCA, FSQCAPLS-SEM, PLS path modeling
مرتبط45
خلاصهFuzzy-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.
ScholarGateمجموعه‌داده
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  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Fuzzy-Set Qualitative Comparative Analysis · Partial Least Squares Structural Equation Modeling. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare