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تحليل المقارنة النوعية للمجموعات الضبابية×نمذجة المعادلات الهيكلية بالحد الأدنى من المربعات الجزئية×
المجالالقياس النفسيالقياس النفسي
العائلةLatent structureLatent structure
سنة النشأة20001985
صاحب الطريقةCharles RaginHerman Wold
النوعSet-theoretic configurational methodComponent-based structural equation model
المصدر التأسيسيRagin, 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
الأسماء البديلةfsQCA, FSQCAPLS-SEM, PLS path modeling
ذات صلة45
الملخصFuzzy-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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ScholarGateقارن الطرق: Fuzzy-Set Qualitative Comparative Analysis · Partial Least Squares Structural Equation Modeling. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare