Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Fuzzy-Set Qualitative Comparative Analysis× | Моделювання структурними рівняннями методом часткових найменших квадратів× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 2000 | 1985 |
| Автор методу≠ | Charles Ragin | Herman Wold |
| Тип≠ | Set-theoretic configurational method | Component-based structural equation model |
| Основоположне джерело≠ | Ragin, 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 |
| Інші назви | fsQCA, FSQCA | PLS-SEM, PLS path modeling |
| Пов'язані≠ | 4 | 5 |
| Підсумок≠ | Fuzzy-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. |
| ScholarGateНабір даних ↗ |
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