Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Качествено сравнителен анализ с размити множества× | Частично най-малки квадрати - Моделиране на структурни уравнения× | |
|---|---|---|
| Област | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Година на възникване≠ | 2000 | 1985 |
| Създател≠ | Charles Ragin | Herman Wold |
| Тип≠ | Set-theoretic configurational method | Component-based structural equation model |
| Основополагащ източник≠ | 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 |
| Други названия | fsQCA, FSQCA | PLS-SEM, PLS path modeling |
| Свързани≠ | 4 | 5 |
| Резюме≠ | 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. |
| ScholarGateНабор от данни ↗ |
|
|