Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Многогрупов Експораторен Факторен Анализ (MGEFA)× | Многогрупов конфирматорен факторен анализ (MG-CFA)× | |
|---|---|---|
| Област | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Година на възникване≠ | 1981 | 1971 |
| Създател≠ | Muthén & Christoffersson | Karl Jöreskog |
| Тип≠ | Latent variable / multi-group dimension reduction | Measurement model / invariance test |
| Основополагащ източник≠ | Muthén, B. & Christoffersson, A. (1981). Simultaneous factor analysis of dichotomous variables in several groups. Psychometrika, 46(4), 407–419. DOI ↗ | Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗ |
| Други названия | MGEFA, multi-sample exploratory factor analysis, simultaneous EFA across groups, exploratory factor analysis with multiple groups | MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA |
| Свързани | 6 | 6 |
| Резюме≠ | Multi-group exploratory factor analysis estimates the latent factor structure of a set of items separately within each of two or more groups and then examines whether the discovered structures are consistent across groups. It is used to explore dimensionality before imposing invariance constraints, and to diagnose group-specific factor patterns that would invalidate cross-group comparisons. | Multi-group confirmatory factor analysis tests whether a measurement model holds equivalently across two or more groups — such as cultures, genders, or time points. By imposing increasingly stringent equality constraints and comparing model fit, it determines whether comparisons of latent mean scores are justified. |
| ScholarGateНабор от данни ↗ |
|
|