方法对比
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| 多组验证性因子分析 (MG-CFA)× | 多组探索性因子分析 (MGEFA)× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1971 | 1981 |
| 提出者≠ | Karl Jöreskog | Muthén & Christoffersson |
| 类型≠ | Measurement model / invariance test | Latent variable / multi-group dimension reduction |
| 开创性文献≠ | 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 ↗ | Muthén, B. & Christoffersson, A. (1981). Simultaneous factor analysis of dichotomous variables in several groups. Psychometrika, 46(4), 407–419. DOI ↗ |
| 别名 | MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA | MGEFA, multi-sample exploratory factor analysis, simultaneous EFA across groups, exploratory factor analysis with multiple groups |
| 相关 | 6 | 6 |
| 摘要≠ | 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. | 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. |
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