Сравнение методов

	Многогрупповой конфирматорный факторный анализ (MG-CFA)	Многогрупповой исследовательский факторный анализ (MGEFA)
Область	Психометрия	Психометрия
Семейство	Latent structure	Latent structure
Год появления	1971	1981
Автор метода	Karl Jöreskog	Muthén & Christoffersson
Тип	Measurement model / invariance test	Latent variable / multi-group dimension reduction
Основополагающий источник	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.	Muthén, B. & Christoffersson, A. (1981). Simultaneous factor analysis of dichotomous variables in several groups. Psychometrika, 46(4), 407–419.
Другие названия	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
Связанные	6	6
Сводка	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.