Сравнение методов

	Многогрупповая конвергентная валидность	Многогрупповой конфирматорный факторный анализ (MG-CFA)
Область	Психометрия	Психометрия
Семейство	Latent structure	Latent structure
Год появления	1981 / 2000	1971
Автор метода	Fornell & Larcker (convergent validity criteria); Vandenberg & Lance (multi-group extension)	Karl Jöreskog
Тип	Validity assessment procedure	Measurement model / invariance test
Основополагающий источник	Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.	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.
Другие названия	cross-group convergent validity, multi-sample convergent validity, MGCFA convergent validity, AVE across groups	MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
Связанные	6	6
Сводка	Multi-group convergent validity examines whether items purported to measure the same latent construct relate strongly to that construct consistently across distinct subgroups such as demographic categories, cultures, or experimental conditions. It extends single-sample convergent validity checks into a comparative multi-group confirmatory factor analysis framework.	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.