So sánh phương pháp

	Lý thuyết Khả tổng quát Đa nhóm	Phân tích nhân tố xác nhận đa nhóm (MG-CFA)
Lĩnh vực	Trắc lượng tâm lý	Trắc lượng tâm lý
Họ	Latent structure	Latent structure
Năm ra đời	1963–2001	1971
Người khởi xướng	Lee J. Cronbach and colleagues (Cronbach, Gleser, Nanda, Rajaratnam), extended to multi-group contexts by Brennan and others	Karl Jöreskog
Loại	Variance component / reliability generalization	Measurement model / invariance test
Công trình gốc	Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826	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.
Tên gọi khác	MG G-theory, multi-group G-theory, generalizability theory across groups, cross-group G-study	MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
Liên quan	6	6
Tóm tắt	Multi-group generalizability theory (MG G-theory) extends classical generalizability theory to estimate and compare variance components — attributable to persons, items, raters, occasions, and their interactions — simultaneously across two or more defined groups. It reveals whether a measurement procedure is equally reliable and generalizable for every group studied, supporting fair and equitable score interpretation.	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.