Comparer des méthodes

	Alpha de Cronbach multi-groupes	Analyse factorielle confirmatoire multi-groupes (AFC-MG)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1951 (alpha); multi-group application from 1980s onward	1971
Auteur d'origine	Lee J. Cronbach (alpha); multi-group extension in cross-cultural and measurement invariance research	Karl Jöreskog
Type	Reliability / internal consistency comparison	Measurement model / invariance test
Source fondatrice	Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.	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.
Alias	group-stratified alpha, cross-group alpha comparison, subgroup internal consistency, MG-alpha	MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
Apparentées	4	6
Résumé	Multi-group Cronbach's alpha estimates and compares the internal consistency reliability of a scale separately within each of two or more defined subgroups. It is used in cross-cultural, demographic, and comparative psychometric research to establish that a scale measures its construct with equivalent precision across groups before making 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.