Comparer des méthodes

	Théorie de la généralisabilité multi-groupes	Alpha de Cronbach multi-groupes
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1963–2001	1951 (alpha); multi-group application from 1980s onward
Auteur d'origine	Lee J. Cronbach and colleagues (Cronbach, Gleser, Nanda, Rajaratnam), extended to multi-group contexts by Brennan and others	Lee J. Cronbach (alpha); multi-group extension in cross-cultural and measurement invariance research
Type	Variance component / reliability generalization	Reliability / internal consistency comparison
Source fondatrice	Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826	Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.
Alias	MG G-theory, multi-group G-theory, generalizability theory across groups, cross-group G-study	group-stratified alpha, cross-group alpha comparison, subgroup internal consistency, MG-alpha
Apparentées	6	4
Résumé	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 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.