Comparer des méthodes

	Fiabilité test-retest multi-groupes	Alpha de Cronbach multi-groupes
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1979–2000	1951 (alpha); multi-group application from 1980s onward
Auteur d'origine	Systematic multi-group extensions developed alongside measurement invariance frameworks (Vandenberg & Lance, 2000); intraclass correlation foundation in Shrout & Fleiss (1979)	Lee J. Cronbach (alpha); multi-group extension in cross-cultural and measurement invariance research
Type	Reliability estimation across groups	Reliability / internal consistency comparison
Source fondatrice	Shrout, P. E. & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420–428.	Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.
Alias	multi-group temporal stability, cross-group test-retest reliability, group-comparative retest reliability, multi-sample temporal consistency	group-stratified alpha, cross-group alpha comparison, subgroup internal consistency, MG-alpha
Apparentées	5	4
Résumé	Multi-group test-retest reliability evaluates whether a measure produces stable scores across time separately for two or more defined groups — such as different genders, age cohorts, or clinical populations — and determines whether the degree of that temporal stability is equivalent across those groups.	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.