Comparer des méthodes

	Fiabilité test-retest multi-groupes	Tests d'invariance de mesure multigroupe
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1979–2000	1971–1993
Auteur d'origine	Systematic multi-group extensions developed alongside measurement invariance frameworks (Vandenberg & Lance, 2000); intraclass correlation foundation in Shrout & Fleiss (1979)	Jöreskog, K. G. (1971); Meredith, W. (1993)
Type	Reliability estimation across groups	Model comparison / hypothesis testing
Source fondatrice	Shrout, P. E. & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420–428.	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	multi-group temporal stability, cross-group test-retest reliability, group-comparative retest reliability, multi-sample temporal consistency	measurement invariance, factorial invariance, cross-group invariance, MI testing
Apparentées	5	6
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 measurement invariance testing examines whether a latent construct is measured in the same way across two or more distinct groups — such as cultures, genders, or age cohorts. It is a prerequisite for meaningful group comparisons of latent means or relationships, ensuring that observed score differences reflect true differences rather than measurement artifacts.