Comparer des méthodes

	Validité discriminante multiniveaux	Analyse factorielle confirmatoire multiniveau (MCFA)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	2005	1994
Auteur d'origine	Dyer, Hanges, & Hall; Chen, Sousa, & West	Bengt O. Muthen
Type	Validity evaluation within multilevel CFA	Latent variable model / measurement model
Source fondatrice	Dyer, N. G., Hanges, P. J., & Hall, R. J. (2005). Applying multilevel confirmatory factor analysis techniques to the study of leadership. Leadership Quarterly, 16(1), 149–167.	Muthen, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398.
Alias	multilevel DV, cross-level discriminant validity, hierarchical discriminant validity, ML-DV	MCFA, multilevel measurement model, two-level CFA, hierarchical CFA
Apparentées	5	6
Résumé	Multilevel discriminant validity evaluates whether theoretically distinct constructs are empirically separable when data are nested within higher-level units such as teams, schools, or organizations. It extends single-level discriminant validity checks into a multilevel confirmatory factor analysis framework, verifying that constructs are distinguishable both within and between levels simultaneously.	Multilevel confirmatory factor analysis tests a pre-specified factor structure while simultaneously accounting for the non-independence of observations caused by clustered data. It decomposes item variance into within-group and between-group components, fitting a separate measurement model at each level, making it the standard tool for validating psychometric scales administered within natural groups such as classrooms, clinics, or organisations.