Comparer des méthodes

	Oméga de McDonald bayésien	Analyse Factorielle Confirmatoire (AFC)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1999 (omega); 2010s (Bayesian estimation)	1969
Auteur d'origine	R. P. McDonald (omega); Bayesian extension developed by Kelley, Pornprasertmanit, and others	Karl Gustav Jöreskog
Type	Reliability / internal consistency estimation	Hypothesis-testing latent variable model
Source fondatrice	Kelley, K. & Pornprasertmanit, S. (2016). Confidence intervals for population reliability coefficients: Evaluation of methods, recommendations, and software for composite measures. Psychological Methods, 21(1), 69–92.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Alias	Bayesian omega, Bayesian composite reliability, posterior omega, Bayesian omega total	CFA, confirmatory FA, measurement model, restricted factor analysis
Apparentées	3	4
Résumé	Bayesian McDonald's omega applies Bayesian statistical estimation to the omega reliability coefficient, yielding a full posterior distribution over omega rather than a single point estimate. This provides credible intervals and probabilistic uncertainty quantification for the reliability of a composite or scale score, making it especially useful for small samples and complex factor structures.	Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.