Comparer des méthodes

	Invariance de la mesure des tests adaptatifs informatisés	Analyse Factorielle Confirmatoire (AFC)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1990s–2000s	1969
Auteur d'origine	Building on Meredith (1993) for invariance and Lord (1980) for adaptive testing	Karl Gustav Jöreskog
Type	Measurement equivalence testing in adaptive testing contexts	Hypothesis-testing latent variable model
Source fondatrice	Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0805864946	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Alias	CAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CAT	CFA, confirmatory FA, measurement model, restricted factor analysis
Apparentées	6	4
Résumé	Computerized adaptive test measurement invariance evaluates whether a CAT instrument measures the same latent construct with the same psychometric properties across different groups (e.g., gender, language, clinical vs. community) or time points. It combines IRT-based adaptive test frameworks with measurement equivalence testing to ensure fair and comparable score interpretation.	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.