Comparer des méthodes

	Analyse d'items pour tests adaptatifs informatisés	Analyse Factorielle Confirmatoire (AFC)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1970s–1990s	1969
Auteur d'origine	Lord, Weiss, and colleagues in psychometric research on adaptive testing	Karl Gustav Jöreskog
Type	Item calibration and evaluation	Hypothesis-testing latent variable model
Source fondatrice	van der Linden, W. J. & Glas, C. A. W. (Eds.) (2000). Computerized Adaptive Testing: Theory and Practice. Kluwer Academic Publishers. ISBN: 978-0792365556	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Alias	CAT item analysis, adaptive item calibration, IRT-based CAT item evaluation, adaptive item parameter estimation	CFA, confirmatory FA, measurement model, restricted factor analysis
Apparentées	6	4
Résumé	Computerized adaptive test item analysis evaluates and calibrates items intended for use in adaptive testing environments. Unlike fixed-form analysis, it accounts for the non-random item exposure inherent in adaptive administration, using item response theory to estimate item parameters, information functions, and exposure rates across the ability continuum.	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.