Comparer des méthodes

	Modèle de Rasch polytomique	Analyse Factorielle Confirmatoire (AFC)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1978–1982	1969
Auteur d'origine	Gerhard N. Masters (Partial Credit Model); David Andrich (Rating Scale Model)	Karl Gustav Jöreskog
Type	Item response model	Hypothesis-testing latent variable model
Source fondatrice	Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47(2), 149–174.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Alias	PRM, Rating Scale Model, Partial Credit Model, Polytomous IRT Rasch	CFA, confirmatory FA, measurement model, restricted factor analysis
Apparentées	6	4
Résumé	The Polytomous Rasch Model extends the dichotomous Rasch framework to ordered response scales with three or more categories, such as Likert items or partial-credit tasks. It estimates person ability and item difficulty on the same interval-level logit scale, and it tests whether the response categories function as intended — prerequisites for rigorous ordinal measurement.	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.