Comparer des méthodes

	Modèle de Rasch ordinal (Modèles d'échelle de notation et de crédits partiels)	Analyse Factorielle Confirmatoire (AFC)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1978–1982	1969
Auteur d'origine	David Andrich (RSM, 1978); Geoff Masters (PCM, 1982)	Karl Gustav Jöreskog
Type	Item response model for ordered categories	Hypothesis-testing latent variable model
Source fondatrice	Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43(4), 561–573.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Alias	Rating Scale Model, Partial Credit Model, RSM, PCM	CFA, confirmatory FA, measurement model, restricted factor analysis
Apparentées	6	4
Résumé	The ordinal Rasch model extends the dichotomous Rasch framework to items with ordered response categories such as Likert-type scales. It places both persons and items on a shared interval-level metric, enabling principled measurement from ordinal data while checking whether items function consistently across all response thresholds.	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.