Comparer des méthodes

	Analyse factorielle confirmatoire abrégée (SF-CFA)	Théorie de la réponse aux items (TRI)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1990s–2000s	1952–1968
Auteur d'origine	Building on CFA methodology (Jöreskog, 1969) applied to abbreviated scale contexts	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
Type	Confirmatory latent-variable model	Probabilistic measurement model
Source fondatrice	Byrne, B. M. (2008). Structural Equation Modeling with EQS: Basic Concepts, Applications, and Programming (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805841268	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
Alias	SF-CFA, abbreviated scale CFA, short-form validation, brief scale factor analysis	IRT, latent trait theory, item characteristic curve theory, modern test theory
Apparentées	4	5
Résumé	Short-form confirmatory factor analysis applies CFA to a reduced subset of items drawn from a longer validated scale, testing whether the abbreviated version preserves the original factor structure with acceptable model fit and reliability. It is a standard step in short-form scale development and validation.	Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons.