Comparer des méthodes

	Analyse factorielle confirmatoire abrégée (SF-CFA)	Analyse Factorielle Confirmatoire (AFC)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1990s–2000s	1969
Auteur d'origine	Building on CFA methodology (Jöreskog, 1969) applied to abbreviated scale contexts	Karl Gustav Jöreskog
Type	Confirmatory latent-variable model	Hypothesis-testing latent variable 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	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Alias	SF-CFA, abbreviated scale CFA, short-form validation, brief scale factor analysis	CFA, confirmatory FA, measurement model, restricted factor analysis
Apparentées	4	4
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.	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.