Comparer des méthodes

	L'analyse factorielle exploratoire longitudinale (AFE longitudinale)	Analyse Factorielle Confirmatoire (AFC)
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1970s–1983	1969
Auteur d'origine	John R. Nesselroade and colleagues (lifespan developmental tradition)	Karl Gustav Jöreskog
Type	Latent variable / dimension reduction across time	Hypothesis-testing latent variable model
Source fondatrice	Nesselroade, J. R. (1983). Temporal selection and factor invariance in the study of development and change. In P. B. Baltes & O. G. Brim (Eds.), Life-Span Development and Behavior (Vol. 5, pp. 59–87). Academic Press.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Alias	LEFA, longitudinal factor analysis, repeated-measures EFA, panel EFA	CFA, confirmatory FA, measurement model, restricted factor analysis
Apparentées	6	4
Résumé	Longitudinal EFA applies exploratory factor analysis separately at each measurement occasion — or jointly across occasions — to discover whether the same latent factor structure emerges over time and whether factor loadings remain stable across waves. It is the foundational data-driven approach for examining structural change and continuity in panel and developmental research.	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.