Comparer des méthodes

	L'analyse factorielle exploratoire longitudinale (AFE longitudinale)	Analyse factorielle confirmatoire longitudinale
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1970s–1983	1970s–1990s
Auteur d'origine	John R. Nesselroade and colleagues (lifespan developmental tradition)	Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
Type	Latent variable / dimension reduction across time	Longitudinal latent variable / measurement 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.	Widaman, K. F. & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). American Psychological Association.
Alias	LEFA, longitudinal factor analysis, repeated-measures EFA, panel EFA	longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
Apparentées	6	6
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.	Longitudinal confirmatory factor analysis (longitudinal CFA) applies a theoretically specified measurement model to data collected at two or more time points. Its primary purpose is to verify that a scale measures the same latent construct in the same way over time — a prerequisite for drawing valid conclusions about change from repeated-measures data.