Comparer des méthodes

	Analyse de la fiabilité longitudinale	Analyse factorielle confirmatoire longitudinale
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1951–1979	1970s–1990s
Auteur d'origine	Paul B. Baltes, John R. Nesselroade, Lee J. Cronbach (foundational contributors)	Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
Type	Reliability assessment	Longitudinal latent variable / measurement model
Source fondatrice	Baltes, P. B., & Nesselroade, J. R. (1979). History and rationale of longitudinal research. In J. R. Nesselroade & P. B. Baltes (Eds.), Longitudinal research in the study of behavior and development (pp. 1–39). 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	repeated-measures reliability, longitudinal consistency assessment, temporal reliability analysis, reliability over time	longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
Apparentées	4	6
Résumé	Longitudinal reliability analysis evaluates the consistency and stability of measurement instruments across two or more time points. It extends classical reliability concepts — internal consistency, test-retest stability, and measurement precision — to repeated-measures designs, ensuring that observed score changes reflect true change rather than measurement error.	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.