Comparer des méthodes

	Recherche confirmatoire basée sur des données de panel	Analyse Factorielle Confirmatoire (AFC)
Domaine	Conception de la recherche	Psychométrie
Famille	Process / pipeline	Latent structure
Année d'origine	1960s–1980s (formalization of panel methods with confirmatory inference)	1969
Auteur d'origine	Multiple contributors; panel data analysis formalized by Yair Mundlak, Zvi Griliches, and Edwin Kuh in the 1960s–1970s; confirmatory integration developed across econometrics and SEM traditions	Karl Gustav Jöreskog
Type	Quantitative longitudinal research design	Hypothesis-testing latent variable model
Source fondatrice	Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Alias	confirmatory panel design, longitudinal confirmatory study, panel confirmatory analysis, PBCR	CFA, confirmatory FA, measurement model, restricted factor analysis
Apparentées	4	4
Résumé	Panel-based confirmatory research combines the longitudinal power of panel data — repeated observations of the same units over time — with a pre-specified, hypothesis-driven analytic framework. Instead of exploring patterns post-hoc, the researcher commits to theoretical propositions before data collection and uses the panel structure to test causal or directional claims while controlling for unobserved time-invariant confounders. It is widely used in economics, sociology, epidemiology, and organizational 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.