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Analyse Factorielle Confirmatoire (AFC)×Analyse de médiation×
DomainePsychométrieStatistique
FamilleLatent structureHypothesis test
Année d'origine19691986
Auteur d'origineKarl Gustav JöreskogBaron & Kenny
TypeHypothesis-testing latent variable modelIndirect effects / path test
Source fondatriceJöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗Baron, R. M. & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research. Journal of Personality and Social Psychology, 51(6), 1173–1182. link ↗
AliasCFA, confirmatory FA, measurement model, restricted factor analysisindirect effects analysis, path-based mediation, PROCESS macro mediation, Aracılık Analizi (Mediation / PROCESS)
Apparentées45
RésuméConfirmatory 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.Mediation analysis is a statistical procedure that tests whether the effect of an independent variable X on an outcome Y operates wholly or partly through a third variable M, called the mediator. Formalised by Baron and Kenny in 1986, it decomposes the total effect of X on Y into a direct path (c′) and an indirect path (a × b), quantifying how much of the relationship is carried by the mediating mechanism.
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ScholarGateComparer des méthodes: Confirmatory factor analysis · Mediation Analysis. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare