Comparer des méthodes

	Analyse de médiation modérée	Modélisation par équations structurelles
Domaine	Statistique	Statistiques de recherche
Famille	Latent structure	Process / pipeline
Année d'origine	2007	1921
Auteur d'origine	Preacher, Rucker & Hayes	Sewall Wright
Type	Conditional process model	Method
Source fondatrice	Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654	Jöreskog, K. G., & Sörbom, D. (1973). LISREL: A general computer program for estimating a linear structural equation system. Research Bulletin 73-5. University of Stockholm.
Alias	conditional process analysis, moderated mediation model, first-stage moderated mediation, second-stage moderated mediation	SEM, path analysis, latent variable modeling, causal modeling
Apparentées	4	3
Résumé	Moderated mediation tests whether the indirect effect of an independent variable on an outcome — transmitted through a mediator — differs in strength depending on the level of a moderator variable. It answers the question: for whom, or under what conditions, does the mediated pathway operate most strongly?	Structural equation modeling (SEM) is a comprehensive statistical framework combining path analysis (Sewall Wright, 1921) and confirmatory factor analysis to test complex causal models linking observed and latent variables. Formalized by Jöreskog (1973) with LISREL software, SEM enables simultaneous estimation of measurement relationships (how variables measure latent constructs) and structural relationships (how constructs influence outcomes), making it powerful for theory testing in psychology, epidemiology, organizational research, and health sciences where complex mediation, moderation, and latent processes require integrated analysis.