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	Analisi di mediazione moderata	Modellizzazione di Equazioni Strutturali
Campo	Statistica	Statistica per la ricerca
Famiglia	Latent structure	Process / pipeline
Anno di origine	2007	1921
Ideatore	Preacher, Rucker & Hayes	Sewall Wright
Tipo	Conditional process model	Method
Fonte seminale	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
Correlati	4	3
Sintesi	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.