Comparer des méthodes

	Analyse de médiation modérée robuste	Analyse de modération robuste
Domaine	Statistique	Statistique
Famille	Latent structure	Latent structure
Année d'origine	2007–2013	2007
Auteur d'origine	Hayes, A. F.; building on Preacher, Rucker & Hayes (2007) for moderated mediation and robust bootstrap inference	Hayes & Cai; Wilcox
Type	Conditional indirect effect model with robust inference	Robust regression-based interaction test
Source fondatrice	Hayes, A. F. (2022). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (3rd ed.). Guilford Press. ISBN: 978-1462549030	Hayes, A. F. & Cai, L. (2007). Using heteroscedasticity-consistent standard error estimators in OLS regression: An introduction and software implementation. Behavior Research Methods, 39(4), 709–722.
Alias	robust conditional process analysis, robust mediated moderation, robust moderated indirect effects, robust conditional indirect effects	robust interaction analysis, robust moderated regression, HC-corrected moderation, outlier-resistant interaction testing
Apparentées	5	5
Résumé	Robust moderated mediation tests whether the indirect effect of X on Y through a mediator M varies as a function of a moderator W, while using robust estimation (percentile or bias-corrected bootstrap, heteroscedasticity-consistent standard errors, or M-estimation) to protect inference against non-normality, outliers, and heteroscedasticity in the data.	Robust moderation analysis tests whether the effect of a predictor on an outcome depends on the level of a moderator variable, using estimation methods that remain valid under non-normality, heteroscedasticity, or the presence of influential outliers. It is the preferred approach when standard ordinary least squares assumptions cannot be trusted.