Σύγκριση μεθόδων

	Ανάλυση Εύρωστης Διαμεσολάβησης	Ανώμαλη Ανάλυση Διαμεσολάβησης
Πεδίο	Στατιστική	Στατιστική
Οικογένεια	Latent structure	Latent structure
Έτος προέλευσης	2008–2014	2007
Δημιουργός	Yuan & MacKinnon (median-regression formulation, 2014); robust bootstrap variants popularised by Hayes (2013) and Preacher & Hayes (2008)	Preacher, Rucker & Hayes
Τύπος	Causal inference / indirect effects	Conditional process model
Θεμελιώδης πηγή	Yuan, Y., & MacKinnon, D. P. (2014). Robust mediation analysis based on median regression. Psychological Methods, 19(1), 1–20.	Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654
Εναλλακτικές ονομασίες	robust indirect effects, outlier-resistant mediation, robust causal mediation	conditional process analysis, moderated mediation model, first-stage moderated mediation, second-stage moderated mediation
Συναφείς	5	4
Σύνοψη	Robust mediation analysis estimates the indirect effect of an independent variable on an outcome through one or more mediators using estimators that resist the influence of outliers and non-normal error distributions. By combining robust regression (such as median or M-estimation) with percentile or bias-corrected bootstrap confidence intervals, it yields trustworthy conclusions when standard ordinary-least-squares mediation would be distorted by extreme observations.	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?