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حوزهآمارآمار
خانوادهLatent structureLatent structure
سال پیدایش2008–20142007
پدیدآورYuan & MacKinnon (median-regression formulation, 2014); robust bootstrap variants popularised by Hayes (2013) and Preacher & Hayes (2008)Preacher, Rucker & Hayes
نوعCausal inference / indirect effectsConditional process model
منبع بنیادینYuan, Y., & MacKinnon, D. P. (2014). Robust mediation analysis based on median regression. Psychological Methods, 19(1), 1–20. DOI ↗Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654
نام‌های دیگرrobust indirect effects, outlier-resistant mediation, robust causal mediationconditional process analysis, moderated mediation model, first-stage moderated mediation, second-stage moderated mediation
مرتبط54
خلاصهRobust 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?
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ScholarGateمقایسهٔ روش‌ها: Robust Mediation Analysis · Moderated Mediation. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare