Сравнение методов

	Робастный анализ модерации	Модерированный медиационный анализ
Область	Статистика	Статистика
Семейство	Latent structure	Latent structure
Год появления	2007	2007
Автор метода	Hayes & Cai; Wilcox	Preacher, Rucker & Hayes
Тип	Robust regression-based interaction test	Conditional process model
Основополагающий источник	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.	Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654
Другие названия	robust interaction analysis, robust moderated regression, HC-corrected moderation, outlier-resistant interaction testing	conditional process analysis, moderated mediation model, first-stage moderated mediation, second-stage moderated mediation
Связанные	5	4
Сводка	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.	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?