Порівняння методів

	Надійна аналіз модерації	Аналіз модерації (взаємодії)
Галузь	Статистика	Причинно-наслідковий висновок
Родина	Latent structure	Regression model
Рік появи	2007	2018
Автор методу	Hayes & Cai; Wilcox	Aiken & West (1991); Hayes (PROCESS, 2018)
Тип	Robust regression-based interaction test	Linear regression with interaction term
Основоположне джерело	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 (2nd ed.). Guilford Press. ISBN: 978-1462534654
Інші назви	robust interaction analysis, robust moderated regression, HC-corrected moderation, outlier-resistant interaction testing	interaction analysis, moderated regression, simple moderation, Düzenleyici Değişken Analizi (Moderation / İnteraksiyon)
Пов'язані	5	5
Підсумок	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.	Moderation analysis tests whether the effect of a predictor X on an outcome Y changes with the level of a third variable W, the moderator. It is estimated within a regression framework through an interaction term X×W, popularised by Aiken & West (1991) and Hayes's PROCESS macro (2018).