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| 调节中介分析× | 调节（交互）分析× | |
|---|---|---|
| 领域≠ | 统计学 | 因果推断 |
| 方法族≠ | Latent structure | Regression model |
| 起源年份≠ | 2007 | 2018 |
| 提出者≠ | Preacher, Rucker & Hayes | Aiken & West (1991); Hayes (PROCESS, 2018) |
| 类型≠ | Conditional process model | Linear regression with interaction term |
| 开创性文献≠ | Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654 | Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis (2nd ed.). Guilford Press. ISBN: 978-1462534654 |
| 别名 | conditional process analysis, moderated mediation model, first-stage moderated mediation, second-stage moderated mediation | interaction analysis, moderated regression, simple moderation, Düzenleyici Değişken Analizi (Moderation / İnteraksiyon) |
| 相关≠ | 4 | 5 |
| 摘要≠ | 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? | 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). |
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