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| 贝叶斯调节分析× | 调节中介分析× | |
|---|---|---|
| 领域 | 统计学 | 统计学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 2000s–2010s | 2007 |
| 提出者≠ | Bayesian framework applied to moderation by Kruschke, Gelman and colleagues | Preacher, Rucker & Hayes |
| 类型≠ | Interaction / moderator test | Conditional process model |
| 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: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654 |
| 别名 | Bayesian interaction analysis, Bayesian moderated regression, Bayesian moderator testing, BMA | conditional process analysis, moderated mediation model, first-stage moderated mediation, second-stage moderated mediation |
| 相关≠ | 2 | 4 |
| 摘要≠ | Bayesian moderation analysis tests whether the relationship between a predictor and an outcome changes depending on the value of a third variable (the moderator). By placing prior distributions on all model parameters and updating them with observed data, it yields full posterior distributions for the interaction effect — enabling direct probability statements about the moderation rather than binary significance decisions. | 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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