方法对比
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| 多层次中介分析× | 调节（交互）分析× | |
|---|---|---|
| 领域≠ | 统计学 | 因果推断 |
| 方法族≠ | Hypothesis test | Regression model |
| 起源年份≠ | 2003 | 2018 |
| 提出者≠ | Kenny, Korchmaros & Bolger | Aiken & West (1991); Hayes (PROCESS, 2018) |
| 类型≠ | Multilevel structural model | Linear regression with interaction term |
| 开创性文献≠ | Kenny, D. A., Korchmaros, J. D., & Bolger, N. (2003). Lower level mediation in multilevel models. Psychological Methods, 8(2), 115–128. DOI ↗ | Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis (2nd ed.). Guilford Press. ISBN: 978-1462534654 |
| 别名≠ | multilevel mediation, hierarchical mediation, cross-level mediation, 1-1-1 mediation | interaction analysis, moderated regression, simple moderation, Düzenleyici Değişken Analizi (Moderation / İnteraksiyon) |
| 相关≠ | 8 | 5 |
| 摘要≠ | Multilevel mediation analysis is a parametric structural method that estimates indirect (mediated) effects within hierarchically nested data, such as students within schools or employees within organisations. Formalised for lower-level mediation in multilevel models by Kenny, Korchmaros and Bolger (2003), it simultaneously handles individual-level (1-1-1) and group-level (2-2-1 or 2-1-1) mediation pathways in a single coherent framework. | 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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