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| 階層的媒介分析× | 因果媒介分析（自然直接効果および自然間接効果）× | |
|---|---|---|
| 分野≠ | 統計学 | 因果推論 |
| 系統≠ | Hypothesis test | Regression model |
| 提唱年≠ | 2003 | 2010 |
| 提唱者≠ | Kenny, Korchmaros & Bolger | Pearl (2001); general framework by Imai, Keele & Tingley (2010) |
| 種類≠ | Multilevel structural model | Counterfactual causal decomposition |
| 原典≠ | Kenny, D. A., Korchmaros, J. D., & Bolger, N. (2003). Lower level mediation in multilevel models. Psychological Methods, 8(2), 115–128. DOI ↗ | Pearl, J. (2001). Direct and Indirect Effects. In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI), 411-420. link ↗ |
| 別名≠ | multilevel mediation, hierarchical mediation, cross-level mediation, 1-1-1 mediation | natural direct effect, natural indirect effect, NDE / NIE decomposition, counterfactual mediation |
| 関連≠ | 8 | 5 |
| 概要≠ | 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. | Causal mediation analysis is a counterfactual framework that splits a treatment's total effect into a Natural Direct Effect (NDE) and a Natural Indirect Effect (NIE) that runs through a mediator. The modern general approach was formalised by Pearl (2001) and Imai, Keele and Tingley (2010), giving the decomposition a precise causal interpretation. |
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