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Análise de Mediação Multinível×Análise de Mediação Causal (Efeitos Diretos e Indiretos Naturais)×
ÁreaEstatísticaInferência causal
FamíliaHypothesis testRegression model
Ano de origem20032010
Autor originalKenny, Korchmaros & BolgerPearl (2001); general framework by Imai, Keele & Tingley (2010)
TipoMultilevel structural modelCounterfactual causal decomposition
Fonte seminalKenny, 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 ↗
Outros nomesmultilevel mediation, hierarchical mediation, cross-level mediation, 1-1-1 mediationnatural direct effect, natural indirect effect, NDE / NIE decomposition, counterfactual mediation
Relacionados85
ResumoMultilevel 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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ScholarGateComparar métodos: Multilevel Mediation Analysis · Causal Mediation Analysis. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare