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Analyse de médiation multiniveaux×Modèle à effets fixes pour données de panel×
DomaineStatistiqueÉconométrie
FamilleHypothesis testRegression model
Année d'origine20032014
Auteur d'origineKenny, Korchmaros & BolgerHsiao (textbook treatment); within transformation of panel data
TypeMultilevel structural modelPanel data regression
Source fondatriceKenny, D. A., Korchmaros, J. D., & Bolger, N. (2003). Lower level mediation in multilevel models. Psychological Methods, 8(2), 115–128. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Aliasmultilevel mediation, hierarchical mediation, cross-level mediation, 1-1-1 mediationfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Apparentées85
RésuméMultilevel 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.The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Multilevel Mediation Analysis · Panel Fixed Effects. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare