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Analiza uvjetnog procesa (moderatizirana medijacija)×Kauzalna analiza medijacije (prirodni izravni i neizravni učinak)×
PodručjeUzročno zaključivanjeUzročno zaključivanje
ObiteljRegression modelRegression model
Godina nastanka20182010
TvoracAndrew F. Hayes (PROCESS framework); Preacher, Rucker & Hayes (moderated mediation)Pearl (2001); general framework by Imai, Keele & Tingley (2010)
VrstaRegression-based conditional process modelCounterfactual causal decomposition
Temeljni izvorHayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). The Guilford Press. ISBN: 978-1462534654Pearl, J. (2001). Direct and Indirect Effects. In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI), 411-420. link ↗
Drugi nazivimoderated mediation, moderated mediation analysis, PROCESS model, Hayes PROCESS conditional process modelnatural direct effect, natural indirect effect, NDE / NIE decomposition, counterfactual mediation
Srodne55
SažetakConditional process analysis is Andrew F. Hayes's regression-based PROCESS framework (2018) that combines mediation and moderation in a single model, testing how an indirect effect changes across levels of a moderator. It quantifies conditional indirect and conditional direct effects and tests them with bootstrap confidence intervals.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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ScholarGateUsporedite metode: Conditional Process Analysis · Causal Mediation Analysis. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare