Synthesizing Indirect Effects in Mediation Models With Meta-Analytic Methods | Zendy

Mike W.L. Cheung | Zendy

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Synthesizing Indirect Effects in Mediation Models With Meta-Analytic Methods

Author(s) -

Mike W.L. Cheung

Publication year - 2021

Publication title -

alcohol and alcoholism

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.747

H-Index - 99

eISSN - 1464-3502

pISSN - 0735-0414

DOI - 10.1093/alcalc/agab044

Subject(s) - mediation , outcome (game theory) , variable (mathematics) , structural equation modeling , meta analysis , econometrics , correlation , variables , multivariate statistics , computer science , indirect effect , psychology , statistics , mathematics , machine learning , medicine , mathematical analysis , geometry , mathematical economics , political science , law

A mediator is a variable that explains the underlying mechanism between an independent variable and a dependent variable. The indirect effect indicates the effect from the predictor to the outcome variable via the mediator. In contrast, the direct effect represents the predictor's effort on the outcome variable after controlling for the mediator.

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