Synthesizing Indirect Effects in Mediation Models With Meta-Analytic Methods.
Aims 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...
| Publicado en: | Alcohol & Alcoholism Vol. 57; no. 1; pp. 5 - 16 |
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| Autor principal: | |
| Formato: | equations & formulas tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Jan2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=155386651&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 155386651 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07350414 FA3 jtl: Alcohol & Alcoholism issn: 07350414 maglogo: N pubinfo: dt: Jan2022 vid: 57 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 155386651 155386651 155386651 10.1093/alcalc/agab044 155386651 ppf: 5 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Synthesizing Indirect Effects in Mediation Models With Meta-Analytic Methods. aug: au: Cheung, Mike W-L affil: Department of Psychology , National University of Singapore , Singapore 117570 sug: subj: Research Personnel Education Research, Medical Effect Size Meta Analysis Mediation Analysis Structural Equation Modeling Research Question Software ab: Aims 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. Methods A single study rarely provides enough evidence to answer research questions in a particular domain. Replications are generally recommended as the gold standard to conduct scientific research. When a sufficient number of studies have been conducted addressing similar research questions, a meta-analysis can be used to synthesize those studies' findings. Results The main objective of this paper is to introduce two frameworks to integrating studies using mediation analysis. The first framework involves calculating standardized indirect effects and direct effects and conducting a multivariate meta-analysis on those effect sizes. The second one uses meta-analytic structural equation modeling to synthesize correlation matrices and fit mediation models on the average correlation matrix. We illustrate these procedures on a real dataset using the R statistical platform. Conclusion This paper closes with some further directions for future studies. pubtype: Academic Journal doctype: equations & formulas tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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