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Identification of Real and Artifactual Moderators of Effect Size in Meta-Analysis

Bibliographic Data

ID19290577
AuthorsMark Collins (0000-0003-0757-7796, University of Canberra), Timothy A Carey (0000-0003-2882-1508, Centre for Remote Health, corresponding author)
Year2015
Volume50
Issue1
Pages109-125
Publication date2015-01-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMultivariate Behavioral Research (JOURNAL)
Journal identifiersISSN: 0027-3171 • E-ISSN: 1532-7906
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00273171.2014.963193
PMID26609746
OpenAlexW1991886460
LanguageEN
References cited53

This article argues that while meta-analytic studies are widely used in psychological literature, heterogeneity and the potential for confounding remain major problems in the interpretation of meta-analytic study results. The article demonstrates the use of exploratory analysis including graphical methods prior to meta-analysis, and introduces a methodology to screen for artifactual effects. These procedures are illustrated on effect size data comparing depression treatment outcome from psychotherapy versus pharmacotherapy. Results support prior findings of a nonsignificant difference in effect size between the two treatments. They also support findings that treatment type accounts for only a very small proportion of outcome variance. However, the results indicate that some previously reported covariates of depression treatment outcome may be artifactual

Confounding · Covariate · Meta-analysis · Outcome (game theory) · Psychotherapist · Statistics · Clinical Psychology · Internal Medicine · Mathematics · Medicine · Mental Health Research Topics · Meta-analysis and systematic reviews · Psychology · Treatment of Major Depression

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