Meta-analyzing dependent correlations: An SPSS macro and an R script

The presence of dependent correlation is a common problem in meta-analysis. Cheung and Chan ( 2004 , 2008 ) have shown that samplewise-adjusted procedures perform better than the more commonly adopted simple within-sample mean procedures. However, samplewise-adjusted procedures have rarely been appl...

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Bibliographic Details
Published in:Behavior research methods 2014-06, Vol.46 (2), p.331-345
Main Authors: Cheung, Shu Fai, Chan, Darius K.-S.
Format: Article
Language:English
Subjects:
Behavioral Science and Psychology
Cognitive Psychology
Computer Simulation
Confidence Intervals
Evidence-Based Practice
Medical research
Meta-analysis
Meta-Analysis as Topic
Models, Statistical
Psychology
Research Design
Reviews
Sample Size
Sample variance
Software
Studies
Systematic review
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Summary:The presence of dependent correlation is a common problem in meta-analysis. Cheung and Chan ( 2004 , 2008 ) have shown that samplewise-adjusted procedures perform better than the more commonly adopted simple within-sample mean procedures. However, samplewise-adjusted procedures have rarely been applied in meta-analytic reviews, probably due to the lack of suitable ready-to-use programs. In this article, we compare the samplewise-adjusted procedures with existing procedures to handle dependent effect sizes, and present the samplewise-adjusted procedures in a way that will make them more accessible to researchers conducting meta-analysis. We also introduce two tools, an SPSS macro and an R script, that researchers can apply to their meta-analyses; these tools are compatible with existing meta-analysis software packages.
ISSN:1554-3528
1554-351X
1554-3528
DOI:10.3758/s13428-013-0386-2