Meta-analysis of correlation coefficients: A Monte Carlo comparison of fixed- and random-effects methods.

Field, Andy P (2001) Meta-analysis of correlation coefficients: A Monte Carlo comparison of fixed- and random-effects methods. Psychological Methods, 6 (2). pp. 161-180. ISSN 1082-989X

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Abstract

The efficacy of the Hedges and colleagues, Rosenthal-Rubin, and Hunter-Schmidt methods for combining correlation coefficients was tested for cases in which population effect sizes were both fixed and variable. After a brief tutorial on these meta-analytic methods, the author presents 2 Monte Carlo simulations that compare these methods for cases in which the number of studies in the meta-analysis and the average sample size of studies were varied. In the fixed case the methods produced comparable estimates of the average effect size; however, the Hunter-Schmidt method failed to control the Type I error rate for the associated significance tests. In the variable case, for both the Hedges and colleagues and Hunter-Schmidt methods, Type I error rates were not controlled for meta-analyses including 15 or fewer studies and the probability of detecting small effects was less than .3. Some practical recommendations are made about the use of meta-analysis.

Item Type: Article
Schools and Departments: School of Psychology > Psychology
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Related URLs:
Depositing User: Andy Field
Date Deposited: 29 Jan 2007
Last Modified: 07 Mar 2017 01:21
URI: http://sro.sussex.ac.uk/id/eprint/713
Google Scholar:223 Citations

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