2002
DOI: 10.1037/0021-9010.87.2.377
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Comparison of two random-effects methods of meta-analysis.

Abstract: Two studies compared the Schmidt-Hunter method of meta-analysis (J. E. Hunter & F. L. Schmidt, 1990) with the method described by L. V. Hedges and J. L. Vevea (1998). Study 1 evaluated estimates of rho, sigmarho, and resulting credibility intervals for both models through Monte Carlo methods. Results showed slight differences between the 2 methods. In Study 2, a reanalysis of published meta-analyses using both methods with several artifact distributions showed that although both choice of technique and type of… Show more

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Cited by 103 publications
(127 citation statements)
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References 37 publications
(83 reference statements)
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“…As such the Hunter and Schmidt method is preferable to alternative approaches such as the fixed-effects Hedges and Olkin (1985) method that explicitly assumes that all variation in observed effect sizes is a function of study artifacts rather than possibly reflecting substantive variation across samples, and hence assumes that SD ρ is equal to zero. The Hunter and Schmidt method is also preferable to the random-effects Hedges and Olkin method in that it does not convert correlations to Fisher's z; a method that attempts to eliminate the negative bias inherent in the use of sample correlations but that has been shown to result in an even larger positive bias (Field 2001;Hall and Brannick 2002). That is, the bias produced by the Hunter and Schmidt method is negligibly negative and substantially smaller than the positive bias produced by alternate methods.…”
Section: Analytic Proceduresmentioning
confidence: 91%
“…As such the Hunter and Schmidt method is preferable to alternative approaches such as the fixed-effects Hedges and Olkin (1985) method that explicitly assumes that all variation in observed effect sizes is a function of study artifacts rather than possibly reflecting substantive variation across samples, and hence assumes that SD ρ is equal to zero. The Hunter and Schmidt method is also preferable to the random-effects Hedges and Olkin method in that it does not convert correlations to Fisher's z; a method that attempts to eliminate the negative bias inherent in the use of sample correlations but that has been shown to result in an even larger positive bias (Field 2001;Hall and Brannick 2002). That is, the bias produced by the Hunter and Schmidt method is negligibly negative and substantially smaller than the positive bias produced by alternate methods.…”
Section: Analytic Proceduresmentioning
confidence: 91%
“…Next, the distribution of r pb was corrected for sampling error to get r c . Note that the correction was done using frequency-weighted average, not Fisher's z transformation, since the latter has been shown to produce upwardly biased correlation estimates (Hall and Brannick 2002). Finally, standard deviations of the corrected observed correlation were calculated to compute 99% confidence intervals around r c .…”
Section: Computation and Analysis Of Effect Sizesmentioning
confidence: 99%
“…To calculate the true mean effect size, which represents the true effects of the autonomysupportive interventions, the researchers adopted the meta-analysis method in Hunter and Schmidt (2004) because this approach has been recommended following comparative analysis of the various meta-analytic approaches (Hall and Brannick 2002;Schulze 2004) and because it is the only procedure that corrects not only for sampling error but also for measurement error (Schmidt 2010). Moreover, the random effect method was preferred because it assumes that the population parameter may be different from study to study and allows for any possible value of SD d , rather than the fixed effect model which assumes homogeneity of effect parameters (Hedges and Vevea 1998;Hunter and Schmidt 2004) that could result both in a higher type I error and in narrower confidence intervals (Hunter and Schmidt 2000).…”
Section: Effect Size Calculationsmentioning
confidence: 99%