publication . Article . Other literature type . 2005

Is the meta-analysis of correlation coefficients accurate when population correlations vary?

Field, Andy P.;
Open Access
  • Published: 01 Dec 2005 Journal: Psychological Methods, volume 10, pages 444-467 (issn: 1082-989X, eissn: 1939-1463, Copyright policy)
  • Publisher: American Psychological Association (APA)
  • Country: United Kingdom
Abstract
One conceptualization of meta-analysis is that studies within the meta-analysis are sampled from populations with mean effect sizes that vary (random-effects models). The consequences of not applying such models and the comparison of different methods have been hotly debated. A Monte Carlo study compared the efficacy of Hedges and Vevea's random-effects methods of meta-analysis with Hunter and Schmidt's, over a wide range of conditions, as the variability in population correlations increases. (a) The Hunter-Schmidt method produced estimates of the average correlation with the least error, although estimates from both methods were very accurate; (b) confidence in...
Subjects
free text keywords: Psychology (miscellaneous), Mathematics, Random effects model, Reliability (statistics), Statistics, Correlation coefficient, Monte Carlo method, Meta-analysis, Econometrics, Population, education.field_of_study, education, Confidence interval, Correlation, HA, BF
Related Organizations
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue