R Package for Conducting Meta-Analysis with Individual Correction of Reliability and Range Restriction Developer: Chelsea Song Contact: qianqisong@gmail.com Last Update: 01/24/2017 Current version is beta version, please forward any questions or suggestions to qianqisong@gmail.com. Thanks!
The current R package provides meta-analytic estimates using Hunter and Schmidt (2014) method with independent correction for each individual effect size. Users can specify meta-analytic corrections for 1. Reliability of independent variable 2. Reliability of dependent variable 3. Direct and indirect range restriction (Hunter, Schmidty, & Le, 2006)
Summary table of meta-analytic results, consisting of: n - sample size k - number of studies rbar - sample size-weighted average effect size Var.rbar - variance of sample size-weighted average effect size estimate VarSE.rbar - variance due to sampling error of average effect size estimate PerVarExp.rbar - percent variance explained by sampling error for average effect size estimate LCL95.rbar - lower boundary of 95% confidence interval of average effect size estimate UCL95.rbar - upper boundary of 95% confidence interval of average effect size estimate rho - corrected meta-analytic effect size estimate Var.rho - variance of corrected meta-analytic effect size estimate VarSE.rho - variance due to sampling error of corrected effect size estimate PerVarExp.rho - percent variance expained by sampling error for corrected effect size estimate LCL95.rho - lower boundary of 95% confidence interval of corrected effect size estimate UCL95.rho - upper boundary of 95% confidence interval of average effect size LCV80 - lower boundary of 80% credibility interval UCV80 - upper boundary of 80% credibility interval
If you use the package for publication, please refer to it using the following citation: Song, Q. C. (2017). MetaInd: An R Package for Conducting Meta-Analysis with Individual Correction of Reliability and Range Restriction. URL: https://github.com/qcsong/MetaInd
Package dependency: psychometric package
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