MetaInd

R Package for Conducting Meta-Analysis with Individual Correction of Reliability and Range Restriction
Developer: Chelsea Song
Contact: [email protected]
Last Update: 01/24/2017
Current version is beta version, please forward any questions or suggestions to [email protected]. Thanks!

Objective

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)
   

Instructions

1. Open an R console or RStudio window. (R can be downloaded for free from https://cran.r-project.org; RStudio can be downloaded for free from https://www.rstudio.com/)
2. Install R package "ParetoR" through Github by pasting and running the following commands in R console or RStudio: install.packages("devtools")
   library("devtools")
   install_github("qcsong/MetaInd")
   library("MetaInd")
   
3. Import meta-analytic data. See dataset "ABHt32" for example:
   data("ABHt32")
   
4. Obtain meta-analytic results in a summary table using function "MetaSummary". Example below:
   MetaSummary(ABHt32)
   You may specify artifact correction through MetaSummary function options. Type following code for more details. help("MetaSummary")

Output Description

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

Citation

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

Note

Package dependency: psychometric package

References

1. Schmidt, F. L., & Hunter, J. E. (2014). Methods of meta-analysis: Correcting error and bias in research findings. Sage publications.
2. Hunter, J. E., Schmidt, F. L., & Le, H. (2006). Implications of direct and indirect range restriction for meta-analysis methods and findings. Journal of Applied Psychology, 91(3), 594.