README.md

MetaInd

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!

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.


qcsong/MetaIO documentation built on May 26, 2019, 11:35 a.m.