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Abstract
Over the past four decades, psychometric meta-analysis (PMA) has emerged a key way that psychological disciplines build cumulative scientific knowledge. Despite the importance and popularity of PMA, software implementing the method has tended to be closed-source, inflexible, limited in terms of the psychometric corrections available, cumbersome to use for complex analyses, and/or costly. To overcome these limitations, we created the psychmeta R package: a free, open-source, comprehensive program for PMA.
References
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Dahlke, J. A., Wiernik, B. M. (2018). psychmeta: Psychometric meta-analysis toolkit (Original version released 2017) [R package]. Retrieved from https://cran.r-project.org/package=psychmeta Google Scholar | |
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R Core Team . (2017). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Available from http://www.r-project.org/ Google Scholar | |
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Schmidt, F. L., Hunter, J. E. (2015). Methods of meta-analysis: Correcting error and bias in research findings (3rd ed.). Thousand Oaks, CA: SAGE. doi:10/b6mg Google Scholar | Crossref |
