rESCMA: A brief summary on effect size conversion for meta-analysis

César Villacura-Herr and Nicolas Kenner
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César Villacura-Herr: Universidad de Talca

No 8np9d, OSF Preprints from Center for Open Science

Abstract: Effect sizes are highly relevant in quantitative research. They facilitate the comparison an quantitative synthesis of scientific studies. The main objective of this report is to present: a) a brief summary of the formulas used for conversion between the three main effect sizes used in the meta-analysis: the correlation coefficient, the standardized mean difference and the odds ratio; and b) the Rapid Effect Size Converter for Meta-Analysis (rESCMA), a open-source and browser-based app for efficiently converting and bulk-converting effect sizes and their variances based on the formulas proposed in this paper. In addition, a table summarizing the formulas is presented for easy accessibility and use.

Date: 2020-09-12
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:8np9d

DOI: 10.31219/osf.io/8np9d

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