An Automatic Suite for Estimation of Various Effect Size Measures

Automatically estimate 14 effect size measures from a well-formatted dataset, including Cohen's d, Hedges' g, mean difference, odds ratio, risk ratio, incidence rate ratio, risk difference, number needed to treat, Pearson correlation, Fisher's z, Cronbach's alpha, intraclass correlation coefficient, and single-group proportion. Provides a two-tier quality-flag diagnostic system for input validation and post-computation plausibility checks, missing-data guidance that tells users which columns would unlock additional estimators, post-hoc correction for attenuation due to measurement error, and standalone psychometric utilities (standard error of measurement, smallest detectable change, change-score reliability). Various other functions can help, for example, removing dependency between several effect sizes, or identifying differences between two datasets. This package is mainly designed to assist in conducting a systematic review with a meta-analysis but can be useful to any researcher interested in estimating an effect size.

metaConvert

Important

If you are not familiar with R, you can access the core features of this package on your web browser on its dedicated website (https://metaConvert.org/).

Introduction

This package automatically estimates 14 effect size measures from a well-formatted dataset. It is also the official implementation of the metaDETECT framework, that aims to limit the errors in data extraction and effect size computation for meta-analyses. Various other functions can help, for example, removing dependency between several effect sizes, or identifying differences between two datasets.

This package is mainly designed to assist in conducting a systematic review with a meta-analysis but can be useful to any researcher interested in estimating an effect size.

Installation

You can install the released version of metaConvert from CRAN with:

install.packages("metaConvert")

Citation

The metaConvert package was written by Corentin J Gosling, Samuele Cortese, Marco Solmi, Belen Haza, Eduard Vieta, Richard Delorme, Paolo Fusar-Poli and Joaquim Radua. It is licensed under the GNU General Public License.
You can use metaConvert for free… but please cite our work ;-)

Citation: Gosling CJ, Cortese S, Solmi M, et al. metaConvert: an automatic suite for estimation of 11 different effect size measures and flexible conversion across them. Research Synthesis Methods. Published online 2025:1-12. doi:10.1017/rsm.2025.11

To obtain a bibtex version of this citation in R, type

citation(package = "metaConvert")