Meta-Analysis with JASP, Part I: Classical Approaches
Abstract
Meta-analyses play a crucial part in empirical science, enabling researchers to synthesize evidence across studies and draw more precise and generalizable conclusions. Despite their importance, access to advanced meta-analytic methodology is often limited to scientists and students with considerable expertise in computer programming. To lower the barrier for adoption, we have developed the Meta-Analysis module in JASP (https://jasp-stats.org/), a free and open-source software for statistical analyses. The module offers standard and advanced meta-analytic techniques through an easy-to-use graphical user interface (GUI), allowing researchers with diverse technical backgrounds to conduct state-of-the-art analyses. This manuscript presents an overview of the meta-analytic tools implemented in the module and showcases how JASP supports a meta-analytic practice that is rigorous, relevant, and reproducible.
Cite
@article{arxiv.2509.09845,
title = {Meta-Analysis with JASP, Part I: Classical Approaches},
author = {František Bartoš and Eric-Jan Wagenmakers and Wolfgang Viechtbauer},
journal= {arXiv preprint arXiv:2509.09845},
year = {2025}
}