Research Synthesis Methods· 2026Q1· Review
Meta-analysis with JASP, Part I: Classical approaches
- 2citations
- Q1SCImago
- 2026year
Short summary
The Meta-Analysis module in JASP, a free statistical software, now offers standard and advanced meta-analytic techniques via a graphical user interface, lowering the barrier for researchers without programming expertise.
AI-generated from the title and abstract; the full text is not read.
Key points
- JASP's new Meta-Analysis module provides access to advanced meta-analytic techniques.
- The module features a user-friendly graphical interface, reducing reliance on programming skills.
- This aims to democratize meta-analysis for researchers with diverse technical backgrounds.
- The module supports rigorous, relevant, and reproducible meta-analytic practices.
AI-generated from the title and abstract; the full text is not read.
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, 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. Tutorial videos accompany the examples presented in this manuscript.
The authors' abstract, as published at the source. Research Synthesis Methods, 2026 · DOI ↗
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Statistics, Probability and UncertaintyDecision Sciences