We are happy to announce that the JASP team will offer a week of workshops in Amsterdam this summer. In this blogpost we’ll highlight the second of four workshops: “State-of-the-Art Meta-Analysis using JASP“. This one-day workshop takes place on Tuesday August 25th 2026, and can also be attended online.
The main purpose of this workshop is to equip participants with state-of-the-art meta-analytic techniques using JASP. Through concrete examples and hands-on exercises, participants will learn how to perform advanced meta-analyses, including meta-regression, multivariate/multilevel meta-analyses, and Bayesian publication bias-adjusted meta-analyses. JASP’s intuitive graphical interface allows us to focus on the underlying methodological principles and practical interpretation without getting bogged down in complex coding. Real-world datasets will be used to illustrate how to carry out these analyses, interpret the output, and report the findings accurately. A preliminary program is available on the workshop website.
At the end of this workshop, participants should be able to perform advanced meta-analytic procedures in JASP, interpret the results, and communicate their conclusions. This workshop is ideal for psychologists, economists, biologists, and any researcher or student involved in synthesizing empirical evidence. While a basic understanding of meta-analysis is helpful, no prior experience with advanced techniques or JASP is required.
Participants should bring a laptop with the latest version of JASP installed. Plenary sessions will be given by František Bartoš
NB. A 50% discount is available for students and faculty from JASP “Gold” Educator Institutions. The present list includes the Universiteit van Amsterdam, M&S/Faculty of Social Sciences/Utrecht University, and Nyenrode Business University.
References
- Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2009). Introduction to meta-analysis. John Wiley & Sons.
- Hinne, M., Gronau, Q. F., van den Bergh, D., & Wagenmakers, E. J. (2020). A conceptual introduction to Bayesian model averaging. Advances in Methods and Practices in Psychological Science, 3(2), 200-215.
- Bartoš, F., Maier, M., Wagenmakers, E. J., Nippold, F., Doucouliagos, H., Ioannidis, J. P., … & Stanley, T. D. (2024). Footprint of publication selection bias on meta‐analyses in medicine, environmental sciences, psychology, and economics. Research Synthesis Methods, 15(3), 500-511.
- Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36, 1-48.
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