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 last workshop: “Theory and Practice of Bayesian Hypothesis Testing with JASP“. This two-day workshop takes place on Thursday and Friday (July 3rd and 4th) 2025, and can also be attended online.
The main purpose of this workshop is to familiarize participants with key Bayesian concepts in hypothesis testing. Concrete examples illustrate how to compute, report, and interpret Bayesian hypothesis tests for popular statistical models such as correlation, regression, t-test, ANOVA, and contingency tables. To facilitate the learning process we use JASP, a program whose attractive graphical user interface allows us to focus on core Bayesian concepts and principles, unburdened by the need to explain the detailed workings of an unfamiliar software program such as WinBUGS. A preliminary program is available on the workshop website.
At the end of this workshop, participants should be able to carry out statistical analyses in JASP, interpret the output, and report the results. This workshop is relevant to psychologists, economists, biologists, and generally any student or researcher who wishes to draw conclusions from empirical data. No background in Bayesian statistics is required.
Participants should bring a laptop with the latest version of JASP installed. Plenary sessions will be given by Richard D. Morey and Eric-Jan Wagenmakers.
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, Nyenrode Business University, and KU Leuven.
References
- Etz, A., & Vandekerckhove, J. (2017). Introduction to Bayesian Inference for Psychology. Psychonomic Bulletin & Review, 25(1), 5–34. https://doi.org/10.3758/s13423-017-1262-3
- Wagenmakers, E.-J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Love, J., Selker, R., Gronau, Q. F., Šmíra, M., Epskamp, S., Matzke, D., Rouder, J. N., & Morey, R. D. (2017). Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. Psychonomic Bulletin & Review 25(1), 35–57. https://doi.org/10.3758/s13423-017-1343-3
- Wagenmakers, E.-J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Selker, R., Gronau, Q. F., Dropmann, D., Boutin, B., Meerhoff, F., Knight, P., Raj, A., van Kesteren, E.-J., van Doorn, J., Šmíra, M., Epskamp, S., Etz, A., Matzke, D., … Morey, R. D. (2017). Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review 25(1), 58–76. https://doi.org/10.3758/s13423-017-1323-7
- Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009). Bayesian t tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin & Review 16(2), 225–237). https://doi.org/10.3758/pbr.16.2.225
- van Doorn, J., van den Bergh, D., Böhm, U., Dablander, F., Derks, K., Draws, T., Etz, A., Evans, N. J., Gronau, Q. F., Haaf, J. M., Hinne, M., Kucharský, Š., Ly, A., Marsman, M., Matzke, D., Gupta, A. R. K. N., Sarafoglou, A., Stefan, A., Voelkel, J. G., & Wagenmakers, E.-J. (2020). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review, 28(3), 813–826. https://doi.org/10.3758/s13423-020-01798-5
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