Event Description
This workshop can be attended either on-site (in Amsterdam) or 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.
Target audience
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.
We aim to make use of a number of tools to create a smooth, fun, and interactive learning experience. For those participating online, lectures will be held on Zoom, and video recordings will be made available to workshop participants. Moreover, you will be invited to an online workspace where our team will assist you and answer any questions you might have about the materials.
Program
Note that the times below are given in Central European Summer Time (GMT+2). We are trying our best to accommodate everyone’s needs despite the different time zones by offering video recordings and personal support.
Thursday, August 27th
Registration: 09:00 – 09:30
Welcome: 09:30 – 10:00
Class: 10:00 – 11:00
Basic philosophy and introduction to Bayesian inference (Richard Morey)
Break: 11:00 – 11:15
Class: 11:15 – 12:30
Key concepts illustrated with a simple example (EJ Wagenmakers)
Lunch Break (on your own): 12:30 – 14:00
Class: 14:00 – 15:00
Introducing JASP, correlation tests (EJ Wagenmakers)
Break: 15:00 – 15:15
Class: 15:15 – 17:00
Correlation tests (continued) and the AB test (EJ Wagenmakers)
Poster Session: 17:00 – 18:00
Friday, August 28th
Class: 09:30 – 11:00
The Bayesian t-test (Richard Morey)
Break: 11:00 – 11:15
Class: 11:15 – 12:30
Linear Regression (EJ Wagenmakers)
Lunch Break (on your own): 12:30 – 14:00
Class: 14:00 – 15:00
ANOVA (Richard Morey)
Break: 15:00 – 15:15
Class: 15:15 – 16:30
Guidelines on reporting
16:30 – 17:00
Miscellaneous and Q&A (Richard Morey and EJ Wagenmakers)
Fee waiver
We strive to lower barriers to workshop participation based on cost for researchers around the world who may be unable, or have limited ability, to cover the workshop fees. If you lack funding despite exhausting all alternative funding sources and struggle to pay the workshop fees, you may be eligible for a (partial) fee waiver. You can contact us at events@jasp-stats.org.
Information for students
We offer a special discount for students and award a certificate of participation indicating the total number of hours spent on the workshop. Students may inquire with their institution about earning equivalent European Credits (ECs) towards their degree. Participation in this workshop is worth 2 ECs (56 h). In order to be eligible for these ECs, students should prepare for the workshop by reading the following background literature:
Show literature list
- 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
Workshop Location
REC GS.11 (Building G)
Roeterseilandcampus
Nieuwe Achtergracht 129B
Amsterdam (NL)
