Due to the COVID-19 pandemic, this year’s workshop will take place 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.
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.
You can contact us at firstname.lastname@example.org.