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.
We aim to make use of a number of tools to create a smooth, fun, and interactive learning experience. Lectures will be held on Zoom, and video recordings will be made available to workshop participants. Moreover, you will be invited to a Slack workspace where our team will assist you and answer any questions you might have about the materials. During the breaks you have the opportunity to socialize using theonline.town.
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 email@example.com.