The JASP Team is excited to announce that registration for our annual two-day Amsterdam workshop is now open. The fourth installment of this workshop takes place on August 22-23, 2019.
In this two-day workshop, plenary lectures provide the theoretical background of Bayesian statistics and Bayesian hypothesis testing; in addition, practical exercises demonstrate how the JASP program is applied to to a wide range of common statistical scenarios. This workshop provides an appreciation for the theoretical foundations that underlie Bayesian hypothesis testing, but its main goal is to teach participants the practical skills needed in order to execute and report Bayesian analyses for the models that form the bread-and-butter of statistical inference: t-tests, correlations, regression, ANOVA, and contingency tables.
This workshop will provide attendees with a friendly, gentle introduction to the theory behind Bayesian hypothesis testing and is therefore suited for everyone new to Bayesian inference. The possibilities of practical Bayesian hypothesis testing using JASP will be illustrated with concrete examples. At the end of this workshop, participants should be able to carry out statistical analyses in JASP, interpret the output, and report the results. Our examples are general and the proposed methodology applies across the empirical disciplines (e.g., psychology, sociology, biology, economics, etc.).
The workshop is taught by Eric-Jan Wagenmakers and Richard Morey, with assistance from Dora Matzke, Alexander Ly, Johnny van Doorn, Quentin Gronau, Don van den Bergh and Alexandra Sarafoglou.
More details about the workshop can be found here.
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