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.
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The SMiP group is a transregional collaboration of thirteen renowned behavioral researchers from five German universities: Albert-Ludwigs-University Freiburg, Ruprecht-Karls-University Heidelberg, University of Koblenz-Landau at Landau, University of Mannheim, and Eberhard Karls University Tübingen. The SMiP group aims to overcome the gap between innovations in statistical modeling and substantive research in psychology. Projects in the SMiP group therefore combine research topics from a relevant area of psychology with current advances in statistical methods.