Webinar: Theory and Practice of Bayesian Inference Using JASP
In June, 2019, three JASP team members (Alexander Etz, Julia Haaf, and Johnny van Doorn) taught a webinar on Bayesian inference for The Society for Personality and Social Psychology. The webinar provides a gentle introduction to Bayesian statistics and demonstrates how to perform Bayesian analyses using JASP. The video is structured as follows:
Bayesian basics
Bayesian hypothesis testing and the t-test
Bayesian (RM) ANOVA
No background in Bayesian statistics is required. The slides and example data sets can be found on the corresponding OSF repository: https://osf.io/9nwep/
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About the authors
Johnny van Doorn
Johnny van Doorn is a PhD candidate at the Psychological Methods department of the University of Amsterdam. At JASP, he is responsible for Bayesian nonparametric analyses.
Alexander Etz
Alexander Etz is a PhD student in the department of cognitive sciences at the University of California, Irvine.
Julia Haaf
Julia Haaf is postdoc at the Psychological Methods Group at the University of Amsterdam.
About the authors
Alexander Etz
Alexander Etz is a PhD student in the department of cognitive sciences at the University of California, Irvine.
Johnny van Doorn
Johnny van Doorn is a PhD candidate at the Psychological Methods department of the University of Amsterdam. At JASP, he is responsible for Bayesian nonparametric analyses.
Julia Haaf
Julia Haaf is postdoc at the Psychological Methods Group at the University of Amsterdam.
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