Since 2018 the first year bachelorstudents of the Faculty of Social and Behavioral Sciences of Utrecht University learn to work with JASP and how to (Bayesianly) evaluate hypotheses using JASP. The course is tailored to lecturers and researchers who want to learn what the bachelor students of FSBS learn about JASP and (Bayesian) hypotheses evaluation (and a little bit more). This course is applied, hands-on, and build around concepts and not formulas.
Since 2018 the bachelor students of the Faculty of Social and Behavioral Sciences of Utrecht University learn about hypothesis evaluation using the Bayes factor as an alternative for null-hypothesis significance testing. They will learn that in addition to the traditional null and alternative hypotheses (e.g. H0: m1=m2=m3 and Ha: not H0, where the m’s denote group means) there are also, so-called, informative hypotheses like, for example, m1 > m2 > m3. Additionally, they will learn that these hypotheses can be evaluated using the Bayes factor and they will learn how to do this using the implementation of the software package bain https://informative-hypotheses.sites.uu.nl/software/bain/ in JASP jasp-stats.org.
During this short course employees of the Faculty of Social and Behavioral Sciences will be introduced to hypothesis evaluation using the Bayes factor and GORIC using JASP. This course is tailored to lecturers and researchers who want to understand this approach and/or apply it for the analysis of their own data. The course is built around concepts and examples, formulas will not make an appearance. It will be elaborated upon what the Bayes factor and goric are, how they can be applied and how they should be interpreted. There will be attention for updating (an alternative for power analysis), Bayesian (conditional) error probabilities, and limitations of the approach.
Participants should prepare by downloading the course materials (including one or two tutorial papers) from the very bottom of the Bain website at https://informative-hypotheses.sites.uu.nl/software/bain/ under Summer School Jasp Hypotheses Evaluation. Participants have to bring a laptop with the latest version of JASP installed (https://jasp-stats.org/). Alternatively you can also use Rstudio, and R, and in that case install the bain and goric package before coming to the course.
Please note that there are no graded activities included in this course. Therefore, we are not able to provide participants with a transcript of grades.
- Prof. dr. Herbert Hoijtink
- Dr. Rebecca Kuiper
Lecturers and researchers working at a university
For an overview of all our summer school courses offered by the Department of Methodology and Statistics please click here.
Aim of the course
Introduction to JASP and (Bayesian) hypotheses evaluation
This course is free of charge for employees of the Faculty Social Sciences of Utrecht University (FSS-UU). Please mention in your application if you are a FSS-UU employee so that we can waive the fee.
Irma Reyersen | E: email@example.com