(Bayesian) Informative Hypothesis Evaluation (e-learning)

This e-learning course introduces informative hypotheses: a powerful alternative to traditional null and alternative hypotheses. With a strong emphasis on application rather than formulas, the course offers a hands-on learning experience using R and JASP. You will gain practical skills and conceptual understanding to apply these techniques effectively in your own research.

PhD students, (junior) lecturers and researchers working at a university.

For an overview of all our Winter school courses offered by the Department of Methodology and Statistics please click here

After completing this course, you will:

• have a solid understanding of the basics of model selection techniques. be able to:
• think beyond the traditional null-hypothesis framework.
• formulate and evaluate informative hypotheses using JASP and/or R.
• interpret and report the output from these analyses.