Bayesian Hypothesis Testing Using ROPE
Workshop 14 - Winter Semester 2025-26
Overview
This workshop covers Bayesian hypothesis testing using the Region of Practical Equivalence (ROPE) approach.
Learning Objectives
- Understand ROPE methodology for practical significance
- Estimate effect sizes in factorial designs
- Apply HDI+ROPE decision framework
- Use emmeans and marginaleffects for comparisons
Topics Covered
- Region of Practical Equivalence (ROPE) concept
- Setting defensible ROPE boundaries
- Effect size estimation with emmeans and marginaleffects
- Combining ROPE with effect estimates
- Implementation in R (bayestestR, emmeans, marginaleffects)
Prerequisites
- Basic knowledge of Bayesian statistics
- Familiarity with R programming
- Understanding of hypothesis testing
Materials
- Rendered Tutorial — Interactive HTML notebook with all code and examples
- GitHub Repository — Full workshop materials, source code, and Docker setup
Instructor
Job Schepens
Project S, SFB 1252
University of Cologne
Session Details
Date: 7 January 2026
Time: 14:00 - 15:30
Location: House of Prominence, Attic, Luxemburger Str. 299, Cologne