powersim_workshop_2026/README.md

Power simulations

Nora Wickelmaier January, 21-22, 2026

Schedule

Day	Time	Topic	Exercises
Wed	9:00–10:30	Simulation-based power analysis	Binomial test power simulation
	10:45–12:15	Power (curves) for t-tests	Temporal value asymmetry, Directed reading activities
	13:00–14:00	Power for ANOVAs	Testing the interaction in two-by-two ANOVA
Thu	9:00–10:30	Power for baseline/follow-up measurements	Shoulder pain and acupuncture, MASS anorexia data
	10:45–12:15	Introduction to LMMs, Power for longitudinal data analysis	Risperidone vs. haloperidol and schizophrenia
	13:00–14:00	Data simulation for crossed random-effects models	Data simulation for crossed random-effects models, Physical healing

Content

• Power and the significance filter
• Simulation-based power analysis with R
• Drawing power curves
• Power for t-tests, ANOVA, ANCOVA, and mixed-effects models

Prerequisites

• Introductory knowledge of statistics
• Basic knowledge of R

Software

Participants will need to have installed:

• A current R version (https://CRAN.R-project.org/)
• An IDE for R (like RStudio or VSCode) or a text editor with syntax highlighting (like Vim or Notepad++)
• Additional R package:
  • lme4: https://CRAN.R-project.org/package=lme4

Literature

Wickelmaier, F. 2022. “Simulating the Power of Statistical Tests: A Collection of R Examples.” ArXiv. https://doi.org/10.48550/arXiv.2110.09836.