This website refers to the past summer school of 2023.
Parallel Workshops of the Summer School
- An introduction to cognitive modelling – Chris Donkin (LMU Munich) & Nathan Evans (University of Queensland)
- Multilevel measurement models – Lesa Hoffman (University of Iowa) & Jonathan Templin (University of Iowa)
- Dynamic longitudinal modeling - Manuel Voelkle (Humboldt University Berlin) & Charles Driver (University of Zurich)
- Modeling heterogeneity of response processes in item response theory – Mirka Henninger (University of Zurich), Esther Ulitzsch (IPN Kiel/
University of Mannheim) & Thorsten Meiser (University of Mannheim)
Participants attend one of the workshops throughout the summer school, with a maximum of 15–20 participants per workshop. The workshop topic is selected at the time of registration.
Each workshop of the Summer School will provide an introduction into the dedicated method, practical applications and hands-on exercises, as well as an in-depth overview of advanced topics. Basic familiarity with R is required in all workshops.