Julia Müller: Mixed-effects models & Model building and reporting (Data analysis in R: DH Lab Workshop Series)
| Lecturer(s) | Julia Müller |
| Contact person | Julia Müller |
| julia.mueller@anglistik.uni-freiburg.de | |
| Date | Friday, 6th February 2026, 13:00 - 17:00 |
| Location | R1026, KG I, Platz der Universität 3 79098 Freiburg Germany |
| Save this event | iCal |
Data analysis in R – A comprehensive introduction for the humanities and social sciences
Statistics (2): Mixed-effects models & Model building and reporting
Julia Müller
This final session covers advanced mixed-effects (i.e., multilevel) regression models which are state-of-the-art analyses methods for data with dependent observations (such as several data points per participant or experimental item). These models can help us see the effect of the predictor(s) more clearly by accounting for unpredictable individual-level and/or item-level variation. We’ll also discuss generalised mixed-effects models and conclude the workshop series with a critical look at different model-building approaches and common pitfalls in model interpretation.
More Information can be found here.