Workshop “Introduction to multilevel modeling with R”

DATE: February 12 & 13, 2026

LANGUAGE: English

DURATION: 9.00 - 17.00

LOCATION: Room "Gerstner" in the ground floor of Science Park 2 (building D1 2)

Abstract
This workshop will provide an introduction to multilevel models (MLM). The main focus will be on repeated measures data (measurement occasions nested in individuals such as panel and experience sampling data). The following topics are planned:

• Data management in R with nested data

• Introduction to the basic idea of MLMs (variance decomposition, predictors, centering, random effects, cross-level interactions)

• MLMs for repeated measures data

• Growth curve models (modelling trajectories over time), including piecewise linear models (modelling transitions such as change before and after a major event or periodic trends), and treatment/condition comparison models

We will be working with the R package lme4. Basic knowledge of R and RStudio and a basic understanding of multiple regression analysis are required.