Workshop 1: Multilevel modelling with R

The R programming environment offers powerful and open-source tools for modelling hierarchical and repeated-measures data, such as those collected with intensive longitudinal designs (ILD), which are increasingly popular in occupational health psychology research. This workshop provides an accessible introduction to multilevel modelling using R (primarily with the lme4 package), focusing on practical applications involving mobile-based experience sampling methods (ESM) and wearable-derived physiological monitoring. Participants will work with real-world datasets to learn how to structure, model, and interpret repeated observations nested within individuals. The course is particularly suitable for researchers interested in multilevel modelling, intensive longitudinal data and/or ESM and wearable technologies. Participants are requested to bring their laptop with R and RStudio already installed. Participants should have some basic knowledge of linear and multiple regression. Familiarity with R is not strictly required, but recommended. 

Facilitator: Dr Luca Menghini, Assistant Professor of the Department of General Psychology and Human-Inspired Technology Research Centre at the University of Padova.