Post-conference workshop at the 17th Conference of the European Academy of Occupational Health Psychology (EAOHP 2026)
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: Luca Menghini, Assistant Professor of the Department of General Psychology and Human-Inspired Technology Research Centre at the University of Padova
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ILD × OHP: Investigating within-person relationships of stressors & strain
R basics: Warm up & loading data
LMER intro: From linear models to multilevel modelling
HandZone: From data pre-processing to cross-level interactions
LMER advanced: 3-level models, growth curve and cross-lagged models, mediation, GLMER