Multilevel analysis workshop

8 et 9 juin 2026, 9h-18h

Dr Nayla Sokhn, UNIFR

Understanding human behaviours often requires considering multiple factors, some of which relate to the individuals themselves and others to their environment. Understanding this complexity can be done through single case studies (individual level) or through sample studies (group or aggregate level). Each approach has its advantages and limitations, and being able to reconcile the two, for example by considering that the sample is a collection or an aggregation of individual cases, allows for a certain enrichment of the modelling.

This is precisely what multilevel analysis aims to achieve, and it has become the standard technique for reporting on individual data (e.g. longitudinal data, but not only) collected from samples of people. The aim of the workshop is to provide a theoretical and applied introduction to multilevel modelling, including the underlying statistical computations and the interpretation of the results.

Participants will run several models on several real datasets using R and will have the opportunity to work on their own data and apply the concepts and methods covered to their current research.

Participants don't really need to know R, as Dr Nayla Sokhn will go through them with the code.

UNIFR, bâtiment Miséricorde 02 (MIS 02), salle 2120

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