Part I
Conceptual foundations
Why dyadic data require dyadic models, followed by visual introductions to the APIM, DIM, DSM, CFM, and exchangeability.
Open conceptual slidesSummer School 2026
Dyadic Data Analysis Workshop
Conceptual foundations, an applied tutorial, and hands-on exercises for analysing interdependent dyadic data with R.
Part II
Applied tutorial
Data preparation, model fitting, interpretation, diagnostics,
and exercises using R and dyadMLM.
Exercises
Hands-on practice
Download both slide decks as PDFs, the editable R Markdown worksheets, setup and support scripts, and the workshop datasets.
Download all workshop materials (.zip)Developed for the 2026 Summer School at Charité – Universitätsmedizin Berlin.