(Post-)Graduate Support at its Best!

This online workshop will take place von April 14, 2026, from 9 AM to 5 PM under the guidance of Dr. Julien Patrick Irmer. This workshop provides practical strategies for using Large Language Models (LLMs) in quantitative data analysis with R for common questions in educational science. Participants will learn how AI can efficiently support the process from data preparation through modeling to result presentation – always with a “human in the loop.” The focus is on practical prompt engineering, critically evaluating AI-generated suggestions, and integrating AI into existing R workflows. The goal is to enable participants to use AI in a meaningful, safe, and reproducible way for their own research or teaching.

Please register via email to grade-education@dipf.de by March 30, 2026.

The online workshop will take place on April 17, 2026, from 9 AM to 5 PM. The instructor, Dr. Julien Patrick Irmer, offers a practical introduction to structural equation modeling (SEM) using the free software R and the lavaan package. Fundamental regression concepts will be refreshed and extended to include latent variables and measurement errors. All content will be applied to real datasets in R.
Participants should have basic knowledge of regression modeling in R (model fitting, interpretation) as well as fundamental R skills (importing data, installing packages, understanding syntax) and need to bring their own laptop with an up-to-date version of R.

Please register via email to grade-education@dipf.de by March 30, 2026.

The workshop on June 23, 2026, from 9 AM to 5 PM offers a hands-on introduction to advanced structural equation modeling techniques with R and lavaan. Dr. Julien Patrick Irmer will deepen key SEM fundamentals and expand them to more complex, particularly longitudinal, modeling approaches. The workshop will take place online or in person, depending on the participants' needs. Participation in the workshop requires basic knowledge of latent variable modeling with lavaan, specifically model formulation, adjustment, and fit interpretation. Solid R skills are expected. Participants must bring their own laptop with the latest version of R installed. For participants of the introductory workshop "Structural Equation Models in Educational Research: Introduction to Latent Variable Modeling in R," this workshop provides an ideal continuation.

Please register via email to grade-education@dipf.de by June 1, 2026.