Dear colleagues,
We would like to remind you that places are still available for the GESIS Spring Seminar 2026. We would greatly appreciate it if you could share this information with students, post-docs, and researchers who may be interested in advanced training in quantitative data analysis.
The Spring Seminar is renowned for its high-quality training, combining state-of-the-art techniques with hands-on exercises led by leading experts in the field. In 2026, the focus will be on Advanced Regression Modeling, reflecting the latest advancements in social science research methodology.
The Spring Seminar 2026 will take place both online and at GESIS Cologne, Germany, from 9 to 27 March 2026.
Detailed course descriptions and registration information can be found
here: https://t1p.de/spring2026
Program:
Week 1 (09–13 March) [fully booked – waiting list available]
Advanced Problems in Multilevel and Longitudinal Modeling
George Leckie (University of Bristol)
Week 2 (16–20 March)
Advanced Modeling of Categorical Dependent Variables
Maria Kateri (RWTH Aachen University), Irini Moustaki (London School of
Economics and Political Science)
Week 3 (23–27 March)
Advanced Problems in Structural Equation Modeling
Suzanne Jak (University of Amsterdam), Terrence Jorgensen (University of
Amsterdam)
Courses must be booked separately—whether you wish to attend one, two, or all three. There is no registration deadline, but places are limited and allocated on a first-come, first-served basis. Thanks to our cooperation with CGS Cologne you can obtain three ECTS credit points per one-week course. More information is available at https://www.gesis.org/en/gesis-training/what-we-offer/spring-seminar-cutting-edge-methods/ects-credits
For detailed information on the Spring Seminar 2026, please visit
https://www.gesis.org/springseminar
Related GESIS Workshops you might be interested in:
04–06 March 2026: Introduction to Structural Equation Modeling >
https://t1p.de/Intro-SEM26
16–17 & 23–24 April 2026: Bayesian Modelling: From Foundations to
Custom Solutions > https://t1p.de/bayesian-modelling-2026
06–07 October 2026: Propensity Score Matching: Computation and Balance
Estimation for two and more groups in R >
https://t1p.de/propensity_score_matching
For the complete list of Workshops, please visit
https://www.gesis.org/workshops
Thank you for helping us reach potential participants and making this
year’s seminar a success!
Best wishes,
Your GESIS Training team
