Liebe Kolleg*innen in der Methodensektion, wir freuen uns, Euch und Ihnen hiermit das Programm des GESIS Spring Seminar 2026 zukommen lassen zu können. Die Ankündigung und alle relevanten Infos zu den einzelnen Kursen und zur Registrierung finden sich unten bzw. auf den unten verlinkten Websites. Viele Grüße aus dem Rheinland, Sebastian ***Apologies for cross-posting*** Dear colleagues, We are delighted to announce the program of the GESIS Spring Seminar 2026! The Spring Seminar is renowned for providing high-quality training in state-of-the-art techniques in quantitative data analysis taught by leading experts in the field. Each year, we select a topic that reflects the latest advancements and innovations in social science research methodology. The Spring Seminar is designed for advanced graduate or PhD students, post-docs, and senior researchers. In 2026, our focus will be on Advanced Regression Modeling. Extensive hands-on exercises and tutorials complement the lectures in each course. The Spring Seminar 2026 will take place both online and at GESIS Cologne, Germany, from 9 to 27 March 2026. For registration and detailed course descriptions, please visit https://t1p.de/spring2026. Program: Week 1 (09–13 March) Advanced Problems in Multilevel and Longitudinal Modeling<https://t1p.de/spring26-week1%20%20> George Leckie (University of Bristol) Week 2 (16–20 March) Advanced Modeling of Categorical Dependent Variables<https://t1p.de/spring26-week2> 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<https://t1p.de/spring26-week3> 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 the Cologne Graduate School in Management, Economics, and Social Sciences at the University of Cologne<https://cgs.uni-koeln.de/en/> you can obtain three ECTS credit points per one-week course. More information is available here<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 www.gesis.org/springseminar<http://www.gesis.org/springseminar>. Related GESIS Workshops you might be interested in: 23 – 24 Feb 2026: Fundamentals and Advanced Topics in Modeling Interaction Effects<https://t1p.de/interaction-effects-2026> 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> For the complete list of Workshops, please visit www.gesis.org/workshops<http://www.gesis.org/workshops>. We would appreciate it if you could forward this announcement to other potentially interested parties. Thank you, and best wishes, Your GESIS Training team --- GESIS – Leibniz Institute for the Social Sciences email: training@gesis.org<mailto:training@gesis.org> web: www.gesis.org/training<http://www.gesis.org/training> Training on Social Media: Bluesky: https://bsky.app/profile/gesistraining.bsky.social Facebook: https://www.facebook.com/GESISTraining LinkedIn: https://www.linkedin.com/company/gesistraining Sebastian E. Wenz (he/him) Senior Researcher KEO | Training [cid:image002.jpg@01DC4CE3.023B7350]<http://www.gesis.org/> Unter Sachsenhausen 6-8 | 50667 Köln +49 (0) 221 47694-159 sebastian.wenz@gesis.org<mailto:sebastian.wenz@gesis.org> www.gesis.org<https://www.gesis.org/> [Ein Bild, das Symbol, Logo, Schrift, Grafiken enthält. Automatisch generierte Beschreibung]<https://www.facebook.com/gesis.org/> [cid:image004.png@01DC4CE3.023B7350] <https://bsky.app/profile/gesis.org> [Ein Bild, das Logo, Grafiken, Kreis, Screenshot enthält. Automatisch generierte Beschreibung] <https://www.linkedin.com/company/gesis-org> [Ein Bild, das Kreis, Grafiken, Design enthält. Automatisch generierte Beschreibung] <https://www.instagram.com/gesis_lifs/> [Ein Bild, das Schrift, Grafiken, Logo, Text enthält. Automatisch generierte Beschreibung] <https://www.youtube.com/user/GESIStv> [Ein Bild, das Grafiken, Kreis, Symbol, Logo enthält. Automatisch generierte Beschreibung] <https://blog.gesis.org/> [cid:image009.png@01DC4CE3.023B7350] <https://sciences.social/@GESIS> You can find our information on data protection at https://www.gesis.org/en/institute/data-protection