Liebe Kolleg*innen in der DGS-Methodensektion, unten der Hinweis auf einige freie Plätze in zwei von drei Kursen im diesjährigen GESIS Spring Seminar zu "Advanced Regression Modeling". Kursteilnahme vor Ort in Köln oder online via Zoom. Viele Grüße Sebastian ***Apologies for cross-posting*** Dear colleagues, We wanted to let you know that there are still spots 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 well-known 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 in person 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 partnership 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.... For detailed information on the Spring Seminar 2026, please visit https://www.gesis.org/springseminar. Related GESIS Workshops in 2026 you might be interested in: * 04-06 March: Introduction to Structural Equation Modeling > https://t1p.de/Intro-SEM26 * 16-17 & 23-24 April: Bayesian Modelling: From Foundations to Custom Solutions > https://t1p.de/bayesian-modelling-2026 * 06-07 October: 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 -- GESIS - Leibniz Institute for the Social Sciences email: training@gesis.org<mailto:training@gesis.org> web: https://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@01DC913A.EBAF7EF0]<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:image005.png@01DC913A.EBAF7EF0] <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:image010.png@01DC913A.EBAF7EF0] <https://sciences.social/@GESIS> You can find our information on data protection at https://www.gesis.org/en/institute/data-protection