Dear colleagues,

 

 If a “new method” is on your 2026 wish list, consider us your Santa – we wrapped up a series of courses on methods for modeling social change, ready to be placed under your academic tree:

 

• 27. - 28.01. Causal Models for Qualitative and Mixed Methods Research (Cologne): Inspired by the eponymous book and focused on, among others, causal and Bayesian inference for process tracing and for combining diverse data sources and methods.
• 03. - 04.02. Foundations and Advances in Difference-in-Differences (Online): Core DiD concepts plus the “next‑level” toolkit, including triple differences, synthetic control, and recent robustness tricks.
• 04. - 06.03. Introduction to Structural Equation Modeling (Online): A step‑by‑step guide through latent variable analysis, measurement invariance, and the first steps into longitudinal SEM.
• 09. - 13.03. Advanced Problems in Multilevel and Longitudinal Modeling (Hybrid): Growth‑curve models, three‑level hierarchies, multilevel logistic regression, and more.
• 16. - 17.04. & 23. - 24.04. Event History Analysis (Online): (Semi‑)parametric models, time‑dependent covariates, competing‑risk analysis, and other techniques for following events over time.
• 08. - 09.06. Introduction to Longitudinal Data Analysis (Mannheim): A primer on data management and analysis with DiD, panel‑event design, and fixed‑effects regression.

 

For additional details, registration, and our complete course program, visit our website or email alisa.remizova@gesis.org. We would be grateful if you could forward this message to anyone who might benefit.

 

May your 2026 be free of missing data and full of meaningful models!

Your GESIS Training Team

 

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Alisa Remizova

alisa.remizova@gesis.org

 

Postdoc & Scientific Coordinator of GESIS Workshops

GESIS - Leibniz Institute for the Social Sciences

https://training.gesis.org/