The Spring Seminar offers high quality training in state-of-the-art techniques in quantitative data analysis taught by leading experts in the field. The Spring Seminar covers a different topic each year, picking up on recent developments and innovations in social science research methodology.
The Spring Seminar will
- provide you with in-depth knowledge of state-of-the-art quantitative research methods in the social sciences
- enable you to apply state-of-the-art quantitative analysis techniques to your own research projects
- provide you with the opportunity to discuss your research with interested colleagues and leading experts
- provide you with good networking opportunities, a supportive social environment, and (when it is taking place on-site again) an exciting time in Cologne
The Spring Seminar is targeted at advanced graduate or PhD students, post-docs, junior and senior researchers who are interested in developing and improving their knowledge and skills in state-of-the-art techniques in quantitative data analysis. Lectures in each course are complemented by hands-on exercises giving participants the opportunity to apply these methods to data. All courses are held in English.
Week 1 (09–13 March): 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)
