The GESIS Spring Seminar comprises training courses for social scientists interested in advanced methods of quantitative data analysis. Three one-week courses can be booked either separately or as a block. For 2019, the Spring Seminar focuses on Bayesian Modelling in the Social Sciences.
Week 1 (March 11-15): Introduction to Bayesian Models for the Social Sciences
Prof. Dr. Susumu Shikano, University of Konstanz, Germany
Dr. Taehee Kim, University of Oldenburg, Germany
Week 2 (March 18-22): Bayesian Structural Equation Modelling
Prof. Dr. Rens van de Schoot, Utrecht University, The Netherlands
Dr. Milica Miočević, Utrecht University, The Netherlands
Week 3 (March 25-29): Bayesian Multilevel Modelling
Dr. Mark Andrews, Nottingham Trent University, United Kingdom
For registration as well as details on the individual courses, please visit the according website.