48th GESIS Spring Seminar 2019
The GESIS Spring Seminar comprises three training courses for social scientists interested in advanced methods of quantitative data analysis. Lectures in each course are complemented by hands-on exercises giving participants the opportunity to apply these methods to data. For 2019, the GESIS Spring Seminar will focus 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, Netherlands
Dr. Milica Miočević, Utrecht University, Netherlands
Week 3 (March 25 – 29): Bayesian Multilevel Modelling
Dr. Mark Andrews, Nottingham Trent University, United Kingdom
The courses can be booked either separately or as a block. There is no registration deadline, but places are limited and allocated on a first-come, first-served basis. To secure a place in the course(s) of your choice, we strongly recommend that you register early. Thanks to the cooperation with the Cologne Graduate School in Management, Economics and Social Sciences at the University of Cologne, doctoral students can obtain 3 ECTS credit points per one-week course.
For registration, please visit the website and sign up here!