Due to the Covid-19 pandemic, the 11th GESIS Summer School in Survey Methodology was organized as a hybrid event: Some courses were held on-site in Cologne and some were held online. It took place from 03-26 August 2022. We enjoyed:
- 243 participants
- 10 one-week courses (6 on-site and 4 online) and 3 short-courses (online)
- the expertise and skills of 30 lecturers and teaching assistants
If you want to receive the latest information about coming GESIS courses, including the Summer School, sign up for our newsletter here.
Week 0 (03-05 August)
Short Course B: Introduction to Stata for Data Management and Analysis (Online) (132 kB)
Lecturers: Katharina Blinzler, Klara Dentler
Week 1 (08-12 August)
Course 1: Introduction to Survey Design (On-site) (117 kB)
Lecturers: Bella Struminskaya, Peter Lugtig
Course 2: Designing, Implementing, and Analyzing Longitudinal Surveys (On-site) (95 kB)
Lecturers:Tarek Al Baghal, Alexandru Cernat
Course 3: Data Science Techniques for Survey Researchers (Online) (135 kB)
Lecturers: Christoph Kern, Malte Schierholz
Course 4: (Non-)Probability Samples in the Social Sciences (Online) (165 kB)
Lecturers: Carina Cornesse, Olga Maslovskaya
Week 2 (15-19 August)
Course 5: Questionnaire Design (On-site) (94 kB)
Lecturers: Marek Fuchs
Course 6: Introduction to R for Data Analysis (Online) (211 kB)
Lecturers: Johannes Breuer, Stefan Jünger, Veronika Batzdorfer
Course 7: Factorial Survey Design (On-site) (139 kB)
Lecturers: Katrin Auspurg, Carsten Sauer, Sabine Düval
Course 8: Design and Implementation of Web Surveys (Online) (92 kB)
Lecturers: Christopher Antoun, Frederick G. Conrad, Florian Keusch
Week 3 (22-26 August)
Short Course C: Sampling and Weighting in Survey Statistics (Online) (99 kB)
Lecturers: Anne Konrad
Short Course D: Mixed-Mode Surveys (Online) (215 kB)
Lecturers: Sven Stadtmüller, Henning Silber, Schmidt
Course 9: Applied Multiple Imputation (On-site) (117 kB)
Lecturers: Ferdinand Geißler, Jan Paul Heisig
Course 10: Collecting and Analyzing Longitudinal Social Network Data (On-site) (97 kB)
Lecturers: Lars Leszczensky, Sebastian Pink