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Summer School 2022

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

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Short Course B: Introduction to Stata for Data Management and Analysis (Online) (132 kB) 

  Lecturers: Katharina Blinzler, Klara Dentler 

Course 1: Introduction to Survey Design (On-site) (117 kB)
  Lecturers: Prof. Dr. Bella Struminskaya, Prof. Dr. Peter Lugtig

Course 2: Designing, Implementing, and Analyzing Longitudinal Surveys (On-site) (95 kB) 
   Lecturers: Prof. Dr. Tarek Al Baghal, Prof. Dr. Alexandru Cernat 

Course 3: Data Science Techniques for Survey Researchers (Online) (135 kB)
   Lecturers: Dr. Christoph Kern, Dr. Malte Schierholz 

Course 4: (Non-)Probability Samples in the Social Sciences (Online) (165 kB)
   Lecturers: Dr. Carina Cornesse, Prof. Dr. Olga Maslovskaya

Course 5: Questionnaire Design (On-site) (94 kB)
   Lecturers: Prof. Dr. Marek Fuchs

Course 6: Introduction to R for Data Analysis (Online) (211 kB)
   Lecturers: Dr. Johannes Breuer, Dr. Stefan Jünger, Veronika Batzdorfer

Course 7: Factorial Survey Design (On-site) (139 kB)
   Lecturers: Prof. Dr. Katrin Auspurg, Prof. Dr. Carsten Sauer, Sabine Düval

Course 8: Design and Implementation of Web Surveys (Online) (92 kB)
   Lecturers: Prof. Dr. Christopher Antoun, Prof. Dr. Frederick G. Conrad, Prof. Dr. Florian Keusch

Short Course C: Sampling and Weighting in Survey Statistics (Online) (99 kB)
   Lecturers: Dr. Anne Konrad

Short Course D: Mixed-Mode Surveys (Online) (215 kB)
   Lecturers: Dr. Sven Stadtmüller, Dr. Henning Silber, Prof. em. Dr. Schmidt

Course 9: Applied Multiple Imputation (On-site) (117 kB)
   Lecturers: Dr. Ferdinand Geißler, Prof. Dr. Jan Paul Heisig

Course 10: Collecting and Analyzing Longitudinal Social Network Data (On-site) (97 kB)
   Lecturers: Dr. Lars Leszczensky, Dr. Sebastian Pink