GESIS Summer School in Survey Methodology took place from 02-25 August 2023. Some courses were held onsite in Cologne and some were held online. We enjoyed
- 208 participants;
- 10 one-week courses (8 onsite and 2 online) and 4 short courses (online);
- the expertise and skills of 27 lecturers and teaching assistants.
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Week 0 (02-04 August)
Short Course A: Pretesting Survey Questions (Online)
Lecturers: Cornelia Neuert, Timo Lenzner
Short Course B: Mixed-Mode Surveys (Online)
Lecturers: Sven Stadtmüller, Henning Silber, Yannick Diehl, Peter Schmidt
Short Course C: Introduction to Stata for Data Management and Analysis (Online)
Lecturers: Irina Bauer, Annika Stein
Short Course D: Causal Inference with Directed Acyclic Graphs (DAGs) (Online)
Lecturers: Paul Hünermund
Week 1 (07-11 August)
Course 1: Designing, Implementing, and Analyzing Longitudinal Surveys (On-site)
Lecturers: Tarek Al Baghal, Alexandru Cernat
Course 2: Applied Systematic Review and Meta-Analysis (On-site)
Lecturers: Jessica Daikeler, Sonila Dardha
Course 3: Causal Inference using Survey Data (On-site)
Lecturers: Heinz Leitgöb, Tobias Wolbring
Course 4: (Non-)Probability Samples in the Social Sciences (Online)
Lecturers: Carina Cornesse, Olga Maslovskaya
Week 2 (14-18 August)
Course 5: Advanced Survey Design (On-site)
Lecturers: Bella Struminskaya, Angelo Moretti
Course 6: Advanced Questionnaire Design (On-site)
Lecturers: Marek Fuchs
Course 7: Introduction to R for Data Analysis (On-site)
Lecturers: Jan Schwalbach, Dennis Abel
Course 8: Missing Data and Multiple Imputation (Online)
Lecturers: Florian Meinfelder, Angelina Hammon
Week 3 (21-25 August)
Course 9: Collecting and Analyzing Longitudinal Social Network Data (On-site)
Lecturers: Lars Leszczensky, Sebastian Pink
Course 10: Data Science Techniques for Survey Researchers (On-site)
Lecturers: Anna-Carolina Haensch