GESIS Summer School in Survey Methodology 2020
Due to the Covid-19 pandemic, the 9th GESIS Summer School in Survey Methodology was the first virtual GESIS Summer School. It took place online from 29 July to 21 August 2020. We enjoyed:
- 226 participants
- 8 one-week courses and 3 short courses
- the expertise and skills of 19 lecturers and teaching assistants
Shourt Course A: Introduction to Stata for Data Analysis (115 kB)
Lecturers: Anne-Kathrin Stroppe, Nils Jungmann
Short Course B: Research Designs and Causal Inference (113 kB)
Lecturers: Prof. Dr. Stefanie Eifler, Dr. Heinz Leitgöb
Course 01: Questionnaire Design (109 kB)
Lecturer: Prof. Dr. Marek Fuchs
Course 02: Introduction to R for Data Analysis (774 kB)
Lecturers: Dr. Johannes Breuer, Dr. Stefan Jünger
Course 03: Mathematical Tools for Social Scientists: A Refresher Course with R (105 kB)
Lecturer: Prof. Dr. Oleg Nenadic
Course 04: Introduction to Survey Design (1.49 MB)
Lecturers: Prof. Dr. Bella Struminskaya, Dr. Ulrich Krieger
Course 05: Applied Multiple Imputation (117 kB)
Lecturers: Dr. Ferdinand Geißler, Dr. Jan Paul Heisig
Short Course C: Applied Systematic Review and Meta-Analysis (130 kB)
Lecturers: Dr. Jessica Daikeler, Sonila Dardha
Course 06: Survey Sampling and Weighting (104 kB)
Lecturers: Dr. Simon Kühne, Jannes Jacobsen
Course 07: Designing, Implementing, and Analyzing Longitudinal Surveys (115 kB)
Lecturers: Dr. Tarek Al Baghal, Dr. Alexandru Cernat
Course 08: Mixed Methods and Multimethod Research (108 kB)
Lecturer: Prof. Dr. Ingo Rohlfing