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

Week 0 (29-31 July)

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

Week 1 (03-07 August)

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

Week 2 (10-14 August)

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

Week 3 (17-21 August)

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