Summer School 2021
Due to the Covid-19 pandemic, the 10th GESIS Summer School in Survey Methodology was the second virtual GESIS Summer School. It took place online from 28 July - 20 August. We enjoyed:
- 271 participants
- 10 one-week courses and 4 short courses
- the expertise and skills of 27 lecturers and teaching assistants
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Week 0 (28-30 July)
Short Course A: Introduction to Stata for Data Management and Analysis:
Lecturers: Nils Jungmann, Anne-Kathrin Stroppe
Short Course B: Using Directed Acyclic Graphs for Causal & Statistical Inference
Lecturers: Julian Schuessler
Short Course C: Pretesting Survey Questions:
Lecturers: Cornelia Neuert, Timo Lenzner
Week 1 (02-06 August)
Course 1: Introduction to Survey Design
Lecturers: Bella Struminskaya, Ulrich Krieger
Course 2: Questionnaire Design
Lecturers: Marek Fuchs
Course 3: Introduction to R for Data Analysis
Lecturers: Johannes Breuer, Stefan Jünger
Course 4: Survey Sampling and Weighting
Lecturers: Simon Kuehne, Zaza Zindel
Week 2 (9-13 August)
Course 5: Statistical Analysis of Incomplete Data
Lecturers: Florian Meinfelder, Angelina Hammon
Course 6: Design and Implementation of Web Surveys
Lecturers: Christopher Antoun, Frederick Conrad, Florian Keusch
Course 7: (Non-)Probability Samples in the Social Sciences
Lecturers: Carina Cornesse
Course 8: Designing, Implementing, and Analyzing Longitudinal Surveys
Lecturers: Alexandru Cernat,Tarek Al Baghal
Week 3 (16-20 August)
Short Course D: A (short) course on (short) scale development
Lecturers: Clemens Lechner, Matthias Bluemke, Isabelle Schmidt
Course 9: Mixed Methods and Multimethod Research
Lecturer: Ingo Rohlfing, Leonce Röth
Course 10: Collecting and Analyzing Longitudinal Social Network Data
Lecturers: Lars Leszczensky, Sebastian Pink