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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Short Course A: Introduction to Stata for Data Management and Analysis (163 kB)
  Lecturers: Nils Jungmann, Anne-Kathrin Stroppe

Short Course B: Using Directed Acyclic Graphs for Causal & Statistical Inference (120 kB)
   Lecturers: Julian Schuessler

Short Course C: Pretesting Survey Questions (145 kB)
   Lecturers: Cornelia Neuert, Timo Lenzner

Course 1: Introduction to Survey Design (159 kB)
  Lecturers: Bella Struminskaya, Ulrich Krieger

Course 2: Questionnaire Design (142 kB)
   Lecturers: Marek Fuchs

Course 3: Introduction to R for Data Analysis (130 kB)
   Lecturers: Johannes Breuer, Stefan Jünger

Course 4: Survey Sampling and Weighting (120 kB)
   Lecturers: Simon Kuehne, Zaza Zindel

Course 5: Statistical Analysis of Incomplete Data (131 kB)
   Lecturers: Florian Meinfelder, Angelina Hammon

Course 6: Design and Implementation of Web Surveys (150 kB)
   Lecturers: Christopher Antoun, Frederick Conrad, Florian Keusch

Course 7: (Non-)Probability Samples in the Social Sciences (162 kB)
   Lecturers: Carina Cornesse

Course 8: Designing, Implementing, and Analyzing Longitudinal Surveys (158 kB)
   Lecturers: Alexandru Cernat, Tarek Al Baghal

Short Course D: A (short) course on (short) scale development (202 kB)
   Lecturers: Clemens Lechner, Matthias Bluemke, Isabelle Schmidt

Course 9: Mixed Methods and Multimethod Research  (156 kB)
   Lecturer: Ingo Rohlfing, Leonce Röth

Course 10: Collecting and Analyzing Longitudinal Social Network Data (142 kB)
   Lecturers: Lars Leszczensky, Sebastian Pink