Dear colleagues,
There are still a few places available at the GESIS Summer School in Survey Methodology, which
will take place from 24 July to 16 August 2024, online and onsite in Cologne. We offer 15 introductory and advanced courses
on topics ranging from survey design methodology to causal inference methods.
Check out
www.gesis.org/summerschool or read
the course
overview
below.
Program
Week 0 (24 – 26 July) – Short Courses
Introduction
to R for Data Analysis
[onsite | 24 – 25 July]
Developing,
Translating, and Pretesting Questionnaires for Cross-cultural Surveys [online]
Introduction
to Stata for Data Management & Analysis [online]
Week 1 (29 July – 02 August)
Factorial Survey Design
[onsite]
Introduction to Questionnaire
Design
[onsite]
Designing and Implementing
Web Surveys
[onsite]
Causal Inference with
Directed Acyclic Graphs (DAGs) [online| 31 July – 02 August]
Week 2 (05 – 09 August)
Causal Inference Using
Survey Data
[onsite]
Survey Sampling and
Weighting [onsite]
Designing, Implementing,
and Analyzing Longitudinal Surveys [onsite]
Mixed-Mode Surveys
[online| 07 – 09 August]
Week 3 (12 – 16 August)
Introduction to Survey
Design
[onsite]
Data Science Techniques
for Survey Researchers
[onsite]
Introduction to Small
Area Estimation [onsite]
Applied Multiple Imputation
[online]
There is no registration deadline, but places are limited and allocated on a first-come, first-served basis. You can find the complete program, detailed course descriptions,
and more information here. For further training opportunities, have a look at our
Fall Seminar in Computational Social Science and
workshop program.
Thank you for forwarding this announcement to other interested parties.
Best wishes,
Your GESIS Summer School team
--
GESIS – Leibniz Institute for the Social Sciences
GESIS Summer School in Survey Methodology
Email:
summerschool@gesis.org
Web:
www.gesis.org/summerschool
X:
https://twitter.com/gesistraining
Facebook:
https://www.facebook.com/GESISTraining
---
Alisa Remizova
Scientific Coordinator of GESIS Workshops
GESIS - Leibniz Institute for the Social Sciences