*** Apologies for cross-posting ***
Dear colleagues,
Attached you will find the preliminary program of GESIS Training for the first half of 2023. We would like to highlight two workshops that might be of special interest to you as advanced quantitative social scientists.
The workshop by Reinhard Schunck and Nora Huth-Stöckle introduces Multiverse Analysis (Online,
22.-24.02.), which addresses the decision dependency of (quantitative) data analysis. This workshop might be of interest to those who want to increase the reliability and transparency of their analysis.
Furthermore, we want to draw your attention to the
Directed Acyclic Graphs (DAGs) for Causal Inference
workshop (in Cologne, 22.-24.03.) by Will Lowe. While DAGs are called for, they are still rarely used. This workshop gives an overview of causal identification and inference based around
DAGs.
Best wishes,
Your GESIS Training team
February
14. - 15.02. Automatic Sampling and Analysis of YouTube
Data (Online)
Annika Deubel, Johannes Breuer, Rohangis Mohseni
22. - 24.02. Durchführung qualitativer Interviews (Online)
[waiting list]
Katharina Leimbach, Nicole Bögelein
22. - 24.02. Introduction to R (Online)
[waiting list]
Matthias Roth, Lukas Birkenmaier
23. - 24.02. Applied Multiverse Analysis (Online)
Reinhard Schunck, Nora Huth-Stöckle
27.02.
- 03.03. Comparative Social Research with Multi-Group SEM (Cologne)
Daniel Seddig, Eldad Davidov, Peter Schmidt, Yannick Diehl
March
06. - 10.03. Decomposition
Methods in the Social Sciences (Cologne)
[waiting list]
Johannes Giesecke, Ben Jann
13. - 17.03. Latent Class Analysis (Cologne)
Daniel Oberski, Laura Boeschoten
22. - 24.03. Directed
Acyclic Graphs for Causal Inference (Cologne)
William Lowe
27. - 29.03. Collecting Social Media Data with the Twitter
API (Online)
Dennis Assenmacher, Leon Fröhling
27. - 28.03. Einführung in die Programmierung von Websurveys (Online)
Frauke Riebe, Jan Marquardt
27. - 28.03. Grounded-Theory-Methodologie (Online)
Günter Mey, Paul Sebastian Ruppel
April
17. - 18.04. Using Smartphone Sensors, Apps, and Wearables
in Social Science Research (Online)
Florian Keusch, Bella Struminskaya
17. - 18.04. Data Management, Advanced Programming and
Automation using Stata (Mannheim)
Daniel Bela
25. - 28.04. Introduction to Event History Analysis (Online)
Jan Skopek
26. - 27.04. Expert*inneninterviews (Mannheim)
Betina Hollstein, Laura Behrmann
May
03. - 05.05. Introduction to Computational Text Analysis with R (Online)
Marco Wähner
08. - 10.05. Egocentric Networks: Theory, Methods, and
Applications (Mannheim)
Lydia Repke
08. - 10.05. Introduction to R
(Online)
Judith Gilsbach
09. - 12.05. Applied Data Visualization (Online)
Paul Bauer
10. - 12.05. Introduction to Structural Equation Modeling
for Cross Sectional Data (Mannheim)
Jochen Mayerl, Henrik Kenneth Andersen
31.05. - 02.06. Advanced R Programming
(Online)
Tom Paskhalis
June
06. - 07.06. Introduction to Geospatial Techniques for Social Scientists
in R (Cologne)
Stefan Jünger, Anne-Kathrin Stroppe
12.06. Linking Twitter & Survey Data (Online)
Luke Sloan, Libby Bishop, Johannes Breuer
19. - 20.06. Automated Reports & Co with Quarto and Markdown
(Online)
David Schoch, Chung-hong Chan
21. - 23.06. Grundlagen und aktuelle Debatten der Regressionsanalyse (Mannheim)
Michael Gebel, Stefanie Heyne
26. - 28.06. Geodata and Spatial Regression Analysis (Mannheim)
Tobias Rüttenauer
July
05. - 07.07.
Interactive Data Analysis with Shiny (Online)
Dennis Abel
17. - 19.07. Logistic Regression and Beyond: Modelling
Categorical Dependent Variables (Cologne)
Marita Jacob
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GESIS – Leibniz Institute for the Social Sciences
email: training@gesis.org
twitter: https://twitter.com/gesistraining
facebook: https://www.facebook.com/GESISTraining
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Dr. André Ernst [he / him]
Scientific Coordinator of GESIS Workshops
GESIS - Leibniz Institute for the Social Sciences