***Apologies for cross-posting*** Dear colleagues, We want to highlight a selection of GESIS workshops that may interest advanced researchers. You will find a complete list of all GESIS Training courses online<https://training.gesis.org/?lang=en_US> and attached to this email. (1) Quantile Regression<https://bit.ly/IntroQuantileRegression> (Mannheim, 29 - 30 June 2023) Quantile regression is aimed at statistical metrics beyond the conditional mean. For example, it allows addressing questions about distributional differences between groups, effects at certain points of the outcome distribution, or effects on the overall outcome distribution. (2) Social Media-Based Field Experiments<https://bit.ly/SocialBasedFieldExperiments> ( (Mannheim, 05 - 06 July 2023) The proliferation of social media use has provided new avenues for social science research. This workshop takes up this development and introduces how social media can be used as a platform to conduct digital field experiments. (3) Geo-referential data We offer two workshops on this topic. First is an introduction to geospatial techniques for social scientists <https://bit.ly/GeospatialTechniques> (Mannheim 06 - 07 June), which focuses f.e. on data handling and maps. The second workshop focuses on advanced topics such as regression models for geodata and spatial analysis<https://bit.ly/SpatialRegressionAnalysis> (Mannheim, 26 - 28 June). All the best, the GESIS Training Team --------------------------------------- May 08. - 10.05. Introduction to R<https://bit.ly/23-05-Intro_R> (Online) Judith Gilsbach, Daniel Wagner 09. - 12.05. Applied Data Visualization<https://bit.ly/Applied_Data_Viz> (Online) Paul Bauer 10. - 12.05. Introduction to Structural Equation Modeling for Cross Sectional Data<https://bit.ly/23-05-SEM> (Mannheim) Jochen Mayerl, Henrik Kenneth Andersen 31.5. - 02.06. Advanced R Programming<https://bit.ly/Advanced_R_Programming> (Online) Tom Paskhalis June 06. - 07.06. Introduction to Geospatial Techniques for Social Scientists in R<https://bit.ly/GeospatialTechniques> (Mannheim) Stefan Jünger, Anne-Kathrin Stroppe 19. - 20.06. Automated Reports & Co with Quarto and Markdown<https://bit.ly/QuartoMarkdown> (Online) David Schoch, Chung-hong Chan 21. - 23.06. Grundlagen und aktuelle Debatten der Regressionsanalyse<https://bit.ly/Debatten_Regressionsanalyse> (Mannheim) Michael Gebel, Stefanie Heyne 26. - 28.06. Geodata and Spatial Regression Analysis<https://bit.ly/SpatialRegressionAnalysis> (Mannheim) Tobias Rüttenauer 29. - 30.06. Introduction to Quantile Regression<https://bit.ly/IntroQuantileRegression> (Mannheim) Andreas Haupt, Sebastian E. Wenz July 05. - 07.07. Interactive Data Analysis with Shiny<https://bit.ly/IDA_Shiny> (Online) Jonas Lieth, Paul C. Bauer 05. - 06.07. Social Media-Based Field Experiments<https://bit.ly/SocialBasedFieldExperiments> (Mannheim) Florian Foos, Asli Unan 05. - 07.07. Einführung in die Methoden der modernen Kausalanalyse<https://bit.ly/ModerneKausalanalyse> (Mannheim) Michael Gebel 17. - 19.07. Logistic Regression and Beyond: Modelling Categorical Dependent Variables<https://bit.ly/LogRegression> (Cologne) Sophie Suda August 02. - 04.08. Pretesting Survey Questions<https://bit.ly/GSS23_SCA> (Online) Cornelia Neuert, Timo Lenzner 02. - 04.08. Mixed-Mode Surveys<https://bit.ly/GSS23_SCB> (Online) Sven Stadtmüller, Henning Silber, Yannick Diehl, Peter Schmidt 02. - 04.08. Introduction to Stata for Data Management & Analysis<https://bit.ly/GSS23_SCC> (Online) Irina Bauer, Annika Stein 02. - 04.08. Causal Inference with Directed Acyclic Graphs (DAGs)<https://bit.ly/GSS23_SCD> (Online) Paul Hünermund 07. - 08.08. Qualitative Interviews - Theorie und Praxis<https://bit.ly/QualitativeInterviews> (Mannheim) Günter Mey, Paul S. Ruppel 07. - 11.08. Designing, Implementing, and Analyzing Longitudinal Surveys<https://bit.ly/GSS23_C1> (Cologne) Tarek Al Baghal, Alexandru Cernat 07. - 11.08. Applied Systematic Review and Meta-Analysis<https://bit.ly/GSS23_C2> (Cologne) Jessica Daikeler, Sonila Dardha 07. - 11.08. Causal Inference Using Survey Data<https://bit.ly/GSS23_C3> (Cologne) Heinz Leitgöb, Tobias Wolbring 07. - 11.08. (Non-)Probability Samples in the Social Sciences<https://bit.ly/GSS23_C4> (Online) Carina Cornesse, Olga Maslovskaya 10. - 11.08. Grounded-Theory-Methodologie<https://bit.ly/23-08-Grounded_Theory_Methodologie> (Mannheim) Günter Mey, Paul S. Ruppel 14. - 18.08. Advanced Survey Design<https://bit.ly/GSS23_C5> (Cologne) Bella Struminskaya, Angelo Moretti 14. - 18.08. Advanced Questionnaire Design<https://bit.ly/GSS23_C6> (Cologne) Marek Fuchs 14. - 18.08. Introduction to R for Data Analysis<https://bit.ly/GSS23_C7> (Cologne) Jan Schwalbach, Dennis Abel 14. - 18.08. Missing Data and Multiple Imputation<https://bit.ly/GSS23_C8> (Online) Florian Meinfelder, Angelina Hammon 21. - 25.08. Collecting and Analyzing Social Network Data<https://bit.ly/GSS23_C9> (Cologne) Lars Leszczensky, Sebastian Pink 21. - 25.08. Data Science Techniques for Survey Researchers<https://bit.ly/GSS23_C10> (Cologne) Anna-Carolina Haensch 29. - 31.08. Qualitative Netzwerkanalyse<https://bit.ly/23-08-QualitativeNetzwerkanalyse> (Cologne) Laura Behrmann, Markus Gamper 30.08. - 01.09. Mehrebenenanalyse in Stata<https://bit.ly/MehrebenenanalyseStata> (Cologne) Hermann Dülmer September 05. - 07.09. Introduction to R<https://bit.ly/23-09-Intro_R> (Online) Natalia Umansky, Christian Pipal 05. - 07.09. Introduction to Python<https://bit.ly/23-09-Intro_Python> (Online) Hannah Béchara, Paulina Garcia Corral 11. - 15.09. Introduction to Computational Social Science with R<https://bit.ly/IntroCSSwithR> (Mannheim) Aleksandra Urman, Max Pellert 11. - 15.09. Introduction to Computational Social Science with Python<https://bit.ly/IntroCSSwithPython> (Mannheim) Milena Tsvetkova, Patrick Gildersleve 11. - 15.09. Big Data and Computation for Social Data Science<htttps://bit.ly/BigDataComputation> (Mannheim) Akitaka Matsuo, David (Yen-Chieh) Liao 18. - 22.09. Automated Web Data Collection with R<https://bit.ly/WebDatawithR> (Mannheim) Allison Koh, Hauke Licht 18. - 22.09. Automated Web Data Collection with Python<http://bit.ly/WebDatawithPython> (Mannheim) Felix Soldner, Jun Sun, Leon Fröhling 18. - 22.09. Automated Image and Video Data Analysis with Python<http://bit.ly/ImageVideoAnalysis> (Mannheim) Andreu Casas, Felicia Loecherbach 25. - 29.09. Social Network Analysis with R<http://bit.ly/NetworkAnalysiswithR> (Mannheim) Michał Bojanowski 25. - 29.09. Introduction to Machine Learning for Text Analysis with Python<http://bit.ly/IntroTextAnalysis> (Mannheim) Damian Trilling, Anne Kroon 25. - 29.09. From Embeddings to Transformers: Advanced Text Analysis with Python<http://bit.ly/AdvancedTextAnalysis> (Mannheim) Hauke Licht, Jennifer Victoria Scurrell November 06.- 08.11. Sequence Analysis in the Social Sciences<https://bit.ly/SequenceAnalysis> (Online) Marcel Raab, Emanuela Struffolino 13. - 14.11. Questionnaires for Cross-Cultural and Cross-National Surveys<https://bit.ly/QuestionnairesCCandCNSurveys> (Mannheim) Dorothée Behr, Cornelia Neuert, Lydia Repke 28. - 30.11. Research Data Management and Open Science<https://bit.ly/23-11-RDM> (Online) Anja Perry, Sebastian Netscher 29.11. - 01.12.<https://training.gesis.org/?site=pICS&pID=0x18BDFB0927354262800D009C2BB8A371> Einführung in die Strukturgleichungsmodellierung<https://bit.ly/Strukturgleichungsmodellierung> (Cologne) Marie-Ann Sengewald December 06.- 08.12. Going Cross-Lingual: Computational Methods for Multilingual Text Analysis<https://bit.ly/MultilingualTextAnalysis> (Cologne) Hauke Licht, Fabienne 13.- 15.12. Introduction to Stata<https://bit.ly/23-12-Intro_Stata> (Online) Alexandra Asimov, Katrin Firl --- Dr. André Ernst [he / him] Scientific Coordinator of GESIS Workshops GESIS - Leibniz Institute for the Social Sciences