***Apologies for cross-posting*** Dear EPSA colleagues, GESIS invites you to expand your toolkit in advanced statistical modeling in R and Stata in the upcoming online workshops: 20. - 22.03. Applied Multiverse Analysis<https://bit.ly/App-multiverse-analysis> (Online) Reinhard Schunck, Johanna Pauliks 24. - 26.04. Introduction to Deep Learning in R<https://bit.ly/deeplearning_R> (Online) Christian Arnold 06. - 08.05. Advanced Bayesian Statistical Modeling in R and Stan<https://bit.ly/bayesianstats_R> (Online) Denis Cohen 10. - 11.10. Using Simulation Studies to Evaluate Statistical Methods<https://bit.ly/SimulationStudies_StatisticalMethods> (Online) Tim Morris, Matteo Quartagno You can find a complete schedule of GESIS Training courses online<https://training.gesis.org/> and below. If you have any questions or require further information, please do not hesitate to contact me (alisa.remizova@gesis.org<mailto:alisa.remizova@gesis.org>). We would appreciate you forwarding this announcement to other potentially interested parties. Thank you, and best wishes, Your GESIS Training team -------------- February 20. - 21.02. Propensity Score Matching: Computation and Balance Estimation for two and more Groups in R<https://bit.ly/Propensity_Score_Matching> (Online) Julian Urban 20. - 23.02. Applied Machine Learning with R<https://bit.ly/AppliedMachineLearningR> (Online) Paul C. Pauer 21. - 23.02. Conducting Qualitative Interviews<https://training.gesis.org/?site=pDetails&child=full&pID=0x233B1447BC8741C0AA8C2FAA01F57CC3> (in German; Cologne) Nicole Bögelein, Katharina Leimbach 26. - 27.02. Grounded Theory Methodology<https://training.gesis.org/?site=pDetails&child=full&pID=0x68313FDCAB22454FB31E3B77137DDF7E> (in German; Online) Günter Mey, Paul Sebastian Ruppel 26.02. - 01.03. Modern Longitudinal Analysis using R<https://training.gesis.org/?site=pDetails&child=full&pID=0x0CA8F929E23A4BB2B966062936A15953&subID=0xA6D6F50086AC4230A4CD331A290664DF> (Cologne) Alexandru Cernat, Nick Shryane March 04. - 08.03. Recent Developments in Difference-in-Differences Estimation<https://training.gesis.org/?site=pDetails&child=full&pID=0x0CA8F929E23A4BB2B966062936A15953&subID=0x9B42902C2C11440BB7F262A0BB2B4A99> (Cologne) Scott Cunningham 06. - 08.03. Introduction to Stata<file://gesis.intra/public/mannheim/J_Laufwerk/Work/GESIS_Training/01%20Formate/01%20Workshops/Marketing/bit.ly/24-03-Intro_Stata> (Online) Alexandra Asimov, Katrin Firl 11. - 15.03. Causal Machine Learning for Cross-sectional and Panel Data<https://training.gesis.org/?site=pDetails&child=full&pID=0x0CA8F929E23A4BB2B966062936A15953&subID=0xECA7F7CB40B64A1FB50D8E1EA00BB0A0> (Cologne) Martin Spindler, Jannis Kück 13. - 15.03. Introduction to Computational Text Analysis with R<https://bit.ly/ComputationalTextAnalysisR> (Online) Lea Kaftan, Jan Schwalbach 20. - 22.03. Applied Multiverse Analysis<https://bit.ly/App-multiverse-analysis> (Online) Johanna Pauliks, Reinhard Schunck 21. - 22.03. Using Smartphone Sensors, Apps, and Wearables<https://bit.ly/SmartphoneSensorsAppsWearables> (Online) Bella Struminskaya, Florian Keusch April 11. - 12.04. Introduction to Quantile Regression<https://bit.ly/IntroQuantileRegression_24> (Online) Andreas Haupt, Sebastian E. Wenz 22. - 24.04. Introduction to Structural Equation Modeling<https://training.gesis.org/?site=pDetails&child=full&pID=0x9BC8E3052B6442C08BEA1F5F828ED21F> (in German; Online) Marie-Ann Sengewald 23. - 24.04. Introduction to Geospatial Techniques for Social Scientists in R<https://bit.ly/geospatialtechniques> (Cologne) Stefan Jünger, Anne-Kathrin Stroppe 24. - 26.04. Expert Interviews<https://training.gesis.org/?site=pDetails&child=full&pID=0xFDB35AFA589E4B438EE854B242719E6A> (in German; Cologne) Laura Behrmann, Nicole Bögelein 24. - 26.04. Introduction to Deep Learning in R<https://bit.ly/deeplearning_R> (Online) Christian Arnold May 06. - 08.05. Introduction to R<file://gesis.intra/public/mannheim/J_Laufwerk/Work/GESIS_Training/01%20Formate/01%20Workshops/Marketing/bit.ly/05-24_Intro_to-R> (Online) Natalia Umansky, Christian Pipal 06. - 08.05. Advanced Bayesian Statistical Modeling in R and Stan<https://bit.ly/bayesianstats_R> (Online) Denis Cohen 14. - 17.05. Applied Data Visualization with R<https://bit.ly/AppliedDataVisualizationR> (Online) Paul C. Bauer June 03. - 06.06. Introduction to Multilevel Structural Equation Modeling<https://training.gesis.org/?site=pDetails&child=full&pID=0x9EB9E4D345164C208BBE6D4ACB4F3700&lang=de_DE&lang=en_US> (in German; Mannheim) Theresa Rohm 05. - 07.06. Advanced R Programming<https://bit.ly/advanced_r_programming> (Online) Tom Paskhalis 19. - 21.06. Fundamentals and Current Debates of Regression Analysis<https://training.gesis.org/?site=pDetails&child=full&pID=0x6AD61D93F7B748FC88156EAF25CA47BC> (in German; Mannheim) Michael Gebel, Stefanie Heyne July 01. - 03.07. Geodata and Spatial Regression Analysis<https://bit.ly/GeodataSpatialRegression> (Mannheim) Tobias Rüttenauer 08. - 10.07. Data Management, Advanced Programming and Automation using Stata<https://bit.ly/ProgrammingAutomationStata> (Mannheim) Daniel Bela 23. - 27.07. Interactive Data Analysis with Shiny<https://bit.ly/data_analysis_shiny> (Online) Jonas Lieth, Paul C. Bauer September 03. - 05.09. Qualitative Network Analysis<https://training.gesis.org/?site=pDetails&child=full&pID=0x6954A7476E614EE5AFA324D46D64B759> (in German; Cologne) Laura Behrmann, Markus Gamper 12. - 13.09.<https://training.gesis.org/?site=pICS&pID=0x6954A7476E614EE5AFA324D46D64B759> Qualitative Interviews - Theory and Practice<https://bit.ly/QualiInterviews> (in German; Cologne) Günter Mey, Paul S. Ruppel 12. - 13.09.<https://training.gesis.org/?site=pICS&pID=0x6954A7476E614EE5AFA324D46D64B759> Fundamentals and Advanced Topics in Modeling Interaction Effects<https://bit.ly/InteractionEffects> (Online) Janina Beiser-McGrath, Liam F. Beiser-McGrath 16. - 17.09.<https://training.gesis.org/?site=pICS&pID=0x6954A7476E614EE5AFA324D46D64B759> Grounded Theory Methodology (in German; Cologne) Günter Mey, Paul S. Ruppel 26. - 27.09 Introduction to Qualitative Content Analysis<https://training.gesis.org/?site=pDetails&child=full&pID=0xD216463F675849AD96ECB4A5CD674EA6> (in German; Cologne) Markus Janssen, Christoph Stamann 30.09 - 02.10. Multilevel Analysis with Stata and R<https://training.gesis.org/?site=pDetails&child=full&pID=0xF181262129C24F4EBD88B2865D3E56B6> (in German; Cologne) Hermann Dülmer, Heike Krüger October 10. - 11.10. Using Simulation Studies to Evaluate Statistical Methods<https://bit.ly/SimulationStudies_StatisticalMethods> (Online) Tim Morris, Matteo Quartagno 16. - 17.10. & 23. - 24.10. Sequence Analysis in the Social Sciences<https://bit.ly/sequence_analysis> (Online) Marcel Raab, Emanuela Struffolino November 12. - 14.11.<https://training.gesis.org/?site=pICS&pID=0x6954A7476E614EE5AFA324D46D64B759> Mixed Methods and Multimethod Research (MMMR)<https://bit.ly/mixed_multimethodresearch> (in German; Cologne) Andrea Hense December 05. - 06.12. & 12. - 13.12. Introduction to Methods of Causal Inference<https://bit.ly/Intro_CausalInference> (Online) Michael Gebel 05. - 06.12. & 12. - 13.12. Introduction to Event History Analysis<https://bit.ly/EventHis2024> (Online) Jan Skopek --- Alisa Remizova alisa.remizova@gesis.org<mailto:alisa.remizova@gesis.org> Scientific Coordinator of GESIS Workshops GESIS - Leibniz Institute for the Social Sciences https://training.gesis.org/