The Colloquium for Statistical Analyses [CO:STA] is a forum to discuss quantitative methods that we apply in our research. Reflecting the set-up of the WZB, particular applications include examples from political science, economics and sociology. The colloquium is open to all WZB researchers as well as to external guests. Our newsletter informs about upcoming sessions.
Specifically, CO:STA hosts the following activities:
Workshops and presentations focusing on statistical methods and tools.
A reading group to work together through recent textbooks focusing on quantitative methods.
A speaker series with external guests but open to everyone willing to receive feedback with special emphasis of methodological issues
If you wish to present and discuss your research at CO:STA, if you have suggestions for interesting topics that should be covered, or if you wish to be registered for the newsletter – feel free to drop an e-mail to the CO:STA team!
Gunnar Lemmer (Philipps University Marburg)
Workshop "Data Management for Social Scientists - From Files to Databases"
Nils Weidmann (University of Konstanz)
Framing a Protest: Determinants and Effects of Visual Frames
Michelle Torres (Rice University)
Workshop "RMarkdown: Writing Reproducible Research Papers with R"
Resul Umit (University of Oslo)
Workshop "Working with Spatial Data in R"
Markus Konrad (WZB)
Clustering of Time Series Using Machine Learning
Johannes Leutgeb (WZB)
Political and Social Consequences of Qualification Mismatches: A bounding approach to status inconsistency
Jonas Wiedner (WZB)
Causal Inference and Data-Fusion in Econometrics
Paul Hünermund (Maastricht University)
Keynote "Social science and the replication crisis"
Andrew Gelman (Columbia University)
Workshop "Introduction to R"
Arndt Leininger (Johannes Gutenberg-University Mainz)
Workshop "Mediation Analysis in Stata"
Till Kaiser (Ruhr University Bochum)
Workshop "Decomposition Methods"
Andreas Haupt (KIT)
Unpacking Configurational Dynamics: Sequence Analysis and QCA as a Mixed Methods Design
Camilla Borgna and Emanuela Struffolino (WZB)
No Need to Turn Bayesian in Multilevel Analysis with Few Clusters: How Frequentist Methods Provide Unbiased Estimates and Accurate Inference
Jan Paul Heisig (WZB), Martin Elff (Zeppelin University), Merlin Schaffer (University of Cologne), and Susumu Shikano (University of Konstanz)
Measurement Invariance in cross-cultural and comparative research: Controversies and new procedures
Peter Schmidt (University of Gießen)