The Colloquium for Statistical Analyses [CO:STA] is an informal forum to discuss quantitative methods that we apply in our research. CO:STA presents an opportunity for researchers of all levels to present their work in progress with special emphasis of methodological issues, or to simply visit the colloquium and learn about new methods and alternative strategies to answer pressing questions. 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.
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!
Automated Quantitative Content Analysis
Sven Regel (WZB)
Automated content analysis is becoming increasingly popular for large-scale inference of information from all kinds of text. Although the talk focuses on the estimation of policy positions from political text, the underlying methods are basically applicable to a large variety of research questions.
Grimmer, J. and Stewart, B. (2012): Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts. Forthcoming, Political Analysis.
Laver, M., Benoit, K., and Garry, J. (2003). Estimating the policy positions of political actors using words as data. American Political Science Review, 97(2):311–331.
Quinn, K. M., Monroe, B. L., Colaresi, M., Crespin, M., and Radev, D. R. (2010). "How To Analyze Political Attention With Minimal Assumptions And Costs" American Journal of Politicial Science 54(1): 209–228.
Slapin, J. and Proksch, S.-O. (2008). A scaling model for estimating time series policy positions from texts. American Journal of Political Science, 52(8).
Multigroup CFA and SEM as unbiased tests of differences in latent means and relations between concepts
Oriane Sarrasin (Université de Lausanne)
Ethnic and Social Class Discrimination in Education - Experimental Evidence from Germany
Sebastian E. Wenz (University of Bamberg)
Confirmatory factor analysis and the necessity of measurement invariance in group comparisons
Zsófia Ignácz (HU-Berlin)
Multiple Correspondence Analysis: a multidimensional and relational technique
Celine Teney (WZB)
Multi-level modelling vs. cluster-robust standard errors: Same same, but different?
Merlin Schaeffer (WZB)
Coarsened Exact Matching (CEM): a new technique for statistical matching
Jan Paul Heisig und Martin Ehlert (WZB)
The Use and Non-use of Experiments in the Social Sciences
Marc Keuschnigg (Ludwig-Maximilians-Universität München)
Joscha Legewie (Columbia University)
Categorization and Selection Bias in the Study of Ethnic Groups
Oliver Strijbis (University of St. Gallen)
Poverty trajectories after risky life events in different European welfare states [Latent Class Analysis]
Leen Vandecasteele (University of Manchester)
Bringing Geography in. The Group Threat Hypothesis Revisited with Geographically Weighted Regression. Analysis of the 2009 NPD Electoral Results in Germany
Celine Teney (WZB)
Description and Comparison in Models of Ecucational Attainment and Educational Careers [Comparing Logit Coefficients]
Richard Breen (Yale University)
Promoting Self-employment among the Unemployed. A statistical evaluation of qualification and coaching in Germany [Matching]
Dirk Oberschachtsiek (WZB)
Assessing a model of micro-integration using seconded national experts in the European Commission [QCA]
Benny Geys (WZB)
Probleme und Fallen von Logit-Modellen: Beispielhafte Verdeutlichungen anhand von Simulationen
Johannes Giesecke (WZB)
Kleine Theorie der Wahrnehmung statistischer Graphiken
Ulrich Kohler (WZB)