For further information please consult the course catalogue of Universität Potsdam. https://puls.uni-potsdam.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=83640&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung close

The course covers data analysis techniques for panel data and other data with hierarchical structures (complex samples, item batteries, international comparative survey data, school classes, etc.). Techniques for the management of hierarchical data, graphical methods for describing the data and different regression models for the analysis of such data (2-step approach, random intercept, random coefficient, panel-fixed effects, Seemingly Unrelated Regression, and Bayesian Multilevel) are covered. Stata is used as the data analysis programme. R users are also welcome. Translated with www.DeepL.com/Translator (free version) close