Lehrende: Dr. Kilian Seng
Veranstaltungsart: Seminar
Orga-Einheit: Sociology, Politics & Economics
Anzeige im Stundenplan: Angew. Dat.analyse
Semesterwochenstunden: 3
Credits: 6,0
Standort: Campus der Zeppelin Universität
Unterrichtssprache: Englisch
Min. | Max. Teilnehmerzahl: 10 | 35
Prioritätsschema: Standard-Priorisierung
Inhalte: The course deals with data analysis and the statistical software "R" will be introduced. The topics of statistics will be repeated and additional methods will be introduced and applied with R: - data management (read and manage data, variable management) - univariate, bivariate and multivariate statistics - graphical presentation and analysis of results - regression analysis and diagnostics (OLS) - Interaction effects and non-linear relations - logistic regression (Maximum Likelihood) - marginal effects - sampling weights - machine learning
Lernziele: The goal of the course is to deepen the knowledge of statistics and to apply it. The participants will learn how to use the statistical software "R" in order to be able to conduct their own research by applying statistical procedures.
Weitere Informationen zu den Prüfungsleistungen: The midterm consists of obligatory exercises with R during the semester and § 19 Abs. 2 ASPO applies to the midterm. Passing the midterm is precondition for admission to the endterm. The endterm is a research paper with an empirical analysis with R. Weights: Midterm 25%, Endterm 75%
Literatur: - Lantz, Brett (2019): Machine Learning with R. Brigmingham: Packt. 3rd ed. - Seng, Kilian (2018): Multiple Regressionen mit unabhängigen Beobachtungen. In: Wagemann, Claudius et al. (Hrsg.): Handbuch Methoden der Politikwissenschaft. Wiesbaden: Springer VS. - Wooldridge, Jeffrey M. (2012): Introductory Econometrics: A Modern Approach. South-Western College Publishers. - Dalgaard, Peter (2008): Introductory Statistics with R. New York: Springer.
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