Lehrende: Dr. Cornelia Chadi
Veranstaltungsart: Seminar
Orga-Einheit: Politics, Administration & International Relations
Anzeige im Stundenplan: Applied Data Analysi
Semesterwochenstunden: 3
Credits: 6,0
Standort: Campus der Zeppelin Universität
Unterrichtssprache: Englisch
Min. | Max. Teilnehmerzahl: 5 | 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 concepts 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 The techniques learned in R are applied to topics and questions of empirical political research. A tutorial for practicing will be given in addition to the course.
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 empirical research in political science.
Weitere Informationen zu den Prüfungsleistungen: The endterm is a term paper based on an empirical analysis in R. The midterm consists of a presentation of the chosen research question of the term paper. Additionally, there are obligatory exercises with R during the semester. § 19 Abs. 2 ASPO applies to the midterm. Passing the midterm is precondition for admission to the endterm. Weights: Midterm 25%, Endterm 75%
Literatur: - Wooldridge, Jeffrey M. (2012): Introductory Econometrics: A Modern Approach. South-Western College Publishers. - Dalgaard, Peter (2008): Introductory Statistics with R. New York: Springer. - Hellbrück, Rainer. 2016. Angewandte Statistik mit R: Eine Einführung für Ökonomen und Sozialwissenschaftler. Wiesbaden: Springer Gabler. - Luhmann, M. 2011. R für Einsteiger: Einführung in die Statistiksoftware für die Sozialwissenschaften. Weinheim und Basel: Beltz.
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