This course will be conducted in English.
Descriptive statistical parameters such as frequency distributions, means, cross-tabs and correlations are sometimes sufficient to describe narrowly defined specific aspects of a research topic and to analyze simple relationships. In contrast, multivariate analysis methods are always used to investigate more complex empirical and theoretical relations. Further, they enable to discover unknown structures in the analyzed data to verify theoretical hypothesized structures. This course introduces in various multivariate techniques (factor analysis, variance analysis, regression analysis, discriminant analysis, cluster analysis) and applies them on actual empirical data. At this, the focus is on the practical application of the methods, their possibilities and restrictions as well as the interpretation of their results. Their mathematical basics are only considered to the extent necessary for the understanding of these methods.
scheduled work form:
Group and plenary work.
Learning outcomes and competences:
Students can gain a basic but also critical understanding of these methods and the corresponding basic skills to apply these methods.
basic knowledge in statistics and methods of empirical research
Stevens, J. P. (2009): Applied multivariate statistics for the social sciences. 5th edition. New York.
Tabachnick, B. G.; Fidell, L. S. (2007): Using multivariate statistics. 5th edition. Boston.
Wonnacott, T. H.; Wonnacott, R. J. (1990): Introductory statistics. 5th edition. New York.
Wonnacott, R. J.; Wonnacott, T. H. (1979): Econometrics. New York.
Backhaus, Erichson, Plinke, Weiber (2011): Multivariate Analysemethoden: Eine anwenderorientierte Einführung, 13. Aufl., Berlin.
Bortz , Schuster (2010): Statistik für Human- und Sozialwissenschaftler, 7. Aufl., Berlin.
Kohler, Kreuter (2012): Datenanalyse mit Stata: Allgemeine Konzepte der Datenanalyse und ihre praktische Anwendung, 4. Aufl., München.
Hartung, Elpelt (2006): Multivariate Statistik: Lehr- und Handbuch der angewandten Statistik, 7. Aufl., München.
Rhythmus | Tag | Uhrzeit | Format / Ort | Zeitraum |
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Die verbindlichen Modulbeschreibungen enthalten weitere Informationen, auch zu den "Leistungen" und ihren Anforderungen. Sind mehrere "Leistungsformen" möglich, entscheiden die jeweiligen Lehrenden darüber.
active participation: regular, active participation and presentation
graded individual work: transcription of the presentation (15 pages) or a written report (15 pages)
Zu dieser Veranstaltung existiert ein Lernraum im E-Learning System. Lehrende können dort Materialien zu dieser Lehrveranstaltung bereitstellen: