In this seminar, methods of multi-level modelling, longitudinal and panel data modelling (with survey data) are taught. In this context, dealing with missing data will also be discussed. As statistical software R (with R-Studio as editor) is used. Either 5 or 10 ECTS points can be achieved in the course. For 5 points, a small assignment on the methods learned must be completed at the end of the course. For 10 points, the written elaboration of a research project (max. 12 pages) is necessary, for which the student already brings a topic, a question and an associated data set as a prerequisite. The seminar is a three-day block seminar at the end of the semester (8. - 10.2.2023)) and is planned as a face-to-face event. The seminar is aimed at students who are in a higher Master's degree year (about to write their Master's thesis) and for doctoral students (BGSS etc.). The seminar is not suitable for Bachelor's students or Master's students at the beginning of their Master's studies, as it already presupposes extensive methodological knowledge. close

Suitable literature for the seminar is, e.g. - Agresti, Alan. (2017). Statistical methods for the social sciences. Pearson. - Mittelhammer, R., & Mittelhammer, R. C. (1996). Mathematical statistics for economics and business (Vol. 78). New York: Springer. - Kabaco?, R. I. (2010). R in Action. Manning. - Fahrmeir, L., Heumann, C., Künstler, R., Pigeot, I., & Tutz, G. (2016). Statistik: Der Weg zur Datenanalyse. Springer-Verlag. The seminar is a three-day block seminar at the end of the semester (8.-10.2.2023, 9 am to 4 pm). The seminar is aimed at students who are either in a higher Master's degree year (about to write their Master's thesis) or doctoral students. The seminar is not suitable for Bachelor's students or Master's students at the beginning of their Master's studies, as it already presupposes extensive methodological knowledge. close