LFU:online

Curr. 2021 § 5 (1) 6:  The students are able to investigate a research question theoretically with quantitative data and to apply structure-checking procedures to test hypotheses. The students can independently carry out the most common multivariate analysis methods with statistical software, interpret – 5 – the results in a sociologically meaningful way and present them clearly with tables and graphics in research reports and presentations. The positive completion of the module enables the critical reception of quantitative-oriented contributions in the social science literature. Furthermore, the participants get their first insights into the possible uses of “big data” for the social sciences.

This course focuses on multivariate methods of data analysis. It treats the most important multivariate methods of analysis (cross-tabulation, linear and logistic regression), models explaining associations (spuriosity and mediation, including model specification in regressions), and interaction models (moderation). This will be illustrated by analyses of secondary data. Related themes as data description, sample selection, and description and coding of variables will also be discussed.

Lectures

written examination (multiple choice)

Johannes Kopp / Daniel Lois (2014): Sozialwissenschaftliche Datenanalyse. Eine Einführung. 2. Auflage, Wiesbaden: Springer VS

successful completion of compulsory module 4

Students of the Bachelor’s Programme – Management and Economics UC 033 571 (elective module)  do not register for a course via the “SOWI point booking” but via the booking button “LFU:online”.