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

In the seminar, participants independently practice the most important multivariate analysis methods (linear and logistic regression), models for explaining associations (mediation models, including model construction of regressions), and interaction models (moderation). Participants will learn to present and interpret the results of quantitative data analyses in a short research report. Furthermore, preparatory steps such as data description, data selection, and modification of variables are taken as a basis for the multivariate analysis procedures.

Seminar and computer laboratory

Essay

Literature follows

successful completion of compulsory module 4