Specialization Modules

The study program "Social Research Methods" combines a social science education with three program modules that provide in-depth knowledge in statistical methods, practical application of procedures using common statistical software packages (including R, Stata, and SPSS), and methodological foundations. Furthermore, the elective courses offer a chance to delve into qualitative data collection and analysis methods.

This module covers advanced regression and classification methods for cross-sectional and longitudinal data, focusing on their application in analyzing datasets within the field of social sciences. The seminars within this module aim to develop analytical skills and also address topics related to data management and result preparation.

This module encompasses seminars covering a diverse range of current methods and approaches. The topics are wide-ranging, including seminars on Bayesian statistics, handling missing values in data analysis, multilevel and structural equation models, as well as methods for analyzing geospatial data and "big data". Moreover, there are seminars on case studies, narrative and content analysis methods for qualitative interviews, grounded theory research approaches, and field research in intercultural contexts.

This module delves into methodological fundamental questions stemming from challenges in research practice. These encompass topics such as reflexivity in the research process and the identification of causal effects using various research designs, i.e., experimental data or non-experimental observational data. Within specific analyses, it sheds light on the interplay between theory and the practice of empirical social research, critically discussing the methods and approaches covered.