| Termin/e |
Do, 17.09.2026, 14:15 - 16:00 Uhr, 2.A44
Do, 24.09.2026, 14:15 - 16:00 Uhr, 2.A44
Do, 01.10.2026, 14:15 - 16:00 Uhr, 2.A44
Do, 08.10.2026, 14:15 - 16:00 Uhr, 2.A44
Do, 15.10.2026, 14:15 - 16:00 Uhr, 2.A44
Do, 22.10.2026, 14:15 - 16:00 Uhr, HS 5
Do, 29.10.2026, 14:15 - 16:00 Uhr, 2.A44
Do, 05.11.2026, 14:15 - 16:00 Uhr, 2.A44
Do, 12.11.2026, 14:15 - 16:00 Uhr, 2.A44
Do, 19.11.2026, 14:15 - 16:00 Uhr, 2.A44
Do, 26.11.2026, 14:15 - 16:00 Uhr, 2.A44
Do, 03.12.2026, 14:15 - 16:00 Uhr, 2.A44
Do, 10.12.2026, 14:15 - 16:00 Uhr, 2.A44
Do, 17.12.2026, 14:15 - 16:00 Uhr, 2.A44 |
| Inhalt |
The colloquium lecture introduces students to important methods of multivariate statistics. Multivariate statistics enables the analysis of complex statistical relationships between several variables. The course covers (1) binary logistic regression, (2) multiple correspondence analysis, (3) multilevel analysis and (4) log-linear analysis. These methods take into account the special data situation in the social sciences (mostly categorical data, then also clustered data structures), but today there are also standard methods in related fields such as data science. The focus of the course is on understanding the conceptual foundations and properties of these statistical methods. The course intends to qualify students so that they can handle the statistical methods correctly from a social science perspective and interpret the results competently. These methods are frequently used in BA and MA theses. The software R/RStudio as user interface) is used in the course so that practical application is also included. As part of the colloquium lecture, the lecture content is applied in exercises which will prepare for the exam. Regular attendance of the lectures is required. |