Module M3 - Multivariate Statistics
Module coordinator:
Bachelor's degree program Psychology
Participants:
- Bachelor's degree program in Psychology, compulsory course
- recommended in the 3rd semester
Scope:
- 2 SWS lecture
- 2 SWS computer seminar in 4 groups
Note on implementation
An Opal course will be set up for the module (at the latest one week before the start of the courses of the current semester), in which all information, schedules, videos, tasks, teaching materials, mock exam, etc. will be offered.
Content:
The course aims to familiarize students with the multivariate methods of biostatistics (multiple correlation and regression analysis, logistic regression analysis, exploratory factor analysis, multidimensional variance analysis, discriminant analysis, cluster analysis, time series analysis, introduction to complex multivariate methods (hierarchical linear models, linear structural equation models)), which are particularly important for psychological questions, and to enable them to apply them in practice. In the lecture, the methods are presented in an application-oriented manner and discussed using practical examples from psychological studies. In the seminars (computer practicals), the knowledge is implemented using modern statistical software (SPSS) on the basis of selected tasks.
Basic literature for the module: Rudolf, M. & Buse, J. (2020). Multivariate Verfahren. Eine praxisorientierte Einführung mit Anwendungsbeispielen in SPSS (3. Aufl.). Göttingen: Hogrefe.