Module PY4101-KP05

Duration

1 Semester

Turnus of offer

each winter semester

Credit points

5

Course of studies, specific fields and terms:

• Master Psychology - Clinical Psychology and Psychotherapy 2022, compulsory, psychology

Classes and lectures:

• PY4100-V: Statistik 3 - Vorlesung (lecture, 2 SWS)
• PY4100-S: Statistik 3 (seminar, 2 SWS)

Workload:

• 60 hours in-classroom work
• 30 hours exam preparation
• 60 hours private studies and exercises

Contents of teaching:

• Generalised linear models (e.g., logistic regression)
• Applied multivariate statistics (Confounding, Moderation, Mediation, Causality, Bias)
• Basics in Classification, Pattern recognition, Dimensionality reduction
• Basics in statistical epidemiology and risk communication
• Generalized linear models (e.g. logistic regression) and hierarchical linear models

Qualification-goals/Competencies:

• Students acquire a more profound ability in planning, analysing, assessing and interpreting scientific results.
• Students are able to analyse complex data sets from behavioural and neuroscience with current statistical software and in doing so are able to follow exploratory and confirmatory approaches.
• Enhanced skills in mathematical, methodological, and analytical thinking
• A deeper understanding in terms of linear algebra and geometry of the linear model
• Extended skill set of solving statistical problems and reaching evidence-based decisions
• Teaching the practical application of exploratory and confirmatory analysis strategies; including ensuring the reproducibility of results (through the use of R notebooks)

Grading through:

• written exam
• Active Participation

Responsible for this module:

• Prof. Dr. rer. nat. Jonas Obleser
• PD Dr. phil. Sarah Tune

Teacher:

• Department of Psychology
• Prof. Dr. rer. nat. Jonas Obleser

Literature:

• Fox, J. (2015) : Applied Regression Analysis and Generalized Linear Models. SAGE Publications
• Westreich, D. (2019) : Epidemiology by Design. Oxford University Press, USA
• Tabachnick, B., Fidell, L.S. (2013) : Using Multivariate Statistics: Pearson New International Edition. Pearson Higher Ed.
• Wickens, T. (1995) : The Geometry of Multivariate Statistics Psychology Press.

Language:

• offered only in German

Notes:

Last Updated:

15.07.2025