psy111 Research Methods I - Statistical Modeling - Campusmanagementsystem Stud.IP

Department of Psychology

6 KP

Modulverantwortung

Prüfungsberechtigt

Module components

Semester courses Wintersemester 2026/2027

Examination

Vorlesung

6.02.111_1L - Multivariate statistics I
- Prof. Dr. Andrea Hildebrandt
- Wednesday, 08:00 - 10:00, Weekly (from 14.10.26)
The class in only open for Neurocognitive Psychology, Neuroscience, EngSTS and PhD students, NOT for Biology students.

Seminar

6.02.111_2_Gr1 - Analysis methods with Python - group 1
- Leonardo Zaggia
- Wednesday, 12:00 - 14:00, Weekly (from 14.10.26)
6.02.111_2_Gr2 - Analysis methods with Python - group 2
- Leonardo Zaggia
- Wednesday, 16:00 - 18:00, Weekly (from 14.10.26)

Tutorium
(

statistics

)

6.02.001 - Introductory Course Statistics
- Ann-Kathrin Knak
- Prof. Dr. Andrea Hildebrandt
- Friday, 25.09.26, 10:30 - 16:30 o'clock
- Thursday, 01.10.26, 09:00 - 13:00 o'clock
- Thursday, 08.10.26, 10:00 - 16:00 o'clock
Link to the course: https://meeting.uol.de/rooms/kid-a8q-ml7-kff/join This course is designed for students who are completely new to the world of statistics and for those who have the feeling that many statistical concepts they learned about earlier are not present to them anymore. Relying on theoretical input and applied exercises, this interactive lecture covers all those topics that need to belong to students’ procedural knowledge in order to be able to follow the topics covered by the Psychological methods module. Course contents • Empirical research, variables and scales • Statistical parameter • Graphical data visualization • Probability theory • Probability distributions • Statistical sampling • Hypothesis testing • Testing hypothesis on differences • Correlation • Simple linear regression
6.02.111_1T - Multivariate statistics I (Tutorial)
- Prof. Dr. Andrea Hildebrandt
- Benjamin Alexander Brandt
- Thursday, 14:00 - 16:00, Weekly (from 15.10.26)
Additonal voluntary tutorial for the multivariate statistics lecture. If you are from another study program, please contact the teacher.

Hinweise zum Modul

Prerequisites	Enrolment in Master's programme Neurocognitive Psychology.
Method of assesment	The module will be tested with a written exam.
Exam dates	end of winter term
Learning outcomes/competencies	Goals of module: After completion of this module, students will have basic knowledge in managing and understanding quantitative data and conducting a wide variety of multivariate statistical analyses. They can apply the statistical methodology in terms of good scientific practice and interpret, evaluate and synthesize empirical results in basic and applied research contexts. Students will be aware of statistical misconceptions and they can overcome them. Competencies: ++ interdisciplinary kowledge & thinking ++ statistics & scientific programming ++ data presentation & discussion + independent research + scientific literature ++ ethics / good scientific practice / professional behavior ++ critical & analytical thinking ++ scientific communication skills + group work