590003 SE Methodology & methods (2025W)
Complex quantitative research methods
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 01.09.2025 06:30 to Mo 29.09.2025 09:00
- Deregistration possible until Mo 20.10.2025 09:00
Details
max. 15 participants
Language: German, English
Lecturers
Classes
Dienstag 14.10. 15:00 - 18:15 Seminarraum 4 341 Porzellangasse 4 3.OG
Dienstag 21.10. 15:00 - 18:15 Seminarraum 4 341 Porzellangasse 4 3.OG
Dienstag 28.10. 15:00 - 18:15 Seminarraum 4 341 Porzellangasse 4 3.OG
Dienstag 11.11. 15:00 - 18:15 Seminarraum 4 341 Porzellangasse 4 3.OG
Dienstag 18.11. 15:00 - 18:15 Seminarraum 4 341 Porzellangasse 4 3.OG
Dienstag 02.12. 15:00 - 18:15 Seminarraum 4 341 Porzellangasse 4 3.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
Grade Composition
• Active participation 20%
• Homework Assignments 80%
• Active participation 20%
• Homework Assignments 80%
Minimum requirements and assessment criteria
- For a positive grade, all homeworks needs to be completed and submitted.
- Required Software: JASP, which can be downloaded here:https://jasp-stats.org/
Exam material:
- Mandatory attendance.
- Active participation
- Preparation (reading/watching) of materials
- Homework assignments per session
- Required Software: JASP, which can be downloaded here:https://jasp-stats.org/
Exam material:
- Mandatory attendance.
- Active participation
- Preparation (reading/watching) of materials
- Homework assignments per session
Examination topics
Slides, literature, homework
Reading list
TBA
Association in the course directory
DSE
Last modified: We 10.09.2025 08:07
The following will be covered within in the course:
- Descriptive Statistics
- Testing of mean differences (t-test, ANOVA, U-test)
- Correlation
- Regression
- Confirmatory Factor Analysis
- Mediator/Moderator Analysis
- Reliability Analysis
On all these topics, background information will be given, but the course focuses on hands-on examples. This course emphasizes open-source methods and data. As such we will be using only JASP to assess data and all of our datasets will be from open repositories of data. The course is designed for students with no or little previous experience with JASP.