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590008 SE Methodology & methods (2025S)
Complex quantitative research methods
Continuous assessment of course work
Labels
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Die Lehrveranstaltung findet im Besprechungsraum 436, in der Porzellangasse 4, im 4. Stock statt.
- N Thursday 06.03. 16:00 - 18:00 Ort in u:find Details
- Tuesday 11.03. 16:00 - 18:00 Ort in u:find Details
- Thursday 13.03. 16:00 - 18:00 Ort in u:find Details
- Tuesday 18.03. 16:00 - 18:00 Ort in u:find Details
- Thursday 20.03. 16:00 - 18:00 Ort in u:find Details
- Tuesday 25.03. 16:00 - 18:00 Ort in u:find Details
- Tuesday 01.04. 16:00 - 18:00 Ort in u:find Details
- Thursday 03.04. 16:00 - 18:00 Ort in u:find Details
- Tuesday 08.04. 16:00 - 18:00 Ort in u:find Details
- Tuesday 29.04. 16:00 - 18:00 Ort in u:find Details
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. Students may miss class twice in a term (without valid excuse).
- 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. Students may miss class twice in a term (without valid excuse).
- 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: Fr 10.01.2025 00:02
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.