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350084 SE MA1II - SpecializationCourse Quantitative Research Methods (2026S)
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 02.02.2026 09:00 to Fr 20.02.2026 07:00
- Deregistration possible until Tu 31.03.2026 12:00
Details
max. 20 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Monday 02.03. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 09.03. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 16.03. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 23.03. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 13.04. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 20.04. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 27.04. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 04.05. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 11.05. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 18.05. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 01.06. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 08.06. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 15.06. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 22.06. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
- Monday 29.06. 10:00 - 11:30 ZSU - USZ II, Multimediaraum 2.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Homeworks, interim tests, final test-) homeworks (20%)
-) theoretical knowledge (20%)
-) Final test as individual work (60%, can be repeated in any case) - min. 36 out of 60 points; 30 - 35.99 points: Overall grade -1; < 30 points: Test must be repeated)The entire completion of tasks by students must take place by the following April 30th for courses with continous assessment in the winter semester, and by September 30th at the latest for those in the summer semester. Students who did not sign out from the course are to be assessed. In the case of a negative assessment, an examination before a committee is not permitted; the course must be repeated. Legal source: Statutes of the University of Vienna §10 (4, 5, 6).You are expressly pointed out that if a result was obtained by fraudulent means (e.g. copying, plagiarism, use of unauthorized aids, forgeries, ghostwriting, etc.), the entire PI-LV is considered cheated and counts as a trial. (Entry in U: SPACE: X = not assessed).
-) theoretical knowledge (20%)
-) Final test as individual work (60%, can be repeated in any case) - min. 36 out of 60 points; 30 - 35.99 points: Overall grade -1; < 30 points: Test must be repeated)The entire completion of tasks by students must take place by the following April 30th for courses with continous assessment in the winter semester, and by September 30th at the latest for those in the summer semester. Students who did not sign out from the course are to be assessed. In the case of a negative assessment, an examination before a committee is not permitted; the course must be repeated. Legal source: Statutes of the University of Vienna §10 (4, 5, 6).You are expressly pointed out that if a result was obtained by fraudulent means (e.g. copying, plagiarism, use of unauthorized aids, forgeries, ghostwriting, etc.), the entire PI-LV is considered cheated and counts as a trial. (Entry in U: SPACE: X = not assessed).
Minimum requirements and assessment criteria
Attendance is compulsory (at least 75% of the units).The minimum requirement for a positive assessment is 60% of the total points.Grading:
Insufficient (5): <60%
Sufficient (4): 60-70%
Satisfactory (3): 71-80%
Good (2): 81-90%
Very good (1): 91-100%
Insufficient (5): <60%
Sufficient (4): 60-70%
Satisfactory (3): 71-80%
Good (2): 81-90%
Very good (1): 91-100%
Examination topics
Slides and materials as provided in the seminar
Reading list
Field, A. (2013). Discovering statistics using IBM SPSS statistics, 4. Aufl., SAGE
O'Donoghue, P. (2012). Statistics for Sport and Exercise Studies: An Introduction, Routledge
Hopkins, W.G. (2013). A new view of statistics. http://www.sportsci.org/resource/stats/
O'Donoghue, P. (2012). Statistics for Sport and Exercise Studies: An Introduction, Routledge
Hopkins, W.G. (2013). A new view of statistics. http://www.sportsci.org/resource/stats/
Association in the course directory
MSC.III
Last modified: Mo 27.07.2026 09:28
- confident application of quantitative methods within empirical research
- competence to interpret statistical parameters in Sport Scientific research articles
- competecne for an independent analyses and presentation of empirical dataContents:
- Statistics programme JASP or Python
- Statistical methods (descriptive statistics, interference statistics, correlation/regression)
- Statistical methods in the context of the research process (study planning, analysis and interpretation)Methods:
- independent and guided PC work