350084 SE MA1II - SpecializationCourse Quantitative Research Methods (2024S)
Continuous assessment of course work
Labels
Diese LV wird teilgeblockt abgehalten!
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 05.02.2024 09:00 to We 21.02.2024 12:00
- Registration is open from Fr 01.03.2024 09:00 to Fr 08.03.2024 12:00
- Deregistration possible until Su 31.03.2024 12:00
Details
max. 20 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Der Abschlusstest findet am 24.05.2024 statt.
- Friday 08.03. 09:00 - 12:00 ZSU - USZ II, EDV Raum, 2. Stock
- Friday 15.03. 09:00 - 12:00 Digital
- Friday 22.03. 09:00 - 12:00 Digital
- Friday 12.04. 09:00 - 12:00 ZSU - USZ II, EDV Raum, 2. Stock
- Friday 19.04. 09:00 - 12:00 Digital
- Friday 03.05. 09:00 - 12:00 Digital
- Friday 17.05. 09:00 - 12:00 ZSU - USZ II, EDV Raum, 2. Stock
- Friday 24.05. 09:00 - 12:00 ZSU - USZ II, EDV Raum, 2. Stock
Information
Aims, contents and method of the course
Goals:- 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 SPSS- 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
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:
Nicht genügend (5): <60%
Genügend (4): 60-70%
Befriedigend (3): 71-80%
Gut (2): 81-90%
Sehr gut (1): 91-100%
Nicht genügend (5): <60%
Genügend (4): 60-70%
Befriedigend (3): 71-80%
Gut (2): 81-90%
Sehr gut (1): 91-100%
Examination topics
Slides and materials as provided in the seminarSPSS application (Attention: You would need a SPSS Statistics Software licence, https://zid.univie.ac.at/en/software-for-students/user-guides/spss-statistics/)
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: Th 16.05.2024 09:26