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350102 SE BA2IV - Quantitative Research Methods (2024W)
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 09.09.2024 09:00 to Mo 23.09.2024 12:00
- Deregistration possible until Th 31.10.2024 12:00
Details
max. 30 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- N Tuesday 08.10. 17:45 - 19:15 ZSU - USZ II, Multimediaraum 2.Stock
- Tuesday 22.10. 17:45 - 19:15 ZSU - USZ II, Multimediaraum 2.Stock
- Tuesday 05.11. 17:45 - 19:15 ZSU - USZ II, Multimediaraum 2.Stock
- Tuesday 19.11. 17:45 - 19:15 ZSU - USZ II, Multimediaraum 2.Stock
- Tuesday 03.12. 17:45 - 19:15 ZSU - USZ II, Multimediaraum 2.Stock
- Tuesday 17.12. 17:45 - 19:15 ZSU - USZ II, Multimediaraum 2.Stock
- Tuesday 07.01. 17:45 - 19:15 Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
Final grade will be based upon:
- Homeworks (20%)
- Theoretical knowledge (20%)
- Final test (60%, can be repeated)All tests will be designed as open-book-exams. The usage of resource materials is explicitly allowed.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 explicitly informed 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).
- Homeworks (20%)
- Theoretical knowledge (20%)
- Final test (60%, can be repeated)All tests will be designed as open-book-exams. The usage of resource materials is explicitly allowed.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 explicitly informed 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
The minimum requirement for a positive assessment is 60% of the total points, with each of the partial tasks being positively assessed.Grading key:
Nicht genügend (5): <60%
Genügend (4): 60-70%
Befriedigend (3): 71-80%
Gut (2): 81-90%
Sehr gut (1): 91-100%Attendance is compulsory (75% of classes).
Nicht genügend (5): <60%
Genügend (4): 60-70%
Befriedigend (3): 71-80%
Gut (2): 81-90%
Sehr gut (1): 91-100%Attendance is compulsory (75% of classes).
Examination topics
Powerpoint slides and materials as provided during the seminarSPSS, Excel applications
Reading list
Field, A. (2018). Discovering statistics using IBM SPSS statistics, 5. Auflage., 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
BA2IV
Last modified: Th 29.08.2024 09:06
Content: Deskriptive statisics (univariate, bivariate), inferential statistics, graphical presentation of results
Methods: Frontal instructions and exercises on the PC (MS Excel, SPSS)