Universität Wien
Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

350190 SE MSC.III - Quantitative Research Methods - Abt. D (2023S)

3.00 ECTS (2.00 SWS), SPL 35 - Sportwissenschaft
Prüfungsimmanente Lehrveranstaltung
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 20 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Donnerstag 02.03. 13:00 - 16:00 ZSU - USZ II, EDV Raum, 2. Stock
  • Donnerstag 16.03. 13:00 - 16:00 ZSU - USZ II, EDV Raum, 2. Stock
  • Donnerstag 30.03. 13:00 - 16:00 ZSU - USZ II, EDV Raum, 2. Stock
  • Donnerstag 20.04. 13:00 - 16:00 ZSU - USZ II, EDV Raum, 2. Stock
  • Donnerstag 04.05. 13:00 - 16:00 ZSU - USZ II, EDV Raum, 2. Stock
  • Donnerstag 01.06. 13:00 - 16:00 ZSU - USZ II, EDV Raum, 2. Stock
  • Donnerstag 15.06. 13:00 - 16:00 ZSU - USZ II, EDV Raum, 2. Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Goals:
- Confident application of quantitative methods in empirical research
- Competence in interpreting statistical measures in Sport Science-related literature
- Ability to autonomously analyze and present empirical data

Content:
- Use of the SPSS statistical analysis tool
- Statistical methods (descriptive analyses, correlation/regression, and inferential statistics)
- Application of these statistical methods within the research process (study planning, analyses, and interpretation)

Methods:
- Autonomous and guided work at the PC

Art der Leistungskontrolle und erlaubte Hilfsmittel

Course assessment will be based on homework, interim tests, and a final test.

- Homework (20%)
- Theoretical knowledge (20%)
- Final test (60%, can be repeated)

The entire completion of tasks by students must take place by the following April 30th for courses with continuous 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).

Mindestanforderungen und Beurteilungsmaßstab

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%

Prüfungsstoff

Slides and materials as provided in the seminar.

SPSS application (Attention: you would need an SPSS Statistics Software license, https://zid.univie.ac.at/en/software-for-students/user-guides/spss-statistics/).

Literatur

Field, A. (2018). Discovering statistics using IBM SPSS statistics, 5. ed., 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/

Zuordnung im Vorlesungsverzeichnis

MSC.III

Letzte Änderung: Di 14.03.2023 13:09