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350188 SE BA3III - Quantitative Research Methods (2018S)
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 05.02.2018 09:00 to Fr 16.02.2018 12:00
- Registration is open from Th 01.03.2018 09:00 to We 07.03.2018 12:00
- Deregistration possible until Sa 31.03.2018 12:00
Details
max. 30 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Diese LV findet teilgeblockt statt.
- Friday 09.03. 14:00 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
- Friday 16.03. 14:00 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
- Friday 13.04. 14:00 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
- Friday 04.05. 14:00 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
- Friday 18.05. 14:00 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
- Friday 25.05. 14:00 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
- Friday 08.06. 14:00 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Homeworks, interim tests, final test-) 2 homeworks (group work, each 10 points)
-) 2 interim tests (group work, each 10 points)
-) final test (60 points)
-) 2 interim tests (group work, each 10 points)
-) final test (60 points)
Minimum requirements and assessment criteria
Participation at the final test and a minimum of 50 points (10 + 10 + 30 from individual tasks) represent the minimal requirements.
The attendence at 75% of the lectures is obligatory.
The attendence at 75% of the lectures is obligatory.
Examination topics
Slides and materials as provided in the seminar
Reading list
Vorlesungsunterlagen zu BA3I Grundlagen der Statistik (Univ.Prof. DI Dr. Arnold Baca)Andy Field, Discovering statistics using IBM SPSS statistics, Los Angeles, CA : SAGE
Association in the course directory
BA3III
Last modified: Th 11.08.2022 00:27
Contents: Descriptive statistics (univariate, bivariate), Interference statistics, graphical presentation of results
Methods: Lectures plus practicing at the PC (MS Excel and SPSS)