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350122 UE Application of Quantitative Research Methods (2020S)
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 10.02.2020 09:00 to Mo 24.02.2020 12:00
- Deregistration possible until Tu 31.03.2020 12:00
Details
max. 25 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Die erste Einheit findet im Gruppenraum 1. Stock statt.
-
Tuesday
10.03.
13:00 - 14:30
ZSU - USZ II, EDV Raum, 2. Stock
ZSU - USZ II, Gruppenraum, 1.Stock -
Tuesday
24.03.
13:00 - 14:30
ZSU - USZ II, EDV Raum, 2. Stock
ZSU - USZ II, Gruppenraum, 1.Stock -
Tuesday
21.04.
13:00 - 14:30
ZSU - USZ II, EDV Raum, 2. Stock
ZSU - USZ II, Gruppenraum, 1.Stock -
Tuesday
05.05.
13:00 - 14:30
ZSU - USZ II, EDV Raum, 2. Stock
ZSU - USZ II, Gruppenraum, 1.Stock -
Tuesday
19.05.
13:00 - 14:30
ZSU - USZ II, EDV Raum, 2. Stock
ZSU - USZ II, Gruppenraum, 1.Stock -
Tuesday
16.06.
13:00 - 14:30
ZSU - USZ II, EDV Raum, 2. Stock
ZSU - USZ II, Gruppenraum, 1.Stock -
Tuesday
30.06.
13:00 - 14:30
ZSU - USZ II, EDV Raum, 2. Stock
ZSU - USZ II, Gruppenraum, 1.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Grade results from:
Attendence (mind. 75%)
Homework and Participation
Exam on the basic concepts of quantitative research methods
Final exam on application of SPSS
Attendence (mind. 75%)
Homework and Participation
Exam on the basic concepts of quantitative research methods
Final exam on application of SPSS
Minimum requirements and assessment criteria
30 points Exam on the basic concepts of quantitative research methods
20 points participation in course and homework
50 points Final exam on application of SPSS60 points represent the minimal requirements.
The attendence at 75% of the lectures is obligatory.
20 points participation in course and homework
50 points Final exam on application of SPSS60 points represent the minimal requirements.
The attendence at 75% of the lectures is obligatory.
Examination topics
Will be announced in the course
Reading list
Andy Field, Discovering statistics using IBM SPSS statistics, Los Angeles, CA: SAGE.
Association in the course directory
Last modified: Th 11.08.2022 00:26
Contents: Descriptive statistics (univariate, bivariate), Interference statistics, graphical presentation of results
Methods: Lectures plus practicing at the PC (MS Excel and SPSS)
Teaching methods: theoretical inputs, exercises, exercises in spss, E-Learning (Moodle)