350175 SE BA2IV - Quantitative Research Methods (2020S)
(= ist nur für Studierende des NEUEN Bachelorstudiums SPOWI)
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 Th 13.02.2020 09:50 to Mo 24.02.2020 12:00
- Registration is open from Mo 02.03.2020 09:00 to Fr 06.03.2020 12:00
- Deregistration possible until Tu 31.03.2020 12:00
Details
max. 30 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Monday 02.03. 15:30 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
- Monday 16.03. 15:30 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
- Monday 30.03. 15:30 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
- Monday 27.04. 15:30 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
- Monday 11.05. 15:30 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
- Monday 25.05. 15:30 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
- Monday 08.06. 15:30 - 17:00 ZSU - USZ II, EDV Raum, 2. Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
The overall grade consists of two partial performances:
- Homework (50 Points)
- Final exam (50 Points)
- Homework (50 Points)
- Final exam (50 Points)
Minimum requirements and assessment criteria
- 75 % presence
- Submission of homework
- Positive completion of the final exam
- Achieving at least 55 out of 100 points
- Submission of homework
- Positive completion of the final exam
- Achieving at least 55 out of 100 points
Examination topics
Will be announced in the course
Reading list
Association in the course directory
BA2IV
Last modified: Th 11.08.2022 00:27
- Getting to know quantitative survey and evaluation methods
- Basics of data analysis: descriptive statistics and inferential statistics
- Knowledge of problem-adequate selection of statistical methods
- Introduction to the statistics software SPSSMethods:
- Lectures
- Practical exercises in SPSS
- E-learning (teaching materials, exercises, datasets)