300041 Introduction to multivariate data analyses (S) (SoSe 2016)
Contents, comment
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Participants of this course will get an overview or/ and refreshment of different possibilities in the analysis of multivariate data. We will start with a short repetition of descriptive statistics before we are going through correlation, cross tabs, variance analysis, different types of regression analysis and models for the detection of structures in the data (factor analysis, cluster analysis).
These statistical methods can be trained with the statistical software STATA within the linked tutorial 300310.
The results of the practical part will be discussed at the beginning from the following session.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
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Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 30-M-Soz-M3a Soziologische Methoden a | Seminar 1 | Study requirement
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Student information |
| Seminar 2 | Study requirement
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| - | Graded examination | Student information | |
| 30-M-Soz-M3b Soziologische Methoden b | Seminar 1 | Study requirement
|
Student information |
| Seminar 2 | Study requirement
|
Student information | |
| - | Graded examination | Student information | |
| 30-M-Soz-M3c Soziologische Methoden c | Seminar 1 | Study requirement
|
Student information |
| Seminar 2 | Study requirement
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Student information | |
| - | Graded examination | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
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- Last update basic details/teaching staff:
- Wednesday, January 20, 2016
- Last update times:
- Tuesday, February 23, 2016
- Last update rooms:
- Tuesday, February 23, 2016
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Sociology
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