Universität Wien FIND
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290254 PS Multivariat Regression Analysis (2012W)

Theoretical background and empirical application for geographers and spatial planners

3.00 ECTS (2.00 SWS), SPL 29 - Geographie
Continuous assessment of course work

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Details

Language: German

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 03.10. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 10.10. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 17.10. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 24.10. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 31.10. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 07.11. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 14.11. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 21.11. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 28.11. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 05.12. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 12.12. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 09.01. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 16.01. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 23.01. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528
Wednesday 30.01. 09:00 - 11:00 Seminarraum Geographie NIG 5.OG C0528

Information

Aims, contents and method of the course

Multivariate regression analysis is a widely used quantitative method in the social sciences. It is a very flexible tool which can be applied to model very different kind of interesting questions.
The aim of the lecture is to provide the students with a solid understanding of the basic principles and theoretical underpinnings of multivariate regression analysis with a special focus on geographical applications. The alternation of theoretically and more applied lectures builds the basic organizational principle of the course. An emphasis is placed upon intuitive understanding without neglect of basic mathematical and statistical derivations. We will use standard software packages such as Excel, R or Stata.

Assessment and permitted materials

Minimum requirements and assessment criteria

Examination topics

Reading list


Association in the course directory

(MG-W5-PI) (MR1-PI) (B11-8) (L2-FW)

Last modified: Mo 07.09.2020 15:42