210077 UE M2/Diss: UE Multivariate Statistics (engl.) (2009W)
Continuous assessment of course work
Labels
Persönliche Anmeldung *NUR* über das Fakultätszentrum für Methoden der Sozialwissenschaften via e-mail an office.methodenzentrum@univie.ac.atunter Bekanntgabe der Studienrichtung, des *Studierendenstatus* und des *Titels der Diplomarbeit bzw. der Dissertation*.Anmeldefrist: bis zum 9. Oktober 2009Beschränkte Teilnehmerzahl: max. 32.
Pro Studienrichtung an der SoWi-Fakultät sind je 8 Plätze vorgesehen.BlocklehrveranstaltungWeitere Informationen zur Gastprofessor (z.B. Seminarbeschreibung) finden Sie auf http://methods.univie.ac.at
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Bitte beachten: Der erste Termin ist der 25. Nov., der letzte Termin ist der 1. Dezember 09. Das Seminar besteht aus einem theoretischen und einem praktischen Teil. Beide müssen absolviert werden, um ein Zeugnis zu erhalten.
**************************************************************************Multivariate Statistics LV 210077 November 2009:
1st part 25th until 28th November 2009: theoretical introduction (3 x 4 hours)
Location and time
25th Nov. 13:15 until 16:30 Lecture Room A 212 NIG 2nd floor
27th Nov. 15:00 until 18:15 Lecture Room A 212 (as above)
28th Nov. 9:45 until 13:00 Lecture Room A 228 (Seminarraum 1) NIG 2nd floor2nd part 30th Nov and 1st Dec: practical work with Dr. Ales Ziberna
(2 sessions for 4 hours)
Location and time PC room 2 Campus, 1090, Spitalg 2, Hof 7, Eingang 7.1, 1st floor
Mo. 30th Nov 4 pm until 8 pm and
Tue 1st Dec. 8 am until 12 amDeadline for Registering: 9th October 09
Pro Studienrichtung an der SoWi-Fakultät sind je 8 Plätze vorgesehen.BlocklehrveranstaltungWeitere Informationen zur Gastprofessor (z.B. Seminarbeschreibung) finden Sie auf http://methods.univie.ac.at
**************************************************************************
Bitte beachten: Der erste Termin ist der 25. Nov., der letzte Termin ist der 1. Dezember 09. Das Seminar besteht aus einem theoretischen und einem praktischen Teil. Beide müssen absolviert werden, um ein Zeugnis zu erhalten.
**************************************************************************Multivariate Statistics LV 210077 November 2009:
1st part 25th until 28th November 2009: theoretical introduction (3 x 4 hours)
Location and time
25th Nov. 13:15 until 16:30 Lecture Room A 212 NIG 2nd floor
27th Nov. 15:00 until 18:15 Lecture Room A 212 (as above)
28th Nov. 9:45 until 13:00 Lecture Room A 228 (Seminarraum 1) NIG 2nd floor2nd part 30th Nov and 1st Dec: practical work with Dr. Ales Ziberna
(2 sessions for 4 hours)
Location and time PC room 2 Campus, 1090, Spitalg 2, Hof 7, Eingang 7.1, 1st floor
Mo. 30th Nov 4 pm until 8 pm and
Tue 1st Dec. 8 am until 12 amDeadline for Registering: 9th October 09
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 Tu 15.09.2009 12:50 to Fr 02.10.2009 12:00
- Deregistration possible until Tu 20.10.2009 12:00
Details
max. 8 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Wednesday
25.11.
13:15 - 16:30
Hörsaal 1 (H1), NIG 2.Stock
Friday
27.11.
15:00 - 18:15
Hörsaal 1 (H1), NIG 2.Stock
Saturday
28.11.
09:45 - 13:00
Seminarraum 1 (S1), NIG 2. Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Each student has to write a report in English language on a research
problem, for which they can find some data and analyse the data at least
with one multivariate method. They have to present the research problem,
the analyses, and make an appropriate interpretation of the obtained
results according to the research problem.
problem, for which they can find some data and analyse the data at least
with one multivariate method. They have to present the research problem,
the analyses, and make an appropriate interpretation of the obtained
results according to the research problem.
Minimum requirements and assessment criteria
The purpose of this course is that the participants will be able to choose an appropriate multivariate approach and to analyse the data in a proper way. For this a practical excercise is necessary.It is assumed that the students had a course on statistics (also inferential statistics), that they know some basic linear algebra and that they are able to use the program SPSS.
Examination topics
Multivariate Statistics LV 210077 November 2009:1st part 25th until 28th November 2009: theoretical introduction (3 x 4 hours)
Location and time
25th Nov. 13:15 until 16:30 Lecture Room A 212 NIG 2nd floor
27th Nov. 15:00 until 18:15 Lecture Room A 212 (as above)
28th Nov. 9:45 until 13:00 Lecture Room A 228 NIG 2nd floor2nd part 30th Nov and 1st Dec: practical work with Dr. Ales Ziberna
(2 sessions for 4 hours)
Location and time PC room 2 Campus, 1090, Spitalg 2, Hof 7, Eingang 7.1, 1st floor
Mo. 30th Nov 4 pm until 8 pm and
Tue 1st Dec. 8 am until 12 amDeadline for Registering: 9th October 09
Location and time
25th Nov. 13:15 until 16:30 Lecture Room A 212 NIG 2nd floor
27th Nov. 15:00 until 18:15 Lecture Room A 212 (as above)
28th Nov. 9:45 until 13:00 Lecture Room A 228 NIG 2nd floor2nd part 30th Nov and 1st Dec: practical work with Dr. Ales Ziberna
(2 sessions for 4 hours)
Location and time PC room 2 Campus, 1090, Spitalg 2, Hof 7, Eingang 7.1, 1st floor
Mo. 30th Nov 4 pm until 8 pm and
Tue 1st Dec. 8 am until 12 amDeadline for Registering: 9th October 09
Reading list
There are several books on multivariate analysis, some are mathematically quite demanding. One of them that is written for non-mathematicians and is usually used for similar courses is:R.A. Johnson in D.W. Wichern: Applied multivariate statistical analysis. Prentice Hall, New Jersey, 1988.
Association in the course directory
Last modified: Mo 07.09.2020 15:38
- cluster analysis,
- principal component analysis,
- (exploratory) factor analysis,
- multiple regression,
- canonical correlation analysis, and
- discriminant analysis.Special attention and discussion will be on the assumptions of each approach, the logic of it, how to present the obtained results, and how to interpret them. For each mutivariate approach several examples will be given.The course will be given from November 25 till November 28, 2009. There will be three meetings of 4 hours for lectures. Practical work with the program SPSS will be on November 30 and December 1, 2009.