| Uitgebreide vaknaam |
Multivariate Data Analysis |
| Leerdoelen |
Students who have successfully finished this course should be able to apply multivariate analysis methods at an advanced level in (academic) business and economic research;
have solid, state-of-the-art knowledge of potential (mis-)application of a large set of multivariate analysis methods; understand the methodological underpinnings of the methods thoroughly; and compare and judge the suitability of a broad range of multivariate analysis methods for a research problem at hand. |
| Omschrijving |
The course will be lectured in multiple sessions (each on two consecutive days). Each session deals with one or more related topics, such as: Regression Analysis; Analysis of variate roles of third variables in the linear model, Hierarchical linear models; Factor analysis.
Given the learning objectives of this course and the target group, the methodology of these analysis methods will be explained and discussed, but not in extreme technical detail. The focus of the course is on accurate application of the methods. |
| Uren per week |
6 |
| Onderwijsvorm |
-hoorcollege , -interactief hoorcollege
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| Toetsvorm |
-groepsopdracht, -individuele opdracht
(Written exam and assigments)
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| Vaksoort |
master
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| Coördinator |
prof. dr. T.H.A. Bijmolt
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| Docent(en) |
prof. dr. T.H.A. Bijmolt
,dr. F. Eggers
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| Verplichte literatuur |
| Titel |
Auteur |
ISBN |
Prijs |
| Journal articles, to be distributed by the lecturer |
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| TBA |
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| Entreevoorwaarden |
For students in the Research Master in Economics & Business. Students are expected to have extensive knowledge of univariate and bivariate statistics and testing. |
| Opmerkingen |
This course can only be taken by PhD- and Research Master students. As each session of two days fully covers a particular set of topics, individual students can request to take only some of the sessions. In principle, each session is equivalent to 2 ECTS. |
| Opgenomen in |
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