7.5 credits cr.
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The course gives you knowledge about different multivariate methods. The course also covers how software packages for multivariate methods can be used. The methods are mainly illustrated by applications in behavioural science, making the course especially interesting for students aimed at quantitative research.
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This course provides an introduction to several important multivariate methods with special focus on principal components, factor analysis, discriminant analysis, logistic regression and cluster analysis. Basics of matrix algebra required for the course are introduced. You will use the statistical software R in laboratory sessions to exemplify and complement lecture material.
The course is given at day time, full time.
The teaching forms consist of lectures and exercises.
- Schedule spring 2021
- Old exams
- Course Description Multivariate Methods Spring 2021 (271 Kb)
- Course literature (71 Kb)
More course information for registered students in Athena.
Examination will be in the form of written and oral examination.
Teacher spring 2021
If you have questions about the course, please contact the cours coordinator:
Teacher spring 2021