Multivariate Methods
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.
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.
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Course structure
The course is given at day time, full time.
Teaching format
The teaching forms consist of lectures and exercises.
Course information
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Course description_fall 2022 (159 Kb)
- Old exams
More course information for registered students in Athena.
Assessment
Examination will be in the form of written and oral examination.
Examiner
Teachers spring 2023
Course coordinators
You will find Johan's reception hours in the link above. If you want to visit Johan outside of his reception hours, you are welcome to e-mail him for an appointment.
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Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course reports
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Contact
If you have questions about the course, please contact the cours coordinator:
Teachers spring 2023
Course coordinators
You will find Johan's reception hours in the link above. If you want to visit Johan outside of his reception hours, you are welcome to e-mail him for an appointment.
If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.
