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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.