Multivariate Methods, 7.5 credits

About this education

The course covers different multivariate methods with special focus on principal components, factor analysis, discriminant analysis, logistic regression and cluster analysis. The methods are mainly illustrated by applications in behavioural science, making the course especially interesting for students aimed at qualitative research. The course also covers how software packages for multivariate methods can be used.

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