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Multivariate Methods

  • 7.5 credits

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.

Further course information will appear soon on this page. Until then, information can be found on the department website.

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