This course introduces a range of methods for exploring and analysing multivariate data, starting with graphical/exploratory methods, and including cluster analysis, discriminant function analysis, principal components analysis and factor analysis.

For simplicity, the course makes use of the jamovi software for demonstration and exercises.  However, if preferred, any other advanced statistical software can be used (e.g. SPSS or R).

See our full range of courses (and options for bespoke courses) at https://go.herts.ac.uk/sscu or contact the course organiser, Professor Neil Spencer, at statistics@herts.ac.uk.

To make the most of this course, delegates should already have a working knowledge of multiple regression and analysis of variance (ANOVA).  Though not essential, it is recommended that delegates first attend either the “Survey Design & Analysis” stream of courses (see here and here) or “Quantitative Data Analysis” stream of courses (see here and here).

There is no formal assessment as part of this course.