Handbook

Much of the research carried out by Honours students in fourth year requires the analysis of multivariate data from experimental and non-experimental designs. This course deals with various forms of multivariate analysesincluding multiple regression analysis (MRA), which allows for correlated independent variables, and therefore provides the basis for a general data-analytic system, principal components analysis (PCA) and factor analysis (FA), which make use of correlations to account for the structure of relationships within a set of variables, and multivariate analysis of variance (MANOVA), which extends the application of ANOVA models to multivariate data and within-subjects designs.
The core content of the course will be delivered via lectures and tutorials in a live setting (online or face-to-face), with all supplementary course materials including activities and demonstrations made available online.