In this course, students master multivariate analyses involving latent and random factors. They begin by learning principle components analysis and exploratory factor analysis, before proceeding to study structural equation modelling for both hypothesis testing and confirmatory factor analysis. Finally, they start to use mixed models, and their applications to repeated measures and hierarchical data. Throughout, students focus on acquiring practical skills, by analysing real-world datasets with a variety of software.