Getting obsessed: A further look into multivariate analysis

This chapter discusses interdependence methods of multivariate analysis. It starts by looking at factor analysis as a method for identifying common themes among a set of variables and exploring their underlying structure. Next, it examines principal components analysis as a method for data reduction and highlighted its key differences to factor analysis. Finally, it introduced cluster analysis as a method for grouping cases and illustrates its potential uses.