Predictive power of joint space models constructed with composition techniques

A comparison of different methods of building joint spaces indicates significant differences across both product classes and modeling techniques in the ability to predict preferences for validation brands. Perceptual spaces constructed with discriminant analysis combined with vector representations of preference gave the best predictions across the product clases analyzed. Also, segment-specific perceptual spaces did not, in general, improve the predictive ability of the models studied.