Abstract
In this paper we briefly review Tversky’s main criticisms of spatial models of similarity. We then recapitulate the contrast model that was proposed to remedy for the shortcomings of spatial models. Next, four data analytic methods that are based on the contrast model are described and illustrated with analyses of a small data set; special attention is given to the interrelations of the models on which the methods are based. Finally, the four data-analytic methods are checked against Tversky’s criticisms of geometric models of similarity and against recent cognitive objections to lire contrast model.