Multidimensional Unfolding: Determining the Dimensionality of Ranked Preference Data

Abstract

A model is proposed which treats rankings given by a group of judges as representing regions in an isotonic space of dimensionality r . Three possible criteria for estimating lower bound dimensionality are discussed: mutual boundary, cardinality, and the occurrence of transposition groups. Problems associated with each criterion are mentioned.