Multidimensional unfolding: Determining the dimensionality of ranked preference data
A model is proposed which treats rankings given by a group of judges as representing regions in an isotonic space of dimensionalityr. 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.
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