Psychometrika

, Volume 25, Issue 1, pp 27–43 | Cite as

Multidimensional unfolding: Determining the dimensionality of ranked preference data

  • Joseph F. Bennett
  • William L. Hays
Article

Abstract

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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References

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Copyright information

© Psychometric Society 1960

Authors and Affiliations

  • Joseph F. Bennett
    • 1
  • William L. Hays
    • 2
  1. 1.Lincoln LaboratoriesMassachusetts Institute of TechnologyUSA
  2. 2.University of MichiganUSA

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