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Multidimensional unfolding: Determining the dimensionality of ranked preference data

dc.contributor.authorBennett, Joseph F.en_US
dc.contributor.authorHays, William L.en_US
dc.date.accessioned2006-09-11T16:22:20Z
dc.date.available2006-09-11T16:22:20Z
dc.date.issued1960-03en_US
dc.identifier.citationBennett, Joseph F.; Hays, William L.; (1960). "Multidimensional unfolding: Determining the dimensionality of ranked preference data." Psychometrika 25(1): 27-43. <http://hdl.handle.net/2027.42/45705>en_US
dc.identifier.issn1860-0980en_US
dc.identifier.issn0033-3123en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45705
dc.description.abstractA 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.en_US
dc.format.extent1223370 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlag; Psychometric Societyen_US
dc.subject.otherAssessment, Testing and Evaluationen_US
dc.subject.otherPsychometricsen_US
dc.subject.otherPsychologyen_US
dc.subject.otherStatistical Theory and Methodsen_US
dc.subject.otherStatistics for Social Science, Behavorial Science, Education, Public Policy, and Lawen_US
dc.titleMultidimensional unfolding: Determining the dimensionality of ranked preference dataen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, USAen_US
dc.contributor.affiliationotherLincoln Laboratories, Massachusetts Institute of Technology, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45705/1/11336_2005_Article_BF02288932.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF02288932en_US
dc.identifier.sourcePsychometrikaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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