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Ordmet: A general algorithm for constructing all numerical solutions to ordered metric structures

dc.contributor.authorMcClelland, Gary H.en_US
dc.contributor.authorCoombs, Clyde H.en_US
dc.date.accessioned2006-09-11T16:24:29Z
dc.date.available2006-09-11T16:24:29Z
dc.date.issued1975-09en_US
dc.identifier.citationMcClelland, Gary H.; Coombs, Clyde H.; (1975). "Ordmet: A general algorithm for constructing all numerical solutions to ordered metric structures." Psychometrika 40(3): 269-290. <http://hdl.handle.net/2027.42/45736>en_US
dc.identifier.issn1860-0980en_US
dc.identifier.issn0033-3123en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45736
dc.description.abstractThe algorithm is applicable to structures such as are obtained from additive conjoint measurement designs, unfolding theory, general Fechnerian scaling, some special types of multidimensional scaling, and ordinal multiple regression. A description is obtained of the space containing all possible numerical representations which can satisfy the structure, the size and shape of which is informative. The Abelson-Tukey maximin r 2 solution is provided.en_US
dc.format.extent1333239 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.otherPsychometricsen_US
dc.subject.otherAssessment, Testing and Evaluationen_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.titleOrdmet: A general algorithm for constructing all numerical solutions to ordered metric structuresen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumThe University of Michigan, USAen_US
dc.contributor.affiliationotherUniversity of Colorado, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45736/1/11336_2005_Article_BF02291758.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF02291758en_US
dc.identifier.sourcePsychometrikaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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