Ordmet: A general algorithm for constructing all numerical solutions to ordered metric structures
dc.contributor.author | McClelland, Gary H. | en_US |
dc.contributor.author | Coombs, Clyde H. | en_US |
dc.date.accessioned | 2006-09-11T16:24:29Z | |
dc.date.available | 2006-09-11T16:24:29Z | |
dc.date.issued | 1975-09 | en_US |
dc.identifier.citation | McClelland, 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.issn | 1860-0980 | en_US |
dc.identifier.issn | 0033-3123 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45736 | |
dc.description.abstract | The 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.extent | 1333239 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Springer-Verlag; Psychometric Society | en_US |
dc.subject.other | Psychometrics | en_US |
dc.subject.other | Assessment, Testing and Evaluation | en_US |
dc.subject.other | Psychology | en_US |
dc.subject.other | Statistical Theory and Methods | en_US |
dc.subject.other | Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law | en_US |
dc.title | Ordmet: A general algorithm for constructing all numerical solutions to ordered metric structures | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Psychology | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | The University of Michigan, USA | en_US |
dc.contributor.affiliationother | University of Colorado, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45736/1/11336_2005_Article_BF02291758.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF02291758 | en_US |
dc.identifier.source | Psychometrika | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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