Data Collection Effects on Nonmetric Multidimensional Scaling Solutions

dc.contributor.authorMarie Adele Humphreys
dc.date.accessioned2016-01-14T19:54:02Z
dc.date.accessioned2016-03-30T15:32:21Z
dc.date.available2016-01-14T19:54:02Z
dc.date.available2016-03-30T15:32:21Z
dc.date.issued1982-12-01
dc.description.abstractThis study investigates four widely used methods of collecting direct similarity judgments for nonmetric multidimensional scaling: Rating Scale, Triads, Rank Order of Pairs, and Conditional Rank Order. The results indicate that: (1) when class structure is very striking in the attributes to be scaled, respondents under the Rating Scale method place significantly more weight on class structure than on continuously varying attributes in determining similarity; (2) nonmetric multidimensional scaling solutions account for a greater proportion of the variance in Rank Order of Pairs data than in data collected by the other methods studied, although the differences are so small that they would have little operational impact; and (3) the four methods do not differ significantly in test-retest reliability.en_US
dc.description.peerreviewYesen_US
dc.description.peerreviewnoteshttps://us.sagepub.com/en-us/nam/manuscript-submission-guidelinesen_US
dc.identifier.citationHumphreys, M. A. (1982). Data Collection Effects on Nonmetric Multidimensional Scaling Solutions. Educational and Psychological Measurement, 42(4), 1005-1022. doi: 10.1177/001316448204200408en_US
dc.identifier.doi10.1177/001316448204200408en_US
dc.identifier.urihttp://hdl.handle.net/11244/25589
dc.language.isoen_USen_US
dc.publisherEducational and Psychological Measurement
dc.rights.requestablefalseen_US
dc.titleData Collection Effects on Nonmetric Multidimensional Scaling Solutionsen_US
dc.typeResearch Articleen_US

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