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dc.contributor.authorJoseph Lee Rodgers
dc.date.accessioned2016-01-14T19:52:56Z
dc.date.accessioned2016-03-30T15:34:08Z
dc.date.available2016-01-14T19:52:56Z
dc.date.available2016-03-30T15:34:08Z
dc.date.issued1985-09-01
dc.identifier.citationRodgers, J. L. (1985). Statistical Tests of Group Differences in ALSCAL-Derived Subject Weights: Some Monte Carlo Results. Applied Psychological Measurement, 9(3), 241-248. doi: 10.1177/014662168500900302en_US
dc.identifier.urihttps://hdl.handle.net/11244/24975
dc.description.abstractSeveral techniques to test for group differences in weighted multidimensional scaling (MDS) subject weights have recently been proposed. The present study presents monte carlo results to evaluate the op erating characteristics of two of these with ALSCAL- derived subject weights. The first uses the analysis of angular variation (ANAVA) on raw subject weights. The second applies the analysis of variance (ANOVA) to the flattened subject weights generated by ALSCAL. The ANOVA on flattened weights was less affected by the presence of error and by distortions caused by ALSCAL'S normalization routine than was the ANAVA.en_US
dc.language.isoen_USen_US
dc.publisherApplied Psychological Measurement
dc.titleStatistical Tests of Group Differences in ALSCAL-Derived Subject Weights: Some Monte Carlo Resultsen_US
dc.typeResearch Articleen_US
dc.description.peerreviewYesen_US
dc.description.peerreviewnoteshttps://us.sagepub.com/en-us/nam/manuscript-submission-guidelinesen_US
dc.identifier.doi10.1177/014662168500900302en_US
dc.rights.requestablefalseen_US


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