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Peer reviewedKim, Chulwan; Rangaswamy, Arvind; DeSarbo, Wayne S. – Multivariate Behavioral Research, 1999
Presents an approach to multidimensional unfolding that reduces the occurrence of degenerate solutions and conducts a Monte Carlo study to demonstrate the superiority of the new method to the ALSCAL and KYST nonmetric procedures for student preference data. (SLD)
Descriptors: Monte Carlo Methods, Multidimensional Scaling, Problem Solving, Simulation
Direct linkMaydeu-Olivares, Albert – Multivariate Behavioral Research, 2005
Chernyshenko, Stark, Chan, Drasgow, and Williams (2001) investigated the fit of Samejima's logistic graded model and Levine's non-parametric MFS model to the scales of two personality questionnaires and found that the graded model did not fit well. We attribute the poor fit of the graded model to small amounts of multidimensionality present in…
Descriptors: Models, Social Problems, Problem Solving, Personality Traits
Peer reviewedWeinberg, Sharon Lawner; And Others – Multivariate Behavioral Research, 1993
Recently developed multidimensional-scaling methodology was used to explore the underlying structure of moral reasoning responses to 12 moral dilemmas by 111 graduate students in law and social work and to relate that structure to individual differences. Results indicate that moral reasoning must be viewed from multidimensional and interactional…
Descriptors: Decision Making, Ethics, Females, Graduate Students
