On the modelling and estimation of attribute rankings with ties in the Thurstonian framework
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AbstractA Thurstonian type approach is applied to modelling ranking data with ties. It uses a non-totally differentiable discriminational process instead of the conventional totally differential one to relate the observed rankings and the underlying subjective values. A Monte Carlo expectation-maximization algorithm is proposed to find the maximum likelihood estimates together with the standard errors of the parameters. The approach is examined numerically by means of an artificial example and a simulation study and is applied to a study of attribute assessment.
All Author(s) ListPoon WY, Xu L
Journal nameBritish Journal of Mathematical and Statistical Psychology
Volume Number62
PublisherWiley: 12 months
Pages507 - 527
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesMathematics; Mathematics, Interdisciplinary Applications; MATHEMATICS, INTERDISCIPLINARY APPLICATIONS; Psychology; Psychology, Experimental; PSYCHOLOGY, EXPERIMENTAL; Psychology, Mathematical; PSYCHOLOGY, MATHEMATICAL; Statistics & Probability; STATISTICS & PROBABILITY

Last updated on 2021-23-01 at 02:02