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Davison, Mark L.; Kim, Se-Kang; Ding, Shuai – 2001
A model for test scores called the profile analysis via multidimensional scaling (PAMS) model is described. The model reparameterizes the linear latent variable model in such a way that the latent variables can be interpreted in terms of profile patterns, rather than factors. The model can serve as the basis for exploratory multidimensional…
Descriptors: Mathematical Models, Multidimensional Scaling, Profiles, Scores
Peer reviewed Peer reviewed
Davison, Mark L. – Psychometrika, 1979
Assuming that subject responses rank order stimuli by preference, statistical methods are presented for testing the hypothesis that responses conform to a unidimensional, qualitative unfolding model and to an a priori stimulus ordering. The model is suitable for the analysis of structure in attitude responses, preference data, and developmental…
Descriptors: Attitude Measures, Developmental Stages, Expectancy Tables, Hypothesis Testing
Peer reviewed Peer reviewed
Davison, Mark L. – Psychometrika, 1976
Proposes a quadratic programming, least squares solution to Carroll's weighted unfolding model with nonnegativity constraints imposed on weights. It can be used to test various hypotheses about the weighted unfolding model with or without constraints. (RC)
Descriptors: Algorithms, Correlation, Goodness of Fit, Hypothesis Testing
Davison, Mark L.; Chang, Yu-Wen – 1992
A two-dimensional, compensatory item response model and a unidimensional model were fitted to the reading and mathematics items in the Woodcock-Johnson Psycho-Educational Battery-Revised for a sample of 1,000 adults aged 20-39 years. Multidimensional information theory predicts that if the unidimensional abilities can be represented as vectors in…
Descriptors: Achievement Tests, Adults, Equations (Mathematics), Error of Measurement