Abstract
An elaboration of a psychometric model for rated data, which belongs to the class of Rasch models, is shown to provide a model with two parameters, one characterising location and one characterising dispersion. The later parameter, derived from the idea of a unit of scale, is also shown to reflect the shape of rating distributions, ranging from unimodal, through uniform, and then to U-shaped distributions. A brief case is made that when a rating distribution is treated as a random error distribution, then the distribution should be unimodal.
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References
Andersen, E. B. Sufficient statistics and latent trait models.Psychometrika, 1977,42, 69–81.
Andrich, D. A rating formulation for ordered response categories.Psychometrika, 1978,43, 561–573.
Bock, R. D.Multivariate statistical methods in behavioral research. New York: McGraw Hill, 1975.
Bradley, R. A., Katti, S. K. and Coons, I. J. Optimal scaling for ordered categories.Psychometrika, 1962,27, 355–374.
Edwards, A. L. and Thurstone, L.L. An internal consistency check for scale values determined by the method of successive intervals.Psychometrika, 1952,17, 169–180.
Guttman, L. The principle components of scalable attitudes. In Lazarsfeld, P. F. (Ed.),Mathematical thinking in the social sciences. Glencoe, Illinois: The Free Press, 1954.
Haberman, S. J. Log-linear models for frequency tables with ordered classifications.Biometrics, 1974,30, 589–600.
McCullagh, P. Regression models for ordinal data.Journal of the Royal Statistical Society, B, 1980,2, 109–142.
Rasch, G.Probabilistic models for some intelligence and attainment tests, expanded edition. Chicago: The University of Chicago Press, 1980.
Samejima, F. Estimation of latent ability using a response pattern of graded scores.Psychometric Monograph, 1969,34(2, whole No. 17).
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Andrich, D. An extension of the rasch model for ratings providing both location and dispersion parameters. Psychometrika 47, 105–113 (1982). https://doi.org/10.1007/BF02293856
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DOI: https://doi.org/10.1007/BF02293856