A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. Specifically, ordinal data are represented by means of a discrete random variable which is a mixture of a Uniform and shifted Binomial random variables. This article proposes a testing procedure based on the Kullback-Leibler divergence in order to compare CUB models and detect similarities in the structure of judgements that raters express on set of items. © Springer-Verlag Berlin Heidelberg 2011.

Assessing Similarity of Rating Distributions by Kullback-Leibler Divergence

CORDUAS, MARCELLA
2011

Abstract

A mixture model for ordinal data modelling (denoted CUB) has been recently proposed in literature. Specifically, ordinal data are represented by means of a discrete random variable which is a mixture of a Uniform and shifted Binomial random variables. This article proposes a testing procedure based on the Kullback-Leibler divergence in order to compare CUB models and detect similarities in the structure of judgements that raters express on set of items. © Springer-Verlag Berlin Heidelberg 2011.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/343626
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