An Inequality for Correlations in Unidimensional Monotone Latent Variable Models for Binary Variables

Jules Ellis ()

Psychometrika, 2014, vol. 79, issue 2, 303-316

Abstract: It is shown that a unidimensional monotone latent variable model for binary items implies a restriction on the relative sizes of item correlations: The negative logarithm of the correlations satisfies the triangle inequality. This inequality is not implied by the condition that the correlations are nonnegative, the criterion that coefficient H exceeds 0.30, or manifest monotonicity. The inequality implies both a lower bound and an upper bound for each correlation between two items, based on the correlations of those two items with every possible third item. It is discussed how this can be used in Mokken’s (A theory and procedure of scale-analysis, Mouton, The Hague, 1971 ) scale analysis. Copyright The Psychometric Society 2014

Keywords: nonparametric IRT; conditional association; partial correlation; monotonicity; Mokken scale analysis (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/s11336-013-9341-5

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