Abstract
A general theory for parametric inference in contingency tables is outlined. Estimation of polychoric correlations is seen as a special case of this theory. The asymptotic covariance matrix of the estimated polychoric correlations is derived for the case when the thresholds are estimated from the univariate marginals and the polychoric correlations are estimated from the bivariate marginals for given thresholds. Computational aspects are also discussed.
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The research was supported by the Swedish Council for Research in the Humanities and Social Sciences (HSFR) under the programMultivariate Statistical Analysis. The author thanks a reviewer for pointing out an error in the original version of the paper.
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Jöreskog, K.G. On the estimation of polychoric correlations and their asymptotic covariance matrix. Psychometrika 59, 381–389 (1994). https://doi.org/10.1007/BF02296131
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DOI: https://doi.org/10.1007/BF02296131