Abstract
This paper considers a multivariate normal model with one of the component variables observable only in polytomous form. The maximum likelihood approach is used for estimation of the parameters in the model. The Newton-Raphson algorithm is implemented to obtain the solution of the problem. Examples based on real and simulated data are reported.
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The research of the first author was supported in part by a research grant (DA01070) from the US Public Health Service. We are indebted to the referees and the editor for some very valuable comments and suggestions.
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Lee, SY., Poon, WY. Maximum likelihood estimation of polyserial correlations. Psychometrika 51, 113–121 (1986). https://doi.org/10.1007/BF02294004
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DOI: https://doi.org/10.1007/BF02294004