Article1986

Maximum Likelihood Estimation of Polyserial Correlations

36 citations0/0 files storedPsychometrika

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Psychometric Methodologies and Testing Statistical Distribution Estimation and Applications Statistical Methods and Bayesian Inference

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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1969Statistical Theories of Mental Test Scores 1969Latent Structure Analysis.1982The Polyserial Correlation Coefficient 1987Maximum Likelihood Estimation of Multivariate Polyserial and Polychoric Correlation Coefficients 1975Estimation of Models with Jointly Dependent Qualitative Variables: A Simultaneous Logit Approach 1955Applications of Correlation Models for Biserial Data

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