A RANDOM-EFFECTS MODEL FOR ORDERED CATEGORICAL-DATA

This article presents a random-effects model for multivariate and grou ped univariate ordered categorical data. The assumed family of distrib utions for the random effects adopts a wide variety of forms and shape s. The model's likelihood has a closed expression and can be computed without recourse to numerical integration or Gaussian quadrature. A bi variate and a grouped univariate example are used to illustrate the pr oposed model.