A random-effects ordinal regression model is proposed for analysis of clustered or longitudinal ordinal response data. This model is developed for both the probit and logistic response functions.

This indicates that the proportional odds model adequately fits the data. The positive value (1.6128) for the parameter estimate for Additive1 indicates a tendency towards the lower-numbered ...

Introduction: We present an ordinal logistic regression model for identification of items with differential item functioning (DIF) and apply this model to a Mini-Mental State Examination (MMSE) ...

As in the previous example and in Hedeker and Gibbons (1994), assume an underlying latent continuous variable, here with the form where i indexes patient and j indexes the time period, gi indicates ...

Instead, we develop a multivariate model for ordinal trait analysis and implement an EM algorithm for parameter estimation.