Most discussions of ordinal variables in the sociological literature debate the suitability of linear regression and structural equation methods when some variables are ordinal. Largely ignored in ...

This is a preview. Log in through your library . Abstract A random-effects ordinal regression model is proposed for analysis of clustered or longitudinal ordinal response data. This model is developed ...

In a logistic analysis, the response functions are the logits of the dependent variable. PROC CATMOD can compute three different types of logits with the use of keywords in the RESPONSE statement.

This example illustrates how you can use the GENMOD procedure to fit a model to data measured on an ordinal scale. The following statements create a SAS data set called icecream. The data set contains ...

"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...