# Ordered categorical responses

Filed under:
Social science

The SOCATT data set is used in the comparison of different software packages for multilevel modelling, conducted by
the Centre for Multilevel Modelling.
The SOCATT data consist of the responses to a set of dichotomous items on a woman's right to have an abortion.
The outcome variable (
where

*y*) is a score constructed from these items ranging from 1 to 7, with a higher score corresponding to stronger support for abortion. Each of 264 respondents was asked the same set of questions on four occasions, 1983-1986, and_{ij}*y*denotes the response from individual_{ij}*i*in year*j*. We consider one categorical covariate (religion) with 4 categories. A random intercept ordered logit model was fitted:

logit[ P(

*y*) ] =_{ij}< s*k*+_{s}+ b_{1}x_{i1}+ b_{2}*x_{i2}+ b_{3}*x_{i3}*u*,_{i}*u*~ N(0,

_{i}*s*)

^{2}*x*,_{1i}*x*and_{2i}*x*are dummy variables coding for the different levels of the categorical covariates, and_{3i}*k*are threshold parameters. A full description of the model can be found here: socatt.pdf_{s}