Multilevel cross-classified models
- Sociological Methods and Research, ,
Random cross-classifications of units can arise at any level of a data hierarchy. For example, school students may be classified both by the schools they attend and their neighborhoods of residence. This article explores the issues of efficiently modeling such data and gives an example from a study of parental choice of schools.
- Model data structure
- Response types
- Multivariate response model?
- Longitudinal data?
- Substantive discipline
Sets out methodology for cross classifications and explains importance
- Paper submitted by
- Harvey Goldstein, Graduate School of Education, University of Bristol, firstname.lastname@example.org