Multilevel cross-classified models

Authors
Goldstein, H
Year
1994
Journal
Sociological Methods and Research, ,
Abstract

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?
Yes
Longitudinal data?
No
Substantive discipline
Impact

Sets out methodology for cross classifications and explains importance

Paper submitted by
Harvey Goldstein, Graduate School of Education, University of Bristol, h.goldstein@bristol.ac.uk
Edit this page