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.
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References
1.
Bastow, B. 1991. “A Study of the Factors Affecting Parental Choice of Schools.” Ph.D. dissertation, University of London, Institute of Education.
2.
Goldstein, H.1986. “Multilevel Mixed Model Analysis Using Iterative Generalised Least Squares.”Biometrika73:43-56.
