Multilevel Cross-Classified Models
- 1 February 1994
- journal article
- research article
- Published by SAGE Publications in Sociological Methods & Research
- Vol. 22 (3) , 364-375
- https://doi.org/10.1177/0049124194022003005
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.Keywords
This publication has 2 references indexed in Scilit:
- Multilevel covariance component modelsBiometrika, 1987
- Multilevel mixed linear model analysis using iterative generalized least squaresBiometrika, 1986