Multilevel Cross-Classified Models

Harvey Goldstein
Additional contact information
Harvey Goldstein: Institute of Education, London

Sociological Methods & Research, 1994, vol. 22, issue 3, 364-375

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.

Date: 1994
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0049124194022003005 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:22:y:1994:i:3:p:364-375

DOI: 10.1177/0049124194022003005

Access Statistics for this article

More articles in Sociological Methods & Research
Bibliographic data for series maintained by SAGE Publications ().