MULTILEVEL CROSS-CLASSIFIED MODELS

被引：121

作者：

GOLDSTEIN, H

机构：

[1] Institute of education, London

来源：

SOCIOLOGICAL METHODS & RESEARCH | 1994年 / 22卷 / 03期

关键词：

D O I：

10.1177/0049124194022003005

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

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.

引用

页码：364 / 375

页数：12