Adjusting for measurement error in multilevel analysis

被引：50

作者：

Woodhouse, G

Yang, M

Goldstein, H

Rasbash, J

机构：

[1] Institute of Education, London

[2] Institute of Education, University of London, London, WC1H 0AL

来源：

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY | 1996年 / 159卷

关键词：

hierarchical data; measurement error covariance; measurement error variance; multilevel model; reliability; variance components;

D O I：

10.2307/2983168

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：

The effects of adjustment for measurement error are illustrated in a two-level analysis of an educational data set. It is shown how estimates and conclusions can vary, depending on the degree of measurement error that is assumed to exist in explanatory variables at level 1 and level 2, and in the response variable. The importance of obtaining satisfactory prior estimates of measurement error variances and covariances, and of correctly adjusting for them during analysis, is demonstrated.

引用

页码：201 / 212

页数：12

共 13 条

[1]

[Anonymous], 1985, ANAL CHANGE MEASUREM

[2] ESTIMATION OF SLOPE AND ANALYSIS OF COVARIANCE WHEN CONCOMITANT VARIABLE IS MEASURED WITH ERROR [J].