Premium
Adjusting for Measurement Error in Multilevel Analysis
Author(s) -
Woodhouse Geoffrey,
Yang Min,
Goldstein Harvey,
Rasbash Jon
Publication year - 1996
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.2307/2983168
Subject(s) - error analysis , multilevel model , statistics , computer science , observational error , algorithm , arithmetic , mathematics
SUMMARY 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.