Adjusting for Measurement Error in Multilevel Analysis | Zendy

Woodhouse Geoffrey | Zendy; Yang Min | Zendy; Goldstein Harvey | Zendy; Rasbash Jon | Zendy

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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) - observational error , estimator , errors in variables models , statistics , covariance , variance (accounting) , mathematics , multivariate statistics , econometrics , computer science , accounting , business

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.

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