Statistical Modelling 8 (2008), 243261
Modelling measurement errors and category misclassifications in multilevel
models
Harvey Goldstein
Graduate School of Education, University of Bristol,
35 Berkeley Square,
Bristol, BS8 1JA
England
eMail:
hgoldstein@btconnect.com
Daphne Kounali
Graduate School of Education, University of Bristol
England
Anthony Robinson
Department of Mathematical Sciences, University of Bath
England
Abstract:
Models are developed to adjust for measurement errors in normally
distributed predictor and response variables and categorical predictors
with misclassification errors. The models allow for a hierarchical data
structure and for correlations among the errors and misclassifications.
Markov Chain Monte Carlo (MCMC) estimation is used and implemented in a
set of MATLAB macros.
Keywords:
multilevel model; measurement errors; misclassification errors; MCMC estimation
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