Statistical Modelling 8 (2008), 243–261

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

Downloads:

Example data in zipped archive.


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