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Statistical Modelling
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Articles

Modelling measurement errors and category misclassifications in multilevel models

Harvey Goldstein

Daphne Kounali

Graduate School of Education, University of Bristol, England

Anthony Robinson

Department of Mathematical Sciences, University of Bath, England

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.

Key Words: multilevel model • measurement errors • misclassification errors • MCMC estimation

Statistical Modelling, Vol. 8, No. 3, 243-261 (2008)
DOI: 10.1177/1471082X0800800302
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