Modelling measurement errors and category misclassifications in multilevel models
Goldstein, H., Kounali, D. & Robinson, A. (2008). Modelling measurement errors and category misclassifications in multilevel models. Statistical Modelling, 243-261. India: Sage Publications Ltd.
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.
Institute for Learning Sciences and Teacher Education