Title

Modelling measurement errors and category misclassifications in multilevel models

Publication Date

2008

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.

School/Institute

Learning Sciences Institute Australia

Document Type

Journal Article

Access Rights

ERA Access

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