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Modelling measurement errors and category misclassifications in multilevel models

Goldstein, Harvey
; 
Kounali, Daphne
; 
Robinson, Anthony
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Author
Goldstein, Harvey
Kounali, Daphne
Robinson, Anthony
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.
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Date
2008
Type
Journal article
Journal
Statistical Modelling
Book
Volume
Issue
Page Range
243-261
Article Number
ACU Department
Collections
Faculty of Education and Arts - General
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URI
https://hdl.handle.net/20.500.14802/19487
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