Adjusting for Measurement Error in Multilevel Analysis

@inproceedings{Woodhouse1996AdjustingFM,
  title={Adjusting for Measurement Error in Multilevel Analysis},
  author={Geoffrey D. Woodhouse and Min Yang and Harvey Goldstein and Jonathan R Rasbash},
  year={1996}
}
Measurements in educational research are often subject to error. Where it is desired to base conclusions on underlying characteristics rather than on the raw measurements of them, it is necessary to adjust for measurement error in the modelling process. In this thesis it is shown how the classical model for measurement error may be extended to model the more complex structures of error variance and covariance that typically occur in multilevel models, particularly multivariate multilevel models… CONTINUE READING

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