Modelling response error in school effectiveness research

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Abstract

Statistical modelling of school effectiveness in educational research is considered. Variance component models are generally accepted for the analysis of such studies. A shortcoming is that outcome variables are still treated as measured without an error. Unreliable variables produce biases in the estimates of the other model parameters. The variability of the relationships across schools and the effects of schools on students’ outcomes differ substantially when taking the measurement error in the dependent variables of the variance component models into account. The random effects model can be extended to handle measurement error using a response model, leading to a random effects item response theory model. This extended random effects model is in particular suitable when subjects are measured repeatedly on the same outcome at several points in time.
Original languageUndefined
Pages (from-to)138-160
Number of pages22
JournalStatistica Neerlandica
Volume58
Issue number2
DOIs
Publication statusPublished - 2004

Keywords

  • IR-58502
  • METIS-219525

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