Assessing fit of latent regression models

Sandip Sinharay, Zhumei Guo, Matthias von Davier, Bernard P. Veldkamp

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The reporting methods used in large-scale educational assessments such as the National Assessment of Educational Progress (NAEP) rely on a latent regression model. There is a lack of research on the assessment of fit of latent regression models. This paper suggests a simulation-based model-fit technique to assess the fit of such models. The technique consists of investigating whether basic statistical summaries are predicted adequately by the latent regression model. Application of the suggested technique to an operational NAEP data set reveals important information regarding the fit of the latent regression model to the data.
Original languageEnglish
PublisherEducational Testing Service
Number of pages25
Publication statusPublished - Dec 1999

Publication series

NameResearch report
PublisherEducational Testing Service
No.ETS RR-09-50


  • p-value
  • NAEP
  • Bootstrap


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