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ERIC Number: EJ1110974
Record Type: Journal
Publication Date: 2009-Dec
Pages: 30
Abstractor: As Provided
ISSN: EISSN-2330-8516
Assessing Fit of Latent Regression Models. Research Report. ETS RR-09-50
Sinharay, Sandip; Guo, Zhumei; von Davier, Matthias; Veldkamp, Bernard P.
ETS Research Report Series, Dec 2009
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.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: National Assessment of Educational Progress
Grant or Contract Numbers: N/A