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ERIC Number: EJ922104
Record Type: Journal
Publication Date: 2006-Jun
Pages: 21
Abstractor: As Provided
Reference Count: 16
ISBN: N/A
ISSN: ISSN-0033-3123
Item Response Theory with Estimation of the Latent Population Distribution Using Spline-Based Densities
Woods, Carol M.; Thissen, David
Psychometrika, v71 n2 p281-301 Jun 2006
The purpose of this paper is to introduce a new method for fitting item response theory models with the latent population distribution estimated from the data using splines. A spline-based density estimation system provides a flexible alternative to existing procedures that use a normal distribution, or a different functional form, for the population distribution. A simulation study shows that the new procedure is feasible in practice, and that when the latent distribution is not well approximated as normal, two-parameter logistic (2PL) item parameter estimates and expected a posteriori scores (EAPs) can be improved over what they would be with the normal model. An example with real data compares the new method and the extant empirical histogram approach.
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A