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Optimal Item Difficulty for the Three-Parameter Normal Ogive Response Model

Published online by Cambridge University Press:  01 January 2025

John H. Wolfe*
Affiliation:
Navy Personnel Research And Development Center
*
Requests for reprints should be sent to J. H. Wolfe, Navy Personnel Research and Development Center, San Diego, Ca 92152.

Abstract

In tailored testing, it is important to determine the optimal difficulty of the next item to present to the examinee. This paper shows that the difference that maximizes information for the three-parameter normal ogive response model is approximately 1.7 times the optimal difference θb for the three-parameter logistic model. Under the normal model, calculation of the optimal difficulty for minimizing the Bayes risk is equivalent to maximizing an associated information function.

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Type
Notes And Comments
Copyright
Copyright © 1981 The Psychometric Society

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