A Comparison of Scoring Options for Omitted and Not-Reached Items through the Recovery of IRT Parameters When Utilizing the Rasch Model and Joint Maximum Likelihood Estimation [electronic resource] / Michael Custer, Sid Sharairi and David Swift.

This paper utilized the Rasch model and Joint Maximum Likelihood Estimation to study different scoring options for omitted and not-reached items. Three scoring treatments were studied. The first method treated omitted and not-reached items as "ignorable/blank". The second treatment, scored...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Authors:	Custer, Michael, Sharairi, Sid (Author), Swift, David (Author)
Format:	Electronic eBook
Language:	English
Published:	[S.l.] : Distributed by ERIC Clearinghouse, 2012.
Subjects:	Scoring. Test Items. Item Response Theory. Maximum Likelihood Statistics. Computation. Comparative Analysis.