How to Treat Omitted Responses in Rasch Model-Based Equating

  • Seon-Hi Shin


This study investigated the impact of the coding scheme on IRT-based true score equating under a.common-item nonequivalent groups design. Two different coding schemes under investigation were carried assigning either a zero or a blank to a missing item response in the equating data. The investigation involved.a comparison study using actual large scale data and then Monte Carlo simulations for a systematic inspection on.the topic. The recommendations on the basis of the findings of the study were made to treat omitted not-administered rather than as wrong, and use a large sample size to ensure the accuracy of the such as the displacement index and the robust-z statistic during equating. Accessed 11,258 times on from January 26, 2009 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.

Keywords: Test Construction

How to Cite:

Shin, S., (2009) “How to Treat Omitted Responses in Rasch Model-Based Equating”, Practical Assessment, Research, and Evaluation 14(1): 1. doi:

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