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 out.by 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 responses.as not-administered rather than as wrong, and use a large sample size to ensure the accuracy of the screening.tools such as the displacement index and the robust-z statistic during equating. Accessed 11,258 times on https://pareonline.net 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.
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"How to Treat Omitted Responses in Rasch Model-Based Equating,"
Practical Assessment, Research, and Evaluation: Vol. 14
, Article 1.
Available at: https://scholarworks.umass.edu/pare/vol14/iss1/1