To
evaluate the ability of examinees, the item response theory (IRT)
gives us useful information. The IRT evaluates the examinee's ability
and provides the item characteristics. Recently, we have configured
the adaptive online testing using the IRT as one of the CBT (Computer
Based Testing) methods, and we have been able to obtain the examinee's
ability rating in short testing time. However, when the number
of items is too small, we observed the bias of estimates for the
ability parameter. In this study, we have performed simulation
studies under various conditions, and have known such biases. To
circumvent the biases due to the Bayes procedure, we have proposes
a simple method to reduce the biases. |
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item
response theory, adaptive test, item selection, item bank,
ability estimate, bias |
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