Application of optimal designs to item calibration.
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- Record sourced from PubMed, PMID 25188318.
- Also identified by DOI 10.1371/journal.pone.0106747 and PMC identifier PMC2813188.
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Abstract
In computerized adaptive testing (CAT), examinees are presented with various sets of items chosen from a precalibrated item pool. Consequently, the attrition speed of the items is extremely fast, and replenishing the item pool is essential. Therefore, item calibration has become a crucial concern in maintaining item banks. In this study, a two-parameter logistic model is used. We applied optimal designs and adaptive sequential analysis to solve this item calibration problem. The results indicated that the proposed optimal designs are cost effective and time efficient.