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Published in:
2014 | OriginalPaper | Chapter
An Item Bank Calibration Method for a Computer Adaptive Test
Authors : Adrianna Kozierkiewicz-Hetmańska, Rafał Poniatowski
Published in: Intelligent Information and Database Systems
Publisher: Springer International Publishing
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Computer adaptive testing is a form of educational measurement that is adaptable to examinee’s proficiency. The usage of a computer adaptive testing brings many benefits but requires creation of a big and a calibrated item bank. The calibration of an item bank made by statistical methods is expensive and time consuming. Therefore, in this paper we worked out an easy item bank calibration method based on experts’ opinions. The proposed algorithm used the Consensus Theory. The researches pointed out that the proposed calibration procedure is efficient. As little as three experts’ opinions were enough to obtain the calibrated item bank where values of items’ parameters estimated by an expert-based method were not statistically different from values of items’ parameter estimated by a statistical calibration method. The statistical calibration method required engaging over 50 persons.