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Autor/in | Krass, Iosif A. |
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Titel | Application of Direct Optimization for Item Calibration in Computerized Adaptive Testing. |
Quelle | (1998), (35 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Monographie |
Schlagwörter | Ability; Adaptive Testing; Algorithms; Computer Assisted Testing; Estimation (Mathematics); Online Systems; Test Items |
Abstract | In the process of item calibration for a computerized adaptive test (CAT), many well-established calibrating packages show weakness in the estimation of item parameters. This paper introduces an on-line calibration algorithm based on the convexity of likelihood functions. This package consists of: (1) an algorithm that estimates examinee ability and (2) an algorithm that estimates the parameters for a new item that is seeded into the CAT test. The performance of the new package is comparable to BilogMG, and in some cases exceeds it. The new algorithm belongs to the class of Direct Maximization Aposteriori algorithms. (Contains 9 figures, 2 tables, and 17 references.) (Author/SLD) |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |