Development of a High-Accuracy and Effective Online Calibration Method in CD-CAT Based on Gini Index

Autor/inn/en	Tan, Qingrong; Cai, Yan; Luo, Fen; Tu, Dongbo
Titel	Development of a High-Accuracy and Effective Online Calibration Method in CD-CAT Based on Gini Index
Quelle	In: Journal of Educational and Behavioral Statistics, 48 (2023) 1, S.103-141 (39 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/10769986221126741
Schlagwörter	Cognitive Tests; Computer Assisted Testing; Adaptive Testing; Accuracy; Test Items; Item Banks; Algorithms; Efficiency; Computation + Suchen Sie Ihr Suchwort? Kognitiver Fähigkeitstest; Test content; Testaufgabe; Algorithm; Algorithmus; Effectiveness; Effektivität; Wirkungsgrad
Abstract	To improve the calibration accuracy and calibration efficiency of cognitive diagnostic computerized adaptive testing (CD-CAT) for new items and, ultimately, contribute to the widespread application of CD-CAT in practice, the current article proposed a Gini-based online calibration method that can simultaneously calibrate the Q-matrix and item parameters of new items. Three simulation studies with simulated and real item banks were conducted to investigate the performance of the proposed method and compare it with the joint estimation algorithm (JEA) and the single-item estimation (SIE) methods. The results indicated that the proposed Gini-based online calibration method yielded higher calibration efficiency than those of the SIE method and outperformed the JEA method on item calibration tasks in terms of both accuracy and efficiency under most experimental conditions. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01