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

Author

Listed:
  • Qingrong Tan

    (Jiangxi Normal University
    Army Medical University)

  • Yan Cai
  • Fen Luo
  • Dongbo Tu

    (Jiangxi Normal University)

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.

Suggested Citation

  • Qingrong Tan & Yan Cai & Fen Luo & Dongbo Tu, 2023. "Development of a High-Accuracy and Effective Online Calibration Method in CD-CAT Based on Gini Index," Journal of Educational and Behavioral Statistics, , vol. 48(1), pages 103-141, February.
    • Handle: RePEc:sae:jedbes:v:48:y:2023:i:1:p:103-141
    DOI: 10.3102/10769986221126741
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    References listed on IDEAS

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