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Detecting Item Preknowledge Using Revisits With Speed and Accuracy

Author

Listed:
  • Onur Demirkaya

    (University of Illinois at Urbana-Champaign)

  • Ummugul Bezirhan

    (Boston College)

  • Jinming Zhang

    (University of Illinois at Urbana-Champaign)

Abstract

Examinees with item preknowledge tend to obtain inflated test scores that undermine test score validity. With the availability of process data collected in computer-based assessments, the research on detecting item preknowledge has progressed on using both item scores and response times. Item revisit patterns of examinees can also be utilized as an additional source of information. This study proposes a new statistic for detecting item preknowledge when compromised items are known by utilizing the hierarchical speed–accuracy revisits model. By simultaneously evaluating abnormal changes in the latent abilities, speeds, and revisit propensities of examinees, the procedure was found to provide greater statistical power and stronger substantive evidence that an examinee had indeed benefited from item preknowledge.

Suggested Citation

  • Onur Demirkaya & Ummugul Bezirhan & Jinming Zhang, 2023. "Detecting Item Preknowledge Using Revisits With Speed and Accuracy," Journal of Educational and Behavioral Statistics, , vol. 48(4), pages 521-542, August.
    • Handle: RePEc:sae:jedbes:v:48:y:2023:i:4:p:521-542
    DOI: 10.3102/10769986231153403
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    References listed on IDEAS

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    1. Edison M. Choe & Jinming Zhang & Hua-Hua Chang, 2018. "Sequential Detection of Compromised Items Using Response Times in Computerized Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 83(3), pages 650-673, September.
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    3. Wim Linden & Fanmin Guo, 2008. "Bayesian Procedures for Identifying Aberrant Response-Time Patterns in Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 73(3), pages 365-384, September.
    4. Wim van der Linden, 2007. "A Hierarchical Framework for Modeling Speed and Accuracy on Test Items," Psychometrika, Springer;The Psychometric Society, vol. 72(3), pages 287-308, September.
    5. Chun Wang & Yi Zheng & Hua-Hua Chang, 2014. "Does Standard Deviation Matter? Using “Standard Deviation” to Quantify Security of Multistage Testing," Psychometrika, Springer;The Psychometric Society, vol. 79(1), pages 154-174, January.
    Full references (including those not matched with items on IDEAS)

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