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Detecting Fraudulent Erasures at an Aggregate Level

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  • Sandip Sinharay

    (Educational Testing Service)

Abstract

Wollack, Cohen, and Eckerly suggested the “erasure detection index†(EDI) to detect fraudulent erasures for individual examinees. Wollack and Eckerly extended the EDI to detect fraudulent erasures at the group level. The EDI at the group level was found to be slightly conservative. This article suggests two modifications of the EDI for the group level. The asymptotic null distribution of the two modified indices is proved to be the standard normal distribution. In a simulation study, the modified indices are shown to have Type I error rates close to the nominal level and larger power than the index of Wollack and Eckerly. A real data example is also included.

Suggested Citation

  • Sandip Sinharay, 2018. "Detecting Fraudulent Erasures at an Aggregate Level," Journal of Educational and Behavioral Statistics, , vol. 43(3), pages 286-315, June.
    • Handle: RePEc:sae:jedbes:v:43:y:2018:i:3:p:286-315
    DOI: 10.3102/1076998617739626
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    References listed on IDEAS

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