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Related Experiment Videos

The impact of receiving the same items on consecutive computer adaptive test administrations.

T O'Neill1, M E Lunz, K Thiede

  • 1American Society of Clinical Pathologist, Chicago, USA. oneillt@ada.org

Journal of Applied Measurement
|May 25, 2002
PubMed
Summary

Computerized Adaptive Tests (CAT) can safely re-administer items. Combining adaptive algorithms with latent trait theory protects scores from contamination, even when examinees see repeated questions.

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Area of Science:

  • Psychometrics
  • Educational Measurement
  • Computerized Adaptive Testing

Background:

  • Item exposure in Computerized Adaptive Tests (CAT) is a concern.
  • Re-administration of previously seen items can potentially bias ability estimates.
  • Existing research often imposes constraints against item repetition.

Purpose of the Study:

  • To investigate the impact of item re-exposure in CAT.
  • To evaluate the effectiveness of adaptive algorithms and latent trait theory in mitigating score contamination.
  • To discuss the implications of allowing or prohibiting item repetition.

Main Methods:

  • Simulated CAT sessions were conducted.
  • An adaptive item selection algorithm was employed.
  • Latent trait theory was used for person ability estimation.

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Main Results:

  • The combined use of adaptive algorithms and latent trait theory demonstrated significant protection against score contamination.
  • Ability estimates remained robust despite the presence of repeated items.
  • The risk of score inflation or deflation due to item re-exposure was substantially reduced.

Conclusions:

  • CAT can incorporate item re-administration without compromising score validity.
  • Adaptive item selection and latent trait modeling are effective in managing item exposure effects.
  • The findings support a reconsideration of strict prohibitions against item repetition in CAT.