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Item exposure control for multidimensional computer adaptive testing under maximum likelihood and expected a

Alan R Huebner1, Chun Wang2, Kari Quinlan3

  • 1University of Notre Dame, 153 Hurley Hall, Notre Dame, IN, 46556, USA. Alan.Huebner.10@nd.edu.

Behavior Research Methods
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Summary
This summary is machine-generated.

This study enhances item exposure control in multidimensional computer adaptive testing by combining stratification with the item eligibility method. The new approach effectively limits item overexposure while maintaining measurement accuracy.

Keywords:
EAPExposure controlItem selectionMLEMultidimensional computerized adaptive test

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Area of Science:

  • Psychometrics
  • Educational Measurement
  • Computerized Adaptive Testing

Background:

  • Item overexposure is a challenge in computer adaptive testing (CAT).
  • Item bank stratification is used but does not guarantee against overexposure.
  • Multidimensional CAT (MDCAT) presents unique item exposure control challenges.

Purpose of the Study:

  • To propose an enhanced item exposure control method for MDCAT.
  • To combine item bank stratification with the item eligibility method.
  • To compare Maximum Likelihood Estimation (MLE) and Expected A Posteriori (EAP) ability estimation in MDCAT.

Main Methods:

  • A simulation study was conducted to evaluate the proposed method.
  • The enhanced stratification method was compared against existing techniques.
  • MLE and EAP estimation methods were compared for accuracy and precision.

Main Results:

  • The proposed method effectively suppressed maximum item exposure rates.
  • Measurement accuracy and precision showed minimal loss with the new method.
  • Expected A Posteriori (EAP) estimation yielded smaller mean squared errors than Maximum Likelihood Estimation (MLE).

Conclusions:

  • Combining stratification and item eligibility is an effective strategy for controlling item exposure in MDCAT.
  • The proposed method offers a robust solution for item overexposure in adaptive testing.
  • EAP estimation is preferable to MLE for ability estimation in MDCAT due to better precision.