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Multidimensional Computerized Adaptive Testing for Classifying Examinees With Within-Dimensionality.

Maaike M van Groen1, Theo J H M Eggen1,2, Bernard P Veldkamp2

  • 1Cito, Arnhem, The Netherlands.

Applied Psychological Measurement
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Summary
This summary is machine-generated.

This study introduces an adaptive testing method using multidimensional item response theory (MIRT) and the sequential probability ratio test (SPRT). The approach enhances classification accuracy by optimizing item selection for efficient and effective testing.

Keywords:
classification testingcomputerized adaptive testingmultidimensional item response theorymultidimensional item-selection methodssequential probability ratio test

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Area of Science:

  • Psychometrics
  • Educational Measurement
  • Statistical Modeling

Background:

  • Adaptive testing aims to efficiently measure examinee abilities.
  • Multidimensional item response theory (MIRT) models are essential for tests measuring multiple traits.
  • Sequential probability ratio test (SPRT) offers a framework for adaptive decision-making in testing.

Purpose of the Study:

  • To develop and evaluate an adaptive classification method for multidimensional IRT.
  • To introduce novel item-selection strategies for efficient testing.
  • To compare the performance of the proposed method against existing approaches.

Main Methods:

  • Utilized a multidimensional item response theory (MIRT) model.
  • Implemented the sequential probability ratio test (SPRT) for adaptive decision-making.
  • Developed item-selection methods maximizing the determinant of the information matrix.

Main Results:

  • The proposed classification method demonstrated efficiency and effectiveness in simulations.
  • SPRT with MIRT showed comparable characteristics to unidimensional IRT.
  • The new method yielded more accurate classifications for multidimensional data compared to unidimensional approaches.

Conclusions:

  • The developed adaptive classification method is effective for MIRT.
  • Novel item-selection strategies improve testing efficiency and accuracy.
  • SPRT combined with MIRT provides a robust framework for multidimensional adaptive testing.