Using response-time constraints in item selection to control for differential speededness in computerized adaptive testing

Willem J. van der Linden, David J. Scrams, Deborah L. Schnipke

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This paper proposes an item selection algorithm that can be used to neutralize the effect of time limits in computer adaptive testing. The method is based on a statistical model for the response-time distributions of the test takers on the items in the pool that is updated each time a new item has been administered. Predictions from the model are used as constraints in a 0-1 linear programming model for constrained adaptive testing that maximizes the accuracy of the ability estimator. The method is demonstrated empirically using an item pool from an operational, large-scale computer adaptive test.
Original languageUndefined
Place of PublicationNewton, PA, USA
PublisherLaw School Admission Council
Publication statusPublished - 2003

Publication series

NameLSAC research report series
PublisherLaw School Admission Council


  • Computer Assisted Testing
  • Test Items
  • Responses
  • Selection
  • Linear Programming
  • Timed Tests
  • Algorithms
  • Adaptive Testing
  • IR-103566

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