A multiple objective test assembly approach for exposure control problems in computerized adaptive testing

  • Veldkamp B
  • Verschoor A
  • Eggen T
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Abstract

Over exposure and under exposure of items in the bank are serious
problems in operational computerized adaptive testing (CAT) systems.
These exposure problems might result in item compromise, or point
at a waste of investments. The exposure control problem can be viewed
as a test assembly problem with multiple objectives. Information
in the test is maximized, item compromise is minimized, and pool
usage in optimized. In this paper, a multiple objective method is
developed to deal with both types of exposure problems. In this method,
exposure control parameters based on observed exposure rates are
implemented as weights for the information in the item selection
procedure. The method does not need time consuming simulation studies,
and it can be implemented conditional on ability level. The method
is compared with Sympson Hetter method for exposure control, with
the Progressive method and with alpha-stratified testing. The results
show that the method is successful in dealing with both kinds of
exposure problems, at the costs of an increased RMSE, while the bias
remains comparable for all methods.

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  • PUI: 359095490
  • ISSN: 02112159
  • SCOPUS: 2-s2.0-77954136655
  • SGR: 77954136655

Authors

  • Bernard P. Veldkamp

  • Angela J. Verschoor

  • Theo J.H.M. Eggen

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