Implementing content constraints in alpha-stratified adaptive testing using a shadow test approach

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Abstract

The methods of alpha-stratified adaptive testing and constrained adaptive testing with shadow tests are combined in this study. The advantages are twofold. First, application of the shadow test allows the researcher to implement any type of constraint on item selection in alpha-stratified adaptive testing. Second, the result yields a simple set of constraints that can be used in any application of the shadow test approach to reduce overexposure and underexposure of the items in the pool. An example from the Law School Admission Test is used to demonstrate the advantages.
Original languageUndefined
PublisherLaw School Admission Council
Publication statusPublished - 2001

Publication series

NameLSAC research report series
PublisherLaw School Admission Council
No.01-01

Keywords

  • Adaptive Testing
  • Test Items
  • Item Banks
  • Selection
  • IR-103571
  • Computer Assisted Testing

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