Observed-score equating as a test assembly problem

Willem J. van der Linden, Richard M. Luecht

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Abstract

A set of linear conditions on the item response functions is derived that guarantees identical observed-score distributions on two test forms. The conditions can be added as constraints to a linear programming model for test assembly that assembles a new test form to have an observed-score distribution optimally equated to the distribution of the old form. For a well-designed item pool, use of the model results into observed-score pre-equating and prevents the necessity of post hoc equating by a conventional observed-score equating method. An empirical example illustrates the use of the model for an item pool from the Law School Admission Test (LSAT).
Original languageEnglish
Place of PublicationEnschede, the Netherlands
PublisherUniversity of Twente, Faculty Educational Science and Technology
Publication statusPublished - 1997

Publication series

NameOMD-research report
PublisherUniversity of Twente, Faculty of Educational Science and Technology
No.97-05

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Keywords

  • Test Format
  • Linear Programming
  • Equated Scores
  • Item Response Theory
  • IR-103744
  • Test Construction
  • Higher Education
  • Foreign Countries
  • METIS-136525
  • Observation

Cite this

van der Linden, W. J., & Luecht, R. M. (1997). Observed-score equating as a test assembly problem. (OMD-research report; No. 97-05). Enschede, the Netherlands: University of Twente, Faculty Educational Science and Technology.