Observed Score Equating Using the Random Groups Design

  • Michael J. Kolen
  • Robert L. Brennan
Part of the Springer Series in Statistics book series (SSS)


As was stressed in Chapter 1, the same specifications property is an essential property of equating, which means that the forms to be equated must be built to the same content and statistical specifications. We also stressed that the symmetry property is essential for any equating relationship. The focus of the present chapter is on methods that are designed to achieve the observed score equating property, along with the same specifications and symmetry properties. As was described in Chapter 1, these observed score equating methods are developed with the goal that, after equating, converted scores on two forms have at least some of the same score distribution characteristics in a population of examinees.


Scale Score Cumulative Distribution Function Linear Equate Percentile Rank Score Transformation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Michael J. Kolen
    • 1
  • Robert L. Brennan
    • 2
  1. 1.American College TestingIowa CityUSA
  2. 2.University of IowaIowa CityUSA

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