Test Equating pp 156-209 | Cite as

Item Response Theory Methods

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

Abstract

The use of item response theory (IRT) in testing applications has grown considerably over the past 15 years. This growth has been reinforced by the many publications in the area (e.g., Baker, 1992a; Hambleton and Swaminathan, 1985; Hambleton et al., 1991; Lord, 1980; Wright and Stone, 1979). Applications of IRT include test development, item banking, differential item functioning, adaptive testing, test equating, and test scaling. A major appeal of IRT is that it provides an integrated psychometric framework for developing and scoring tests. Much of the power of IRT results from it explicitly modeling examinee responses at the item level, whereas, for example, the focus of classical test models and strong true score models is on responses at the level of test scores.

Keywords

Item Response Theory True Score Item Parameter Item Response Theory Model Common Item 
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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