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Rasch Models pp 215-237 | Cite as

The One Parameter Logistic Model

  • Norman D. Verhelst
  • Cees A. W. Glas

Abstract

The One Parameter Logistic Model (OPLM) is an item response model that combines the tractable mathematical properties of the Rasch model with the flexibility of the two-parameter logistic model. In the OPLM, difficulty parameters are estimated and discrimination indices imputed as known constants. Imposing a very mild restriction on these indices makes it possible to apply CML to this model. Moreover, the model is an exponential family which makes it possible to construct easily a large class of statistical goodness-of-fit tests by means of the methods discussed in Chapter 5. In particular, since the discrimination indices are not estimated, but imputed by hypothesis, it is important to test the adequacy of their values. Two i tem-oriented tests which are especially powerful against misspecification of the discrimination indices are discussed in detail. An example is added.

Keywords

Exponential Family Item Parameter Discrimination Index Discrimination Parameter Likelihood Equation 
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-Verlag New York, Inc. 1995

Authors and Affiliations

  • Norman D. Verhelst
  • Cees A. W. Glas
    • 1
  1. 1.National Institute for Educational MeasurementArnhemThe Netherlands

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