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A local‐influence‐based diagnostic approach to a speeded item response theory model

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  • Yuri Goegebeur
  • Paul De Boeck
  • Geert Molenberghs
  • Guido del Pino

Abstract

Summary. An item response theory model for dealing with omitted responses in a test is proposed. In this model formulation, non‐response does not only depend on an examinee's ability and on item difficulty, but additionally also on ‘test speededness’. Using a local‐influence‐based diagnostic approach, the sensitivity of the model regarding assumptions concerning the drop‐out mechanism is explored. The methodology proposed is applied to the Chilean Sistema de Medición de la Calidad de la Educación mathematics test case‐study.

Suggested Citation

  • Yuri Goegebeur & Paul De Boeck & Geert Molenberghs & Guido del Pino, 2006. "A local‐influence‐based diagnostic approach to a speeded item response theory model," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(5), pages 647-676, November.
    • Handle: RePEc:bla:jorssc:v:55:y:2006:i:5:p:647-676
    DOI: 10.1111/j.1467-9876.2006.00558.x
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    Cited by:

    1. Yuri Goegebeur & Paul Boeck & James Wollack & Allan Cohen, 2008. "A Speeded Item Response Model with Gradual Process Change," Psychometrika, Springer;The Psychometric Society, vol. 73(1), pages 65-87, March.

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