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

Yuri Goegebeur, Paul De Boeck, Geert Molenberghs and Guido del Pino

Journal of the Royal Statistical Society Series C, 2006, vol. 55, issue 5, 647-676

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.

Date: 2006
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