A Local-Influence-Based Diagnostic Approach to a Speeded Item Response Theory Model

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 a...

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Veröffentlicht in:Journal of the Royal Statistical Society. Series C (Applied Statistics). - Blackwell Publishers. - 55(2006), 5, Seite 647-676
1. Verfasser: Goegebeur, Yuri (VerfasserIn)
Weitere Verfasser: De Boeck, Paul, Molenberghs, Geert, del Pino, Guido
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2006
Zugriff auf das übergeordnete Werk:Journal of the Royal Statistical Society. Series C (Applied Statistics)
Schlagworte:Item Response Theory Local Influence Missing Data 'Test Speededness' Mathematics Applied sciences Education Business Information science
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520 |a 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 dropout mechanism is explored. The methodology proposed is applied to the Chilean Sistema de Medición de la Calidad de la Educación mathematics test case-study. 
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