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 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 Medicion de la Calidad de la Educacion mathematics test case-study.
item response theory, local influence, missing data, 'test speededness', PARAMETER-ESTIMATION, PERFORMANCE, DEPENDENCE