Nonparametric Classification Method for Multiple-Choice Items
in Cognitive Diagnosis
Abstract
A nonparametric classification method for multiple-choice items (MC-NPC) for cognitive diagnosis (CD) is proposed in the study. The preliminary simulation study shows that the MC-NPC method results in higher correct classification rates than the traditional CD methods for dichotomous data and outperforms the MC-DINA model when the samples are small.