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This study investigates the underlying structure of the listening test of the Singapore–Cambridge General Certificate of Education (GCE) exam, comparing the fit of five cognitive diagnostic assessment models comprising the deterministic input noisy “and” gate (DINA), generalized DINA (G-DINA), deterministic input noisy “or” gate (DINO), higher-order DINA (HO-DINA), and the reduced reparameterized unified model (RRUM). Through model-comparisons, a nine-subskill RRUM model was found to possess the optimal fit. This study shows that students’ listening test performance depends on an array of test-specific facets, such as the ability to eliminate distractors in multiple-choice questions alongside listening-specific subskills such as the ability to make inferences. The validated list of the listening subskills can be employed as a useful guideline to prepare students for the GCE listening test at schools.
Vahid Aryadoust (Fri,) studied this question.