Abstract
Abstract The G-DINA ( generalized deterministic inputs, noisy “ and ” gate ) model is a generalization of the DINA model with more relaxed assumptions. In its saturated form, the G-DINA model is equivalent to other general models for cognitive diagnosis based on alternative link functions. When appropriate constraints are applied, several commonly used cognitive diagnosis models (CDMs) can be shown to be special cases of the general models. In addition to model formulation, the G-DINA model as a general CDM framework includes a component for item-by-item model estimation based on design and weight matrices, and a component for item-by-item model comparison based on the Wald test. The paper illustrates the…
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Topics
Keywords
- Generalization
- Component (thermodynamics)
- Item response theory
- Computer science
- Mathematics
- Applied mathematics
- Algorithm
- Statistics
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