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The Generalized DINA Model Framework

Published online by Cambridge University Press:  01 January 2025

Jimmy de la Torre
Jimmy de la Torre*
Affiliation:
Rutgers, The State University of New Jersey
*
Requests for reprints should be sent to Jimmy de la Torre, Department of Educational Psychology, Rutgers, The State University of New Jersey, 10 Seminary Place, New Brunswick, NJ 08901, USA. E-mail: [email protected]
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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 estimation and application of the G-DINA model as a framework using real and simulated data. It concludes by discussing several potential implications of and relevant issues concerning the proposed framework.

Keywords

cognitive diagnosisDINAMMLEparameter estimationWald testmodel comparison
Type
Original Paper
Information
Psychometrika , Volume 76 , Issue 2 , April 2011 , pp. 179 - 199
Copyright
Copyright © 2011 The Psychometric Society

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Footnotes

An erratum to this article can be found at http://dx.doi.org/10.1007/s11336-011-9214-8

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