Volume 38, Issue 2
ITEMS Module

Digital Module 05: Diagnostic Measurement—The G‐DINA Framework https://ncme.elevate.commpartners.com

First published: 06 June 2019
Citations: 1

Available in the ITEMS Portal at https://ncme.elevate.commpartners.com

Abstract

In this ITEMS module, we introduce the generalized deterministic inputs, noisy “and” gate (G‐DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G‐DINA model, as well as common special cases, and a review of model‐data fit evaluation practices within this framework. We use the flexible GDINA R package, which is available for free within the R environment and provides a user‐friendly graphical interface in addition to the code‐driven layer. The digital module also contains videos of worked examples, solutions to data activity questions, curated resources, a glossary, and quizzes with diagnostic feedback.

Number of times cited according to CrossRef: 1

  • Data‐driven Q‐matrix validation using a residual‐based statistic in cognitive diagnostic assessment, British Journal of Mathematical and Statistical Psychology, 10.1111/bmsp.12191, 0, 0, (2019).

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