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

Research output: Contribution to journal › Comment/debate › peer-review

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.

Original languageEnglish (US)
Pages (from-to)114-115
Number of pages2
JournalEducational Measurement: Issues and Practice
Volume38
Issue number2
DOIs
StatePublished - Jun 1 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 by the National Council on Measurement in Education

Keywords

  • cognitive diagnosis models (CDMs)
  • diagnostic classification models (DCMs)
  • diagnostic measurement
  • G-DINA framework
  • GDINA R packages
  • model comparison
  • model fit
  • Q-matrix validation

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