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 language | English (US) |
|---|---|
| Pages (from-to) | 114-115 |
| Number of pages | 2 |
| Journal | Educational Measurement: Issues and Practice |
| Volume | 38 |
| Issue number | 2 |
| DOIs |
|
| State | Published - Jun 1 2019 |
| Externally published | Yes |
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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