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

Ma Wenchao | Zendy; Torre Jimmy | Zendy

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

Author(s) -

Ma Wenchao,

Torre Jimmy

Publication year - 2019

Publication title -

educational measurement: issues and practice

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.158

H-Index - 52

eISSN - 1745-3992

pISSN - 0731-1745

DOI - 10.1111/emip.12262

Subject(s) - variety (cybernetics) , glossary , computer science , interface (matter) , code (set theory) , graphical user interface , programming language , layer (electronics) , software engineering , data mining , artificial intelligence , operating system , philosophy , linguistics , set (abstract data type) , bubble , maximum bubble pressure method , chemistry , organic chemistry

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.

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