Premium
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
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.