In this digital ITEMS module, Dr. Wenchao Ma and Dr. Jimmy de la Torre 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 (CDMs). The module contains a non-technical 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. They 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.