Abstract
The development of cognitive diagnosis models (CDMs) has been prolific since the turn of the century; however, they have often been developed in such a way that they lack an overall connective framework. The purpose of this chapter is to review the G-DINA framework. As a general model, it subsumes several simpler and widely-known CDMs; as a general framework, it has also served as the foundation for a variety of model extensions and new methodological developments. We will also discuss associated topics, which include model estimation, Q-matrix validation, computerized adaptive testing, and model selection as they relate to the reviewed models.
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Torre, J.d., Minchen, N.D. (2019). The G-DINA Model Framework. In: von Davier, M., Lee, YS. (eds) Handbook of Diagnostic Classification Models. Methodology of Educational Measurement and Assessment. Springer, Cham. https://doi.org/10.1007/978-3-030-05584-4_7
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DOI: https://doi.org/10.1007/978-3-030-05584-4_7
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