
@inbook {1879,
	title = {Cognitive Diagnosis Modeling: An Overview and Illustration},
	booktitle = {Philippine and Global Perspectives on Educational Assessment},
	volume = {1},
	year = {2018},
	pages = {89-110},
	publisher = {Philippine Educational Measurement and Evaluation Association},
	organization = {Philippine Educational Measurement and Evaluation Association},
	address = {Manila},
	abstract = {In conjunction with appropriately designed test, cognitive diagnosis models (CDMs) can be used to identify students{\textquoteright} mastery or nonmastery of skills in a domain. The diagnostic and finer-grained information from CDMs can lead to tailored instruction and remediation. In this chapter, we introduce the generalized deterministic input, noisy {\textquotedblleft}and{\textquotedblright} gate (G-DINA) model as a general CDM framework. In addition to various CDM formulations, the G-DINA model framework subsumes parameterestimation, model fit evaluation, Q-matrix validation, differential item functioning analysis, and classification accuracy estimation. Using empirically based simulated data, we illustrate how CDM analysis can be performed using the GDINA R package.},
	author = {Kevin Carl Santos and Jimmy de la Torre}
}
