@article {2742,
	title = {Item Selection Criteria With Practical Constraints in Cognitive Diagnostic Computerized Adaptive Testing},
	journal = {Educational and Psychological Measurement},
	volume = {79},
	number = {2},
	year = {2019},
	pages = {335-357},
	abstract = {For item selection in cognitive diagnostic computerized adaptive testing (CD-CAT), ideally, a single item selection index should be created to simultaneously regulate precision, exposure status, and attribute balancing. For this purpose, in this study, we first proposed an attribute-balanced item selection criterion, namely, the standardized weighted deviation global discrimination index (SWDGDI), and subsequently formulated the constrained progressive index (CP\_SWDGDI) by casting the SWDGDI in a progressive algorithm. A simulation study revealed that the SWDGDI method was effective in balancing attribute coverage and the CP\_SWDGDI method was able to simultaneously balance attribute coverage and item pool usage while maintaining acceptable estimation precision. This research also demonstrates the advantage of a relatively low number of attributes in CD-CAT applications.},
	doi = {10.1177/0013164418790634},
	url = {https://doi.org/10.1177/0013164418790634},
	author = {Chuan-Ju Lin and Hua-Hua Chang}
}
@article {2626,
	title = {Item Selection Criteria With Practical Constraints in Cognitive Diagnostic Computerized Adaptive Testing},
	journal = {Educational and Psychological Measurement},
	year = {2018},
	pages = {0013164418790634},
	abstract = {For item selection in cognitive diagnostic computerized adaptive testing (CD-CAT), ideally, a single item selection index should be created to simultaneously regulate precision, exposure status, and attribute balancing. For this purpose, in this study, we first proposed an attribute-balanced item selection criterion, namely, the standardized weighted deviation global discrimination index (SWDGDI), and subsequently formulated the constrained progressive index (CP\_SWDGDI) by casting the SWDGDI in a progressive algorithm. A simulation study revealed that the SWDGDI method was effective in balancing attribute coverage and the CP\_SWDGDI method was able to simultaneously balance attribute coverage and item pool usage while maintaining acceptable estimation precision. This research also demonstrates the advantage of a relatively low number of attributes in CD-CAT applications.},
	doi = {10.1177/0013164418790634},
	url = {https://doi.org/10.1177/0013164418790634},
	author = {Chuan-Ju Lin and Hua-Hua Chang}
}
