@article {2610,
	title = {Some recommendations for developing multidimensional computerized adaptive tests for patient-reported outcomes},
	journal = {Quality of Life Research},
	volume = {27},
	number = {4},
	year = {2018},
	month = {Apr},
	pages = {1055{\textendash}1063},
	abstract = {Multidimensional item response theory and computerized adaptive testing (CAT) are increasingly used in mental health, quality of life (QoL), and patient-reported outcome measurement. Although multidimensional assessment techniques hold promises, they are more challenging in their application than unidimensional ones. The authors comment on minimal standards when developing multidimensional CATs.},
	issn = {1573-2649},
	doi = {10.1007/s11136-018-1821-8},
	url = {https://doi.org/10.1007/s11136-018-1821-8},
	author = {Smits, Niels and Paap, Muirne C. S. and B{\"o}hnke, Jan R.}
}
@article {2459,
	title = {Stochastic Curtailment of Questionnaires for Three-Level Classification: Shortening the CES-D for Assessing Low, Moderate, and High Risk of Depression},
	journal = {Applied Psychological Measurement},
	volume = {40},
	number = {1},
	year = {2016},
	pages = {22-36},
	abstract = {In clinical assessment, efficient screeners are needed to ensure low respondent burden. In this article, Stochastic Curtailment (SC), a method for efficient computerized testing for classification into two classes for observable outcomes, was extended to three classes. In a post hoc simulation study using the item scores on the Center for Epidemiologic Studies{\textendash}Depression Scale (CES-D) of a large sample, three versions of SC, SC via Empirical Proportions (SC-EP), SC via Simple Ordinal Regression (SC-SOR), and SC via Multiple Ordinal Regression (SC-MOR) were compared at both respondent burden and classification accuracy. All methods were applied under the regular item order of the CES-D and under an ordering that was optimal in terms of the predictive power of the items. Under the regular item ordering, the three methods were equally accurate, but SC-SOR and SC-MOR needed less items. Under the optimal ordering, additional gains in efficiency were found, but SC-MOR suffered from capitalization on chance substantially. It was concluded that SC-SOR is an efficient and accurate method for clinical screening. Strengths and weaknesses of the methods are discussed.},
	doi = {10.1177/0146621615592294},
	url = {http://apm.sagepub.com/content/40/1/22.abstract},
	author = {Smits, Niels and Finkelman, Matthew D. and Kelderman, Henk}
}
