@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 {2618,
	title = {On the effect of adding clinical samples to validation studies of patient-reported outcome item banks: a simulation study},
	journal = {Quality of Life Research},
	volume = {25},
	number = {7},
	year = {2016},
	pages = {1635{\textendash}1644},
	abstract = {To increase the precision of estimated item parameters of item response theory models for patient-reported outcomes, general population samples are often enriched with samples of clinical respondents. Calibration studies provide little information on how this sampling scheme is incorporated into model estimation. In a small simulation study the impact of ignoring the oversampling of clinical respondents on item and person parameters is illustrated.},
	issn = {1573-2649},
	doi = {10.1007/s11136-015-1199-9},
	url = {https://doi.org/10.1007/s11136-015-1199-9},
	author = {Smits, Niels}
}
@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}
}
@article {2403,
	title = {Utilizing Response Times in Computerized Classification Testing},
	journal = {Applied Psychological Measurement},
	volume = {39},
	number = {5},
	year = {2015},
	pages = {389-405},
	abstract = {A well-known approach in computerized mastery testing is to combine the Sequential Probability Ratio Test (SPRT) stopping rule with item selection to maximize Fisher information at the mastery threshold. This article proposes a new approach in which a time limit is defined for the test and examinees{\textquoteright} response times are considered in both item selection and test termination. Item selection is performed by maximizing Fisher information per time unit, rather than Fisher information itself. The test is terminated once the SPRT makes a classification decision, the time limit is exceeded, or there is no remaining item that has a high enough probability of being answered before the time limit. In a simulation study, the new procedure showed a substantial reduction in average testing time while slightly improving classification accuracy compared with the original method. In addition, the new procedure reduced the percentage of examinees who exceeded the time limit.},
	doi = {10.1177/0146621615569504},
	url = {http://apm.sagepub.com/content/39/5/389.abstract},
	author = {Sie, Haskell and Finkelman, Matthew D. and Riley, Barth and Smits, Niels}
}
