@article {2696,
	title = {A Top-Down Approach to Designing the Computerized Adaptive Multistage Test},
	journal = {Journal of Educational Measurement},
	volume = {55},
	number = {2},
	year = {2018},
	pages = {243-263},
	abstract = {Abstract The top-down approach to designing a multistage test is relatively understudied in the literature and underused in research and practice. This study introduced a route-based top-down design approach that directly sets design parameters at the test level and utilizes the advanced automated test assembly algorithm seeking global optimality. The design process in this approach consists of five sub-processes: (1) route mapping, (2) setting objectives, (3) setting constraints, (4) routing error control, and (5) test assembly. Results from a simulation study confirmed that the assembly, measurement and routing results of the top-down design eclipsed those of the bottom-up design. Additionally, the top-down design approach provided unique insights into design decisions that could be used to refine the test. Regardless of these advantages, it is recommended applying both top-down and bottom-up approaches in a complementary manner in practice.},
	doi = {10.1111/jedm.12174},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/jedm.12174},
	author = {Luo, Xiao and Kim, Doyoung}
}
@article {2607,
	title = {Projection-Based Stopping Rules for Computerized Adaptive Testing in Licensure Testing},
	journal = {Applied Psychological MeasurementApplied Psychological Measurement},
	volume = {42},
	year = {2017},
	month = {2018/06/01},
	pages = {275 - 290},
	abstract = {The confidence interval (CI) stopping rule is commonly used in licensure settings to make classification decisions with fewer items in computerized adaptive testing (CAT). However, it tends to be less efficient in the near-cut regions of the ? scale, as the CI often fails to be narrow enough for an early termination decision prior to reaching the maximum test length. To solve this problem, this study proposed the projection-based stopping rules that base the termination decisions on the algorithmically projected range of the final ? estimate at the hypothetical completion of the CAT. A simulation study and an empirical study were conducted to show the advantages of the projection-based rules over the CI rule, in which the projection-based rules reduced the test length without jeopardizing critical psychometric qualities of the test, such as the ? and classification precision. Operationally, these rules do not require additional regularization parameters, because the projection is simply a hypothetical extension of the current test within the existing CAT environment. Because these new rules are specifically designed to address the decreased efficiency in the near-cut regions as opposed to for the entire scale, the authors recommend using them in conjunction with the CI rule in practice.},
	isbn = {0146-6216},
	url = {https://doi.org/10.1177/0146621617726790},
	author = {Luo, Xiao and Kim, Doyoung and Dickison, Philip}
}
