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Bjorner, J. B., Kosinski, M., & Ware, J. E., J.. (2003). Calibration of an item pool for assessing the burden of headaches: an application of item response theory to the Headache Impact Test (HIT). Quality of Life Research, 12, 913-933.

Bjorner, J. B., Kosinski, M., & Ware, J. E., J.. (2003). The feasibility of applying item response theory to measures of migraine impact: a re-analysis of three clinical studies. Quality of Life Research, 12, 887-902.

Bjorner, J. B., Kosinski, M., & Ware, J. E., J.. (2003). Calibration of an item pool for assessing the burden of headaches: an application of item response theory to the Headache Impact Test (HIT). Quality of Life Research, 12, 913-933.

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Bjorner, J. B., Kosinski, M., & Ware, J. E., J.. (2003). The feasibility of applying item response theory to measures of migraine impact: a re-analysis of three clinical studies. Quality of Life Research, 12, 887-902.

Anatchkova, M. D., Saris-Baglama, R. N., Kosinski, M., & Bjorner, J. B.. (2009). Development and preliminary testing of a computerized adaptive assessment of chronic pain. Journal of Pain, 10, 932-943. presented at the Sep.

Bjorner, J. B., Kosinski, M., & Ware, J. E., J.. (2003). Calibration of an item pool for assessing the burden of headaches: an application of item response theory to the Headache Impact Test (HIT). Quality of Life Research, 12, 913-933.

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Forkmann, T., Boecker, M., Norra, C., Eberle, N., Kircher, T., Schauerte, P., et al.. (2009). Development of an item bank for the assessment of depression in persons with mental illnesses and physical diseases using Rasch analysis. Rehabilitation Psychology, 54, 186-97. presented at the May.

Raiche, G., & Blais, J. G.. (2009). Considerations about expected a posteriori estimation in adaptive testing: adaptive a priori, adaptive correction for bias, and adaptive integration interval. Journal of Applied Measurement, 10, 138-56.

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Bjorner, J. B., Chang, C. - H., Thissen, D., & Reeve, B. B.. (2007). Developing tailored instruments: item banking and computerized adaptive assessment. Quality of Life Research, 16, 95-108.

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Riley, B. B., & Carle, A. C.. (2011). Detecting DIF between Conventional and Computerized Adaptive Testing: A Monte Carlo Study. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.

Andres, P. L., Black-Schaffer, R. M., Ni, P., & Haley, S. M.. (2004). Computer adaptive testing: a strategy for monitoring stroke rehabilitation across settings. Stroke Rehabilitation, 11, 33-39. presented at the Spring.

Riley, B. B., & Carle, A. C.. (2012). Comparison of two Bayesian methods to detect mode effects between paper-based and computerized adaptive assessments: a preliminary Monte Carlo study. BMC Med Res Methodol, 12, 124. presented at the 2012. doi:10.1186/1471-2288-12-124

Riley, B. B., & Carle, A. C.. (2011). Detecting DIF between Conventional and Computerized Adaptive Testing: A Monte Carlo Study. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.

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Haley, S. M., Coster, W. J., Andres, P. L., Ludlow, L. H., Ni, P., Bond, T. L., et al.. (2004). Activity outcome measurement for postacute care. Medical Care, 42, I49-161.

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Verschoor, A., Radtke, I., & Eggen, T.. (2011). A Test Assembly Model for MST. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.

Lee, S. (2017). An Empirical Simulation Study Using mstR for MST Designs. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.

Vie, J. - J. (2017). Using Determinantal Point Processes for Multistage Testing. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1GkJkKTEFWK3srDX8TL4ra_Xbsliemu1R

Straat, H., van Groen, M., Zijlstra, W., Keizer-Mittelhaëuser, M. - A., & Lamoré, M.. (2017). Multi-stage Testing for a Multi-disciplined End-of primary-school Test . In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1C5ys178p_Wl9eemQuIsI56IxDTck2z8P

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Bontempo, B. D. (2011). Moving beyond Efficiency to Allow CAT to Provide Better Diagnostic Information. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.

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Berger, S., Verschoor, A. J., Eggen, T., & Moser, U.. (2017). Efficiency of Targeted Multistage Calibration Designs under Practical Constraints: A Simulation Study. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/file/d/1ko2LuiARKqsjL_6aupO4Pj9zgk6p_xhd/view?usp=sharing

Reckase, M., Ju, U., & Kim, S.. (2019). How Adaptive Is an Adaptive Test: Are All Adaptive Tests Adaptive?. Journal of Computerized Adaptive Testing, 7(1), 1-14. doi:10.7333/1902-0701001

Colvin, K., Keller, L. A., & Robin, F.. (2016). Effect of Imprecise Parameter Estimation on Ability Estimation in a Multistage Test in an Automatic Item Generation Context . Journal of Computerized Adaptive Testing, 4(1), 1-18. doi:10.7333/1608-040101

Lee, S. (2017). An Empirical Simulation Study Using mstR for MST Designs. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.

Verschoor, A., Radtke, I., & Eggen, T.. (2011). A Test Assembly Model for MST. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.