Haley, S. M., Siebens, H., Coster, W. J., Tao, W., Black-Schaffer, R. M., Gandek, B., et al.. (2006). Computerized adaptive testing for follow-up after discharge from inpatient rehabilitation: I. Activity outcomes. Archives of Physical Medicine and Rehabilitation, 87, 1033-42. presented at the Aug.

Lai, J. - S., Crane, P. K., Cella, D., Chang, C. - H., Bode, R. K., & Heinemann, A. W.. (2003). Item banking to improve, shorten and computerized self-reported fatigue: an illustration of steps to create a core item bank from the FACIT-Fatigue Scale. Quality of Life Research, 12, 485-501. presented at the Aug.

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.

Jette, A. M., Haley, S. M., Ni, P., & Moed, R.. (2008). Adaptive short forms for outpatient rehabilitation outcome assessment. American Journal of Physical Medicine and Rehabilitation, 87, 842-52. presented at the Oct.

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.

Archer, R. P., Tirrell, C. A., & Elkins, D. E.. (2001). Evaluation of an MMPI-A short form: Implications for adaptive testing. Journal of Personality Assessment, 76, 76-89.

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.

Kuo, B. - C., & Chen, C. - H.. (2017). A New Cognitive Diagnostic Computerized Adaptive Testing for Simultaneously Diagnosing Skills and Misconceptions. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.

Wang, C., Chen, P., & Jiang, S.. (2020). Item Calibration Methods With Multiple Subscale Multistage Testing. Journal of Educational Measurement, 57, 3-28. doi:10.1111/jedm.12241

Levy, R., Behrens, J. T., & Mislevy, R. J.. (2023). An Extended Taxonomy of Variants of Computerized Adaptive Testing. Journal of Computerized Adaptive Testing, 10(1). doi:10.7333/2302-100101

Forbey, J. D., & Ben-Porath, Y. S.. (2007). Computerized adaptive personality testing: A review and illustration with the MMPI-2 Computerized Adaptive Version. Psychological Assessment, 19, 14-24. presented at the Mar.

Paek, P. (2005). Recent trends in comparability studies (No. 05-05). PEM Research Report 05-05. presented at the August, 2005, Pearson.

Green, B. F., Bock, R. D., Humphreys, L. G., Linn, R. L., & Reckase, M. D.. (1984). Technical guidelines for assessing computerized adaptive tests. Journal of Educational Measurement, 21, 347-360.

Pommerich, M. (2007). The effect of using item parameters calibrated from paper administrations in computer adaptive test administrations. Journal of Technology, Learning, and Assessment.

Sijtsma, K. (2001). Developments in measurement of persons and items by means of item response models. Behaviormetrika, 28, 65-94.

Roberts, J. S., Lin, Y., & Laughlin, J. E.. (2001). Computerized adaptive testing with the generalized graded unfolding model. Applied Psychological Measurement, 25, 177-196.

Miceli, R., & Molinengo, G.. (2005). Somministrazione di test computerizzati di tipo adattivo: Un' applicazione del modello di misurazione di Rasch [Administration of computerized and adaptive tests: An application of the Rasch Model]. Testing Psicometria Metodologia, 12, 131-149.

van der Linden, W. J., & van Krimpen-Stoop, E. M. L. A.. (2003). Using response times to detect aberrant responses in computerized adaptive testing. Psychometrika, 68, 251-265.

Huitzing, H. A., Veldkamp, B. P., & Verschoor, A. J.. (2005). Infeasibility in automated test assembly models: A comparison study of different methods. Journal of Educational Measurement, 42, 223-243.

Smith, A. B., Rush, R., Velikova, G., Wall, L., Wright, E. P., Stark, D., et al.. (2007). The initial development of an item bank to assess and screen for psychological distress in cancer patients. Psycho-Oncology, 16, 724-732.

Balajthy, E. (2002). Information technology and literacy assessment. Reading and Writing Quarterly, 18, 369-373.

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.

Reise, S. P., & Henson, J. M.. (2000). Computerization and adaptive administration of the NEO PI-R. Assessment, 7, 347-64.

Cook, K. F., Choi, S. W., Crane, P. K., Deyo, R. A., Johnson, K. L., & Amtmann, D.. (2008). Letting the CAT out of the bag: Comparing computer adaptive tests and an 11-item short form of the Roland-Morris Disability Questionnaire. Spine, 33, 1378-83. presented at the May 20.

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.

Teresi, J. A. (2006). Overview of quantitative measurement methods. Equivalence, invariance, and differential item functioning in health applications. Medical Care, 44, S39-49. presented at the Nov.

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.

Cheng, Y., & Chang, H. - H.. (2009). The maximum priority index method for severely constrained item selection in computerized adaptive testing. British Journal of Mathematical and Statistical Psychology, 62, 369-83. presented at the May.

Panter, A. T., & Reeve, B. B.. (2002). Assessing tobacco beliefs among youth using item response theory models. Drug and Alcohol Dependence, 68, S21-S39. presented at the Nov.

Chen, S. - Y., & Doong, S. H.. (2008). Predicting item exposure parameters in computerized adaptive testing. British Journal of Mathematical and Statistical Psychology, 61, 75-91. presented at the May.

Lange, R. (2008). Binary items and beyond: a simulation of computer adaptive testing using the Rasch partial credit model. Journal of Applied Measurement, 9, 81-104.

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.

Halkitis, P. N. (1998). The effect of item pool restriction on the precision of ability measurement for a Rasch-based CAT: comparisons to traditional fixed length examinations. J Outcome Meas, 2, 97-122.

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.

Raîche, G., & Blais, J. - G.. (2006). SIMCAT 1.0: A SAS computer program for simulating computer adaptive testing. Applied Psychological Measurement, 30, 60-61.

Gibbons, R. D., Weiss, D. J., Kupfer, D. J., Frank, E., Fagiolini, A., Grochocinski, V. J., et al.. (2008). Using computerized adaptive testing to reduce the burden of mental health assessment. Psychiatric Services, 59, 361-8. presented at the Apr.

Hol, A. M., Vorst, H. C. M., & Mellenbergh, G. J.. (2007). Computerized adaptive testing for polytomous motivation items: Administration mode effects and a comparison with short forms. Applied Psychological Measurement, 31, 412-429.

Haley, S. M., Ni, P., Fragala-Pinkham, M. A., Skrinar, A. M., & Corzo, D.. (2005). A computer adaptive testing approach for assessing physical functioning in children and adolescents. Developmental Medicine and Child Neuropsychology, 47, 113-120. presented at the Feb.

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.

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

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

Zara, A. (2011). A Paradigm for Multinational Adaptive Testing. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.

Thissen, D., Nelson, L. A., & Swygert, K. A.. (2001). Item response theory applied to combinations of multiple-choice and constructed-response items--approximation methods for scale scores. In Test scoring (pp. 289-315). Mahwah, N.J. USA: Lawrence Erlbaum Associates.

Hai-qi, D., De-zhi, C., Shuliang, D., & Taiping, D.. (2006). The comparison among item selection strategies of CAT with multiple-choice items. Acta Psychologica Sinica, 38, 778-783.

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.

Armstrong, R. D., Jones, D. H., Koppel, N. B., & Pashley, P. J.. (2004). Computerized adaptive testing with multiple-form structures. Applied Psychological Measurement, 28, 147-164.

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

Wang, C., Chen, P., & Jiang, S.. (2020). Item Calibration Methods With Multiple Subscale Multistage Testing. Journal of Educational Measurement, 57, 3-28. doi:10.1111/jedm.12241

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.