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Mulcahey, M. J., Haley, S. M., Duffy, T., Pengsheng, N., & Betz, R. R.. (2008). Measuring physical functioning in children with spinal impairments with computerized adaptive testing. Journal of Pediatric Orthopedics, 28, 330-5. presented at the Apr-May.

Newton, D. W., Boyle, M., & Catizone, C. A.. (2008). The NAPLEX: evolution, purpose, scope, and educational implications. American Journal of Pharmaceutical Education, 72, 33. presented at the Apr 15.

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.

Petersen, M. A., Groenvold, M., Aaronson, N. K., Fayers, P., Sprangers, M., & Bjorner, J. B.. (2006). Multidimensional computerized adaptive testing of the EORTC QLQ-C30: basic developments and evaluations. Quality of Life Research, 15, 315-29. presented at the Apr.

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Schwartz, C., Welch, G., Santiago-Kelley, P., Bode, R., & Sun, X.. (2006). Computerized adaptive testing of diabetes impact: a feasibility study of Hispanics and non-Hispanics in an active clinic population. Quality of Life Research, 15, 1503-18. presented at the Nov.

Siebens, H., Andres, P. L., Pengsheng, N., Coster, W. J., & Haley, S. M.. (2005). Measuring physical function in patients with complex medical and postsurgical conditions: a computer adaptive approach. American Journal of Physical Medicine and Rehabilitation, 84, 741-8. presented at the Oct.

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Barrada, J. R., Mazuela, P., & Olea, J.. (2006). Maximum information stratification method for controlling item exposure in computerized adaptive testing. Psicothema, 18, 156-159. presented at the Feb.

Barrada, J. R., Olea, J., & Abad, F. J.. (2008). Rotating item banks versus restriction of maximum exposure rates in computerized adaptive testing. Spanish Journal of Psychology, 11, 618-625.

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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.

Hart, D. L., Mioduski, J. E., & Stratford, P. W.. (2005). Simulated computerized adaptive tests for measuring functional status were efficient with good discriminant validity in patients with hip, knee, or foot/ankle impairments. Journal of Clinical Epidemiology, 58, 629-38.

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

Chen, S. - Y., Ankenmann, R. D., & Spray, J. A.. (2003). The relationship between item exposure and test overlap in computerized adaptive testing. Journal of Educational Measurement, 40, 129-145.

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Taherbhai, H. M., & Young, M. J.. (2004). Pre-equating: a simulation study based on a large scale assessment model. Journal of Applied Measurement, 5, 301-18.

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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.

Cook, K. F., Teal, C. R., Bjorner, J. B., Cella, D., Chang, C. - H., Crane, P. K., et al.. (2007). IRT health outcomes data analysis project: an overview and summary. Quality of Life Research, 16, 121-132.

Newton, D. W., Boyle, M., & Catizone, C. A.. (2008). The NAPLEX: evolution, purpose, scope, and educational implications. American Journal of Pharmaceutical Education, 72, 33. presented at the Apr 15.

Newton, D. W., Boyle, M., & Catizone, C. A.. (2008). The NAPLEX: evolution, purpose, scope, and educational implications. American Journal of Pharmaceutical Education, 72, 33. presented at the Apr 15.

Hart, D. L., Mioduski, J. E., & Stratford, P. W.. (2005). Simulated computerized adaptive tests for measuring functional status were efficient with good discriminant validity in patients with hip, knee, or foot/ankle impairments. Journal of Clinical Epidemiology, 58, 629-38.

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van Boxel, M., & Eggen, T.. (2017). The Implementation of Nationwide High Stakes Computerized (adaptive) Testing in the Netherlands. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1Kn1PvgioUYaOJ5pykq-_XWnwDU15rRsf

Desmarais, M. C., & Pu, X.. (2005). A Bayesian student model without hidden nodes and its comparison with item response theory. International Journal of Artificial Intelligence in Education, 15, 291-323.

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.

Chakravarty, E. F., Bjorner, J. B., & Fries, J. F.. (2007). Improving patient reported outcomes using item response theory and computerized adaptive testing. Journal of Rheumatology, 34, 1426-31. presented at the Jun.

Fries, J. F., Cella, D., Rose, M., Krishnan, E., & Bruce, B.. (2009). Progress in assessing physical function in arthritis: PROMIS short forms and computerized adaptive testing. Journal of Rheumatology, 36, 2061-2066. presented at the Sep.

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Hart, D. L., & Wright, B. D.. (2002). Development of an index of physical functional health status in rehabilitation. Archives of Physical Medicine and Rehabilitation, 83, 655-65. presented at the May.

Hays, R. D., Morales, L. S., & Reise, S. P.. (2000). Item response theory and health outcomes measurement in the 21st century. Medical Care, 38, II28-II42.

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.

Cella, D., & Nowinski, C. J.. (2002). Measuring quality of life in chronic illness: the functional assessment of chronic illness therapy measurement system. Archives of Physical Medicine and Rehabilitation, 83, S10-7. presented at the Dec.

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.

Jette, A. M., & Haley, S. M.. (2005). Contemporary measurement techniques for rehabilitation outcomes assessment. Journal of Rehabilitation Medicine, 37, 339-345.

Holman, R., Glas, C. A., Lindeboom, R., Zwinderman, A. H., & de Haan, R. J.. (2004). Practical methods for dealing with 'not applicable' item responses in the AMC Linear Disability Score project. Health and Quality of Life Outcomes. presented at the Jun 16.

Petersen, M. A., Groenvold, M., Aaronson, N. K., Fayers, P., Sprangers, M., & Bjorner, J. B.. (2006). Multidimensional computerized adaptive testing of the EORTC QLQ-C30: basic developments and evaluations. Quality of Life Research, 15, 315-29. presented at the Apr.

Hays, R. D., Morales, L. S., & Reise, S. P.. (2000). Item response theory and health outcomes measurement in the 21st century. Medical Care, 38, II28-II42.

Siebens, H., Andres, P. L., Pengsheng, N., Coster, W. J., & Haley, S. M.. (2005). Measuring physical function in patients with complex medical and postsurgical conditions: a computer adaptive approach. American Journal of Physical Medicine and Rehabilitation, 84, 741-8. presented at the Oct.

Chang, C. - H. (2007). Patient-reported outcomes measurement and management with innovative methodologies and technologies. Quality of Life Research, 16 Suppl 1, 157-66.

Krishnan, E. (2011). High-throughput Health Status Measurement using CAT in the Era of Personal Genomics: Opportunities and Challenges. In Annual Conference of the International Association for Computerized Adaptive Testing.

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Hambleton, R. K. (2005). Applications of item response theory to improve health outcomes assessment: Developing item banks, linking instruments, and computer-adaptive testing. In C. C. Gotay & Snyder, C., Outcomes assessment in cancer (pp. 445-464). Cambridge, UK: Cambridge University Press.

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.