Veldkamp, B. P., van der Linden, W. J., & Ariel, A.. (2002). Mathematical-programming approaches to test item pool design (No. RR 02-09) (pp. 93-108). Twente, The Netherlands: University of Twente, Faculty of Educational Science and Technology.

Bickel, P., Buyske, S., Chang, H. - H., & Ying, Z.. (2001). On maximizing item information and matching difficulty with ability. Psychometrika, 66, 69-77.

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.

Han, K. T. (2016). Maximum Likelihood Score Estimation Method With Fences for Short-Length Tests and Computerized Adaptive Tests. Applied Psychological Measurement, 40, 289-301. doi:10.1177/0146621616631317

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.

Paap, M. C. S., Born, S., & Braeken, J.. (In Press). Measurement efficiency for fixed-precision multidimensional computerized adaptive tests: Comparing health measurement and educational testing using example banks. Applied Psychological Measurement.

Paap, M. C. S., Born, S., & Braeken, J.. (2019). Measurement Efficiency for Fixed-Precision Multidimensional Computerized Adaptive Tests: Comparing Health Measurement and Educational Testing Using Example Banks. Applied Psychological Measurement, 43, 68-83. doi:10.1177/0146621618765719

Wang, W. - C., & Chen, B. - H.. (2001). Measurement efficiency of multidimensional computerized adaptive testing. In Paper presented at the annual meeting of the American Psychological Association. San Francisco CA.

Haley, S. M., Ni, P., Ludlow, L. H., & Fragala-Pinkham, M. A.. (2006). Measurement precision and efficiency of multidimensional computer adaptive testing of physical functioning using the pediatric evaluation of disability inventory. Archives of Physical Medicine and Rehabilitation, 87, 1223-9. presented at the Sep.

May, K., & Nicewander, W. A.. (1998). Measuring change conventionally and adaptively. Educational and Psychological Measurement, 58, 882-897.

Haley, S. M., Ni, P., Dumas, H. M., Fragala-Pinkham, M. A., Hambleton, R. K., Montpetit, K., et al.. (2009). Measuring global physical health in children with cerebral palsy: Illustration of a multidimensional bi-factor model and computerized adaptive testing. Quality of Life Research, 18, 359-370. presented at the Apr.

Weiss, D. J., & Von Minden, S.. (2011). Measuring Individual Growth With Conventional and Adaptive Tests. Journal of Methods and Measurement in the Social Sciences, 2(1), 80-101.

Paap, M. C. S., Kroeze, K. A., Glas, C. A. W., Terwee, C. B., van der Palen, J., & Veldkamp, B. P.. (2018). Measuring patient-reported outcomes adaptively: Multidimensionality matters!. Applied Psychological Measurement. doi:10.1177/0146621617733954

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.

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.

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.

Segall, D. O. (2001). Measuring test compromise in high-stakes computerized adaptive testing: A Bayesian Strategy for surrogate test-taker detection. In Paper presented at the annual meeting of the National Council on Measurement in Education. Seattle WA.

Schartz, M. (1986). Measuring up in an individualized way with CAT-ASVAB: Considerations in the development of adaptive testing pools. In Paper presented at the annual meeting of the American Educational Research Association. San Franciso CA.

Thissen, D. (2009). The MEDPRO project: An SBIR project for a comprehensive IRT and CAT software system: IRT software. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.

Thompson, N. A. (2009). The MEDPRO project: An SBIR project for a comprehensive IRT and CAT software system: CAT software. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.

Stocking, M. L., Steffen, M., & Eignor, D. R.. (2001). A method for building a realistic model of test taker behavior for computerized adaptive testing (Research Report 01-22). Princeton NJ: Educational Testing Service.

Stocking, M. L., & Swanson, L.. (1992). A method for severely constrained item selection in adaptive testing. Educational Testing Service Research Report (RR-92-37): Princeton NJ.

Stocking, M. L., & Swanson, L.. (1993). A Method for Severely Constrained Item Selection in Adaptive Testing. Applied Psychological Measurement, 17(3), 277-292.

Stocking, M.,, & Swanson, L.. (1993). A method for severely constrained item selection in adaptive testing. Applied Psychological Measurement, 17, 277-292.

Barrada, J. R., Olea, J., Ponsoda, V., & Abad, F. J.. (2010). A Method for the Comparison of Item Selection Rules in Computerized Adaptive Testing. Applied Psychological Measurement, 34, 438-452. doi:10.1177/0146621610370152

Binet, A., & Simon, T.. (1915). A method of measuring the development of the intelligence of young children. Chicago: Chicago Medical Book Co.

Armstrong, R. D., & Roussos, L.. (2003). A method to determine targets for multi-stage adaptive tests. Unpublished manuscript.

Forker, J. E., & McDonald, M. E.. (1996). Methodologic trends in the healthcare professions: computer adaptive and computer simulation testing. Nurse Education, 21, 13-4. presented at the Jul-Aug.

Pollack, I. (1968). Methodological determination of the PEST (parameter estimation by sequential testing) procedure. Perception and psychophysics, 3, 285-289.

Thissen, D., Reeve, B. B., Bjorner, J. B., & Chang, C. - H.. (2007). Methodological issues for building item banks and computerized adaptive scales. Quality of Life Research, 16, 109-119, .

Lu, Y., & Rizavi, S.. (2003). Methods for item set selection in adaptive testing. In Paper presented at the annual meeting of the National Council on Measurement in Education. Chicago IL.

Barrada, J. R., Olea, J., & Ponsoda, V.. (2007). Methods for restricting maximum exposure rate in computerized adaptative testing. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 3, 14-23.

Stocking, M. L., & Lewis, C.. (2000). Methods of controlling the exposure of items in CAT. In . W. J. van der Linden and C. A. W. Glas (eds.), Computerized adaptive testing: Theory and practice (pp. 163-182). Norwell MA: Kluwer.

Yu, L. (1985). Methods of selecting successive items in adaptive testing. In Unpublished manuscript. University of Pittsburgh.

Meijer, R. R. (2001). Methods to test invariant ability across subgroups of items in CAT. In Paper presented at the Annual Meeting of the National Council on Measurement in Education. Seattle WA.

Revuelta, J., & Ponsoda, V.. (1996). Metodos sencillos para el control de las tasas de exposicion en tests adaptativos informatizados [Simple methods for item exposure control in CATs]. Psicologica, 17, 161-172.

Yuyu, L., Chenglin, Z., & Jie, R.. (2017). MHK-MST Design and the Related Simulation Study. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.

Quan, B., Park, T. A., Sandahl, G., & Wolfe, J. H.. Microcomputer network for computer­ized adaptive testing (CAT) . NPRDC-TR-84-33. San Diego: Navy Personnel Research and Development Center. Retrieved from https://apps.dtic.mil/dtic/tr/fulltext/u2/a140256.pdf

Quan, B., Park, T. A., Sandahl, G., & Wolfe, J. H.. (1984). Microcomputer network for computerized adaptive testing (CAT) (TR-84-33). San Diego CA: Navy Personnel Research and Development Center.

Vos, H. J. (1999). A minimax procedure in the context of sequential mastery testing (Research Report 99-04). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.

Vos, H. J. (2001). A minimax procedure in the context of sequential testing problems in psychodiagnostics. British Journal of Mathematical and Statistical Psychology, 54, 139-159.

Vos, H. J. (1997). A minimax sequential procedure in the context of computerized adaptive mastery testing (Research Report 97-07). Twente, The Netherlands: Department of Educational Measurement and Data Analysis.

Vos, H. J. (2000). A minimax solution for sequential classification problems. In . H. A. L. Kiers, J.-P.Rasson, P. J. F. Groenen, and M. Schader (Eds.), Data analysis, classification, and related methods (pp. 121-126). Berlin: Springer. .

Li, Y. H. (2002). MIRTCAT [computer software]. Upper Marlboro MD: Author.

Mislevy, R. J., & Wu, P. - K.. (1996). Missing responses and IRT ability estimation: Omits, choice, time limits, and adaptive testing (Research Report RR-96-30-ONR). Princeton NJ: Educational Testing Service.

Edmonds, J., & Armstrong, R. D.. (2009). A mixed integer programming model for multiple stage adaptive testing. European Journal of Operational Research, 193, 342-350.

Hong Jiao,, Macready, G., Liu, J., & Cho, Y.. (2012). A Mixture Rasch Model–Based Computerized Adaptive Test for Latent Class Identification. Applied Psychological Measurement, 36, 469-493. doi:10.1177/0146621612450068

Glas, C. A. W., Wainer, H.,, & Bradlow, E. T.. (2000). MML and EAP estimation in testlet-based adaptive testing. In Computerized adaptive testing: Theory and practice (pp. 271-287). Dordrecht, The Netherlands: Kluwer Academic Publishers.

Stocking, M.,, & Swanson, L.. (1993). A model and heuristic for solving very large item selection problems. Applied Psychological Measurement, 17, 151-166.

Ferguson, R. L. (1971). A model for computer-assisted criterion-referenced measurement. Education, 81, 25-31.

Ferguson, R. L. (1970). A model for computer-assisted criterion-referenced measurement. In Paper presented at the annual meeting of the American Educational Research Association/National Council on Measurement in Education. Minneapolis MN.

Kalisch, S. J. (1980). A model for computerized adaptive testing related to instructional situations. In . D. J. Weiss (Ed.). Proceedings of the 1979 Computerized Adaptive Testing Conference (pp. 101-119). Minneapolis MN: University of Minnesota, Department of Psychology, Psychometric Methods Program, Computerized Adaptive Testing Laboratory.

van der Linden, W. J., & Reese, L. M.. (1998). A model for optimal constrained adaptive testing. Applied Psychological Measurement, 22, 259-270.

Chang, H. - H. (1996). A model for score maximization within a computerized adaptive testing environment. In Paper presented at the annual meeting of the NMCE. New York NY.

Sympson, J. B. (1978). A model for testing with multidimensional items. Proceedings of the 1977 Computerized Adaptive Testing Conference. presented at the 06/1978, Minneapolis, MN. USA: University of Minnesota, Department of Psychology, Psychometrics Methods Program.

Sympson, J. B. (1977). A model for testing with multidimensional items. In . D. J. Weiss (Ed.), Proceedings of the 1977 Computerized Adaptive Testing Conference. Minneapolis MN: University of Minnesota, Department of Psychology, Psychometric Methods Program.

Wise, S. L., & G. Kingsbury, G.. (2016). Modeling Student Test-Taking Motivation in the Context of an Adaptive Achievement Test. Journal of Educational Measurement, 53, 86–105. doi:10.1111/jedm.12102

Glas, C. A. W., & van der Linden, W. J.. (2001). Modeling variability in item parameters in CAT. In Paper presented at the Annual Meeting of the National Council on Measurement in Education. Seattle WA.

Stocking, M. L. (1993). Modern computerized adaptive testing. In Paper presented at the Joint Statistics and Psychometric Seminar. Princeton NJ.

Bartroff, J., Finkelman, M., & Lai, T. L.. (2008). Modern sequential analysis and its application to computerized adaptive testing. Psychometrika, 73, 473-486.