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Levine, M. L., Segall, D. O., & Williams, B. A.. (1997). Maintaining a CAT item pool with operational data. In Paper presented at the annual meeting of the National Council on Measurement in Education. Chicago IL.
Patsula, L. N., & Steffen, M.. (1997). Maintaining item and test security in a CAT environment: A simulation study. In Paper presented at the annual meeting of the National Council on Measurement in Education. Chicago IL).
Smith, R. L., Rizavi, S., Paez, R., Damiano, M., & Herbert, E.. (2003). Maintaining scale in computer adaptive testing. In Paper presented at the annual meeting of the National Council on Measurement in Education. Chicago IL.
PDF icon sm03-01.pdf (366.57 KB)
Guo, F. (1999). Managing CAT item development in the face of uncertainty. In Paper presented at the annual meeting of the National Council on Measurement in Education. Montreal, Canada.
PDF icon CATSIM Manual.pdf (1.49 MB)
McBride, J. R., & Tardrew, S. P.. (2002). Mapping the Development of Pre-reading Skills with STAR Early Literacy. In Presentation to the Annual Meeting of the Society for the Scientific Study of Reading. Chicago.
Glas, C. A. W., & van der Linden, W. J.. (2010). Marginal likelihood inference for a model for item responses and response times. British Journal of Mathematical and Statistical Psychology, 63, 603-26.
Verschoor, A. J., & Straetmans, G. J. J. M.. (2010). MATHCAT: A Flexible Testing System in Mathematics Education for Adults. In Elements of Adaptive Testing (pp. 137-150). doi:10.1007/978-0-387-85461-8
Jones, D. H. (1997). Mathematical programming approaches to computerized adaptive testing. In Paper presented at the annual meeting of the National Council on Measurement in Education. Chicago IL.
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.
PDF icon ba06157.pdf (56.69 KB)
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.
PDF icon measefficiency_MCAT.pdf (1.1 MB)
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.
May, K., & Nicewander, W. A.. (1998). Measuring change conventionally and adaptively. Educational and Psychological Measurement, 58, 882-897.
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.
PDF icon Measuring Individual Change -- JMM.PDF (934.54 KB)
PDF icon PRO_multidimmatters_APM.pdf (894.8 KB)
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.
PDF icon se01-01.pdf (274.14 KB)
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.
PDF icon cat09thissen.pdf (816.21 KB)
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.
PDF icon cat09thompson2.pdf (282.73 KB)
Stocking, M.,, & Swanson, L.. (1993). A method for severely constrained item selection in adaptive testing. Applied Psychological Measurement, 17, 277-292.
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.
PDF icon v17n3p277.pdf (1.06 MB)
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
PDF icon ar03-03.pdf (206.25 KB)
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.
PDF icon lu03-02.pdf (441.94 KB)
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.
PDF icon ba07014.pdf (398.44 KB)
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.
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.. (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.
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.

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