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Belov, D. I., & Armstrong, R. D.. (2008). A Monte Carlo Approach to the Design, Assembly, and Evaluation of Multistage Adaptive Tests. Applied Psychological Measurement, 32, 119-137. doi:10.1177/0146621606297308
Belov, D. I., Armstrong, R. D., & Weissman, A.. (2008). A Monte Carlo Approach for Adaptive Testing With Content Constraints. Applied Psychological Measurement, 32, 431-446. doi:10.1177/0146621607309081
Belov, D. I., Armstrong, R. D., & Weissman, A.. (2008). A monte carlo approach for adaptive testing with content constraints. Applied Psychological Measurement, 32, 431-446. doi:10.1177/0146621607309081
Zhang, J., & Li, J.. (2016). Monitoring Items in Real Time to Enhance CAT Security. Journal of Educational Measurement, 53, 131–151. doi:10.1111/jedm.12104
Smith, R. L., Wang, M. M., Wingersky, M., & Zhao, C.. (2001). Monitoring items for changes in performance in computerized adaptive tests. In Paper presented at the annual conference of the National Council on Measurement in Education. Seattle, Washington.
van Abswoude, A. A. H., Vermunt, J. K., Hemker, B. T., & van der Ark, A. L.. (2004). Mokken Scale Analysis Using Hierarchical Clustering Procedures. Applied Psychological Measurement, 28, 332-354. doi:10.1177/0146621604265510
Way, W. D., Zara, A., & Leahy, J.. (1996). Modifying the NCLEXTM CAT item selection algorithm to improve item exposure. In Paper presented at the annual meeting of the American Educational Research Association. New York.
Cheng, Y., & Chang, H. - H.. (2007). The modified maximum global discrimination index method for cognitive diagnostic computerized adaptive testing. In .   D. J. Weiss (Ed.).  Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat07cheng.pdf (171.07 KB)
Veldkamp, B. P. (2000). Modifications of the branch-and-bound algorithm for application in constrained adaptive testing (Research Report 00-05). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.
Mussio, J. J. (1972). A modification to Lord’s model for tailored tests. Unpublished doctoral dissertation, University of Toronto.
McBride, J. R., & Cooper, R. R.. (1997). Modification of the Computerized Adaptive Screening Test (CAST) for use by recruiters in all military services. Final Technical Report FR-WATSD-97-24, Contract No. MDA903-93-D-0032, DO 0054. Alexandria VA: Human Resources Research Organization.
Stocking, M. L. (1993). Modern computerized adaptive testing. In Paper presented at the Joint Statistics and Psychometric Seminar. Princeton NJ.
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.
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
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.
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.
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.
van der Linden, W. J., & Reese, L. M.. (1998). A model for optimal constrained adaptive testing. Applied Psychological Measurement, 22, 259-270.
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.
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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.
Stocking, M.,, & Swanson, L.. (1993). A model and heuristic for solving very large item selection problems. Applied Psychological Measurement, 17, 151-166.
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.
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
Edmonds, J., & Armstrong, R. D.. (2009). A mixed integer programming model for multiple stage adaptive testing. European Journal of Operational Research, 193, 342-350.
Li, Y. H. (2002). MIRTCAT [computer software]. Upper Marlboro MD: Author.
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. .
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. (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. (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.
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.
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.
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.
Yu, L. (1985). Methods of selecting successive items in adaptive testing. In Unpublished manuscript. University of Pittsburgh.
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.
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)
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)
PDF icon ar03-03.pdf (206.25 KB)
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
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)
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.,, & Swanson, L.. (1993). A method for severely constrained item selection in adaptive testing. Applied Psychological Measurement, 17, 277-292.
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)
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.
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)
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.

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