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2017
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.
2012
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
Edwards, M. C., Flora, D. B., & Thissen, D.. (2012). Multistage Computerized Adaptive Testing With Uniform Item Exposure. Applied Measurement in Education, 25, 118-141. doi:10.1080/08957347.2012.660363
2011
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)
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.
PDF icon IACAT 2011 Bontempo - CAT for Diagnostic Information.pdf (283 KB)
2010
PDF icon CATSIM Manual.pdf (1.49 MB)
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
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
Mulder, J., & van der Linden, W. J.. (2010). Multidimensional Adaptive Testing with Kullback–Leibler Information Item Selection. In Elements of Adaptive Testing (pp. 77-102). doi:10.1007/978-0-387-85461-8
Zenisky, A. L., Hambleton, R. K., & Luecht, R. M.. (2010). Multistage Testing: Issues, Designs, and Research. In Elements of Adaptive Testing (pp. 355-372). doi:10.1007/978-0-387-85461-8
2009
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.
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)
Edmonds, J., & Armstrong, R. D.. (2009). A mixed integer programming model for multiple stage adaptive testing. European Journal of Operational Research, 193, 342-350.
Barrada, J. R., Veldkamp, B. P., & Olea, J.. (2009). Multiple Maximum Exposure Rates in Computerized Adaptive Testing. Applied Psychological Measurement, 33, 58-73. doi:10.1177/0146621608315329
2007
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)
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., Verschoor, A. J., & Eggen, T.. (2007). A multiple objective test assembly approach for exposure control problems in computerized adaptive testing (No. 2007-1). Measurement and Research Department Reports. Arnhem, The Netherlands: Cito.
Weissman, A. (2007). Mutual Information Item Selection in Adaptive Classification Testing. Educational and Psychological Measurement, 67, 41-58. doi:10.1177/0013164406288164
2004
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
Weissman, A. (2004). Mutual information item selection in multiple-category classification CAT. In Paper presented at the annual meeting of the National Council on Measurement in Education. San Diego CA.
2003
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)
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)
Li, Y. H., & Schafer, W. D.. (2003). Multidimensional computerized adaptive testing in recovering reading and mathematics abilities. In Paper presented at the annual meeting of the American Educational Research Association. Chicago, IL.
PDF icon li03-01.pdf (591.54 KB)
Jodoin, M. (2003). A multidimensional IRT mechanism for better understanding adaptive test behavior. Paper presented at the annual meeting of the National Council on Measurement in Education, Chicago IL.
2002
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.
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.

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