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Kirisci, L. (1992). Estimation of ability level by using only observable quantities in adaptive testing. In Paper presented at the annual meeting if the American Educational Research Association. Chicago.
Wang, T., & Kolen, M. J.. (1997). Evaluating comparability in computerized adaptive testing: A theoretical framework with an example. In Paper presented at the annual meeting of the American Educational Research Association. Chicago.
Wise, S. L., Kingsbury, G. G., & Webb, N. L.. (2015). Evaluating Content Alignment in Computerized Adaptive Testing. Educational Measurement: Issues and Practice, 34(4). doi:http://dx.doi.org/10.1111/emip.12094
Fliege, H., Becker, J., Walter, O. B., Rose, M., Bjorner, J. B., & Klapp, B. F.. (2009). Evaluation of a computer-adaptive test for the assessment of depression (D-CAT) in clinical application. International Journal for Methods in Psychiatric Research, 18, 233-236. presented at the Feb 4.
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Imai, S., Ito, S., Nakamura, Y., Kikuchi, K., Akagi, Y., Nakasono, H., et al.. (2009). Features of J-CAT (Japanese Computerized Adaptive Test). In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat09imai.pdf (654.11 KB)
Kingsbury, G., & Zara, T.. (2017). From Blueprints to Systems: An Integrated Approach to Adaptive Testing. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1CBaAfH4ES7XivmvrMjPeKyFCsFZOpQMJ
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Embretson, S. E. (2002). Generating abstract reasoning items with cognitive theory. In P. Kyllomen, Item generation for test development (pp. 219-250). Mahwah, N.J. USA: Lawrence Erlbaum Associates, Inc.
Krass, I. A. (1997). Getting more precision on computer adaptive testing. In Paper presented at the 62nd Annual meeting of Psychometric Society. University of Tennessee, Knoxville, TN.
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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.
PDF icon IACAT 2011 Health Care Krishnan.pdf (2.84 MB)
Reckase, M., Ju, U., & Kim, S.. (2019). How Adaptive Is an Adaptive Test: Are All Adaptive Tests Adaptive?. Journal of Computerized Adaptive Testing, 7(1), 1-14. doi:10.7333/1902-0701001
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PDF icon ICAT- An Adaptive Testing Procedure for the Identification of Idiosyncratic Knowledge Patterns.pdf (322.62 KB)
Kingsbury, G. G., & Houser, R. L.. (2008). ICAT: An adaptive testing procedure for the identification of idiosyncratic knowledge patterns. Zeitschrift für Psychologie / Journal of Psychology, 216(1), 40–48.
Kingsbury, G. G., & Houser, R. L.. (2007). ICAT: An adaptive testing procedure to allow the identification of idiosyncratic knowledge patterns. In . D. J. Weiss (Ed.). Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat07Kingsbury.pdf (160.68 KB)
Kim, J. (1993). Individual differences in computerized adaptive testing. In Paper presented at the annual meeting of the Mid-South Educational Research Association. New Orleans LA.
Kim, J., & McLean, J. E.. (1995). The influence of examinee test-taking behavior motivation in computerized adaptive testing. In Paper presented at the annual meeting of the National Council on Measurement in Education. San Francisco CA.
Liu, O. Lydia, Bridgeman, B., Gu, L., Xu, J., & Kong, N.. (2015). Investigation of Response Changes in the GRE Revised General Test. Educational and Psychological Measurement, 75, 1002-1020. doi:10.1177/0013164415573988
Wise, S. L., Kingsbury, G. G., & Houser, R. L.. (1993). An investigation of restricted self-adapted testing. In Paper presented at the annual meeting of the National Council on Measurement in Education. Atlanta GA.
Wainer, H.,, & Kiely, G. L.. (1987). Item clusters and computerized adaptive testing: A case for testlets. Journal of Educational Measurement, 24(3), 185-201.
Parshall, C., Hogarty, K., & Kromrey, J.. (1999). Item exposure in adaptive tests: An empirical investigation of control strategies. In Paper presented at the annual meeting of the Psychometric Society. Lawrence KS.
PDF icon v08n2p147.pdf (573.02 KB)
Finkelman, M. D., Kim, W., He, Y., & Lai, A. M.. (2013). Item Ordering in Stochastically Curtailed Health Questionnaires With an Observable Outcome. Journal of Computerized Adaptive Testing, 1(3), 38-66. doi:10.7333/1304-0103038
Kingsbury, G. G. (1997). Item pool development and maintenance. In Paper presented at the annual meeting of the National Council on Measurement in Education. Chicago IL.
Kingsbury, G. G. (1996). Item review and adaptive testing. In Paper presented at the annual meeting of the National Council on Measurement in Education. New York.
Finkelman, M., Weiss, D. J., & Kim-Kang, G.. (2009). Item selection and hypothesis testing for the adaptive measurement of change. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat09finkelman.pdf (227.83 KB)
Finkelman, M. D., Weiss, D. J., & Kim-Kang, G.. (2010). Item Selection and Hypothesis Testing for the Adaptive Measurement of Change. Applied Psychological Measurement, 34(4), 238-254. doi:10.1177/0146621609344844
Veldkamp, B. P. (2003). Item selection in polytomous CAT. In A. Okada, Shigenasu, K., Kano, Y., & Meulman, J., New developments in psychometrics (pp. 207–214). Tokyo, Japan: Psychometric Society, Springer.
PDF icon ve03027.pdf (78.48 KB)
PDF icon itemusage_QLR.pdf (641.22 KB)
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PDF icon PRO_multidimmatters_APM.pdf (894.8 KB)
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.
PDF icon ka80-01.pdf (1 MB)
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
Kim, H. - O. (1994). Monte Carlo simulation comparison of two-stage testing and computerized adaptive testing. Dissertation Abstracts International Section A: Humanities & Social Sciences, 54, 2548.
Kim, H., & Plake, B. S.. (1993). Monte Carlo simulation comparison of two-stage testing and computerized adaptive testing. In Paper presented at the meeting of the National Council on Measurement in Education. Atlanta, GA.
PDF icon ga02812.pdf (131.16 KB)
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Parshall, C. G., Kromrey, J. D., Harmes, J. C., & Sentovich, C.. (2001). Nearest neighbors, simple strata, and probabilistic parameters: An empirical comparison of methods for item exposure control in CATs. In Paper presented at the annual meeting of the National Council on Measurement in Education. Seattle WA.
Kandula, S., Ancker, J. S., Kaufman, D. R., Currie, L. M., & Qing, Z. - T.. (2011). A new adaptive testing algorithm for shortening health literacy assessments. BMC Medical Informatics and Decision Making, 11(52). doi:10.1186/1472-6947-11-52
Kandula, S., Ancker, J. S., Kaufman, D. R., Currie, L. M., & Qing, Z. - T.. (2011). A new adaptive testing algorithm for shortening health literacy assessments. BMC Medical Informatics and Decision Making, 11(52). doi:10.1186/1472-6947-11-52
Kuo, B. - C., & Chen, C. - H.. (2017). A New Cognitive Diagnostic Computerized Adaptive Testing for Simultaneously Diagnosing Skills and Misconceptions. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
Kaplan, M., de la Torre, J., & Barrada, J. R.. (2015). New Item Selection Methods for Cognitive Diagnosis Computerized Adaptive Testing. Applied Psychological Measurement, 39, 167-188. doi:10.1177/0146621614554650

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