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CAT
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)
Kingsbury, G. G. (2011). Continuous Testing (an avenue for CAT research). In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011 Kingsbury Continuous Testing.pdf (74.37 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
CD-CAT
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.
change
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
Child Behavior Disorders/*diagnosis
PDF icon ga02812.pdf (131.16 KB)
Child Health Services/*organization & administration
PDF icon ga02812.pdf (131.16 KB)
Cognitive Processes
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.
computerized adaptive test
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
computerized adaptive testing
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.
Kingsbury, G. G. (2002). An empirical comparison of achievement level estimates from adaptive tests and paper-and-pencil tests. In annual meeting of the American Educational Research Association. New Orleans, LA. USA.
Kingsbury, G. G., & Houser, R. L.. (1993). Assessing the utility of item response models: computerized adaptive testing. Educational Measurement: Issues and Practice, 12, 21-27.
PDF icon ICAT- An Adaptive Testing Procedure for the Identification of Idiosyncratic Knowledge Patterns.pdf (322.62 KB)
Linacre, J. M. (2000). Computer-adaptive testing: A methodology whose time has come. In U. Kang, Jean, E., & Linacre, J. M., Development of Computerised Middle School Achievement Tests (Vol. 69). Chicago, IL. USA: MESA.
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)
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
Diagnosis, Computer-Assisted/*methods/statistics & numerical data
Disabled Persons/*classification
Educational Measurement
Koppel, N. B. (2000). Lagrangian relaxation for constrained curve-fitting with binary variables: Applications in educational testing. Dissertation Abstracts International Section A: Humanities and Social Sciences, 61, 1063.

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