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E
Curran, L. T., & Wise, L. L.. (1994). Evaluation and implementation of CAT-ASVAB. In Paper presented at the annual meeting of the American Psychological Association. Los Angeles.
Carlson, S. (2000). ETS finds flaws in the way online GRE rates some students. Chronicle of Higher Education, 47, a47.
Cheng, P. E., & Liou, M.. (2000). Estimation of trait level in computerized adaptive testing. Applied Psychological Measurement, 24, 257-265.
Crotts, K. M., Zenisky, A. L., Sireci, S. G., & Li, X.. (2013). Estimating Measurement Precision in Reduced-Length Multi-Stage Adaptive Testing . Journal of Computerized Adaptive Testing, 1(4), 67-87. doi:10.7333/1309-0104067
McBride, J. R., Corpe, V. A., & Wing, H.. (1987). Equating the computerized adaptive edition of the Differential Aptitude Tests. In Paper presented at the meeting of the American Psychological Association. New York.
Segall, D. O., & Carter, G.. (1995). Equating the CAT-ASVAB: Issues and approach. In Paper presented at the meeting of the National Council on Measurement in Education. San Francisco.
Park, R., Kim, J., Chung, H., & Dodd, B. G.. (2014). Enhancing Pool Utilization in Constructing the Multistage Test Using Mixed-Format Tests. Applied Psychological Measurement, 38, 268-280. doi:10.1177/0146621613515545
Leung, C. - K., Chang, H. - H., & Hau, K. - T.. (1999). An enhanced stratified computerized adaptive testing design. In Paper presented at the annual meeting of the American Educational Research Association. Montreal, Canada.
PDF icon le99-01.pdf (477.89 KB)
Wang, C., Zheng, C., & Chang, H. - H.. (2014). An Enhanced Approach to Combine Item Response Theory With Cognitive Diagnosis in Adaptive Testing. Journal of Educational Measurement, 51, 358–380. doi:10.1111/jedm.12057
Cliff, N. A., Cudeck, R., & McCormick, D.. (1977). An empirical evaluation of implied orders as a basis for tailored testing. In . D. J. Weiss (Ed.), Proceedings of the 1977 Computerized Adaptive Testing Conference. Minneapolis MN: University of Minnesota, Department of Psychology, Psychometric Methods Program.
PDF icon cl77048.pdf (779.84 KB)
Cliff, N. A., Cudeck, R., & McCormick, D.. (1977). An empirical evaluation of implied orders as a basis for tailored testing. In . D. J. Weiss (Ed.), Proceedings of the 1977 Computerized Adaptive Testing Conference. Minneapolis MN: University of Minnesota, Department of Psychology, Psychometric Methods Program.
PDF icon cl77048.pdf (779.84 KB)
Hou, L., Chen, S., G., D. B., & Fitzpatrick, S. J.. (1996). The effects of methods of theta estimation, prior distribution, and number of quadrature points on CAT using the graded response model. In Paper presented at the annual meeting of the American Educational Research Association. New York NY.
Pine, S. M., Church, A. T., Gialluca, K. A., & Weiss, D. J.. (1980). Effects of computerized adaptive testing on Black and White students (Research Report 79-2). Minneapolis: University of Minnesota, Department of Psychology, Psychometric Methods Program.
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Chang, S. - W., & Twu, B. - Y.. (2001). Effects of changes in the examinees’ ability distribution on the exposure control methods in CAT. In Paper presented at the annual meeting of the American Educational Research Association. Seattle WA.
PDF icon ch01-02.pdf (694.64 KB)
Zhang, J., & Chang, H.. (2005). The effectiveness of using multiple item pools in computerized adaptive testing. In Annual meeting of the National Council on Measurement in Education . presented at the 04/2005, Montreal, Canada.
Cheng, Y., & Liu, C.. (2015). The Effect of Upper and Lower Asymptotes of IRT Models on Computerized Adaptive Testing. Applied Psychological Measurement, 39, 551-565. doi:10.1177/0146621615585850
Chen, S., Hou, L., Fitzpatrick, S. J., & Dodd, B. G.. (1995). The effect of population distribution and methods of theta estimation on CAT using the rating scale model. In Paper presented at the annual meeting of the American Educational Research Association. San Francisco.
PDF icon Colvin FINAL.pdf (630.27 KB)
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D
Kang, H. - A., Zhang, S., & Chang, H. - H.. (2017). Dual-Objective Item Selection Criteria in Cognitive Diagnostic Computerized Adaptive Testing. Journal of Educational Measurement, 54, 165–183. doi:10.1111/jedm.12139
Park, R., Kim, J., Chung, H., & Dodd, B. G.. (2017). The Development of MST Test Information for the Prediction of Test Performances. Educational and Psychological Measurement, 77, 570-586. doi:10.1177/0013164416662960
McBride, J. R., & Curran, L. T.. (1992). The development of alternative operational concepts. In . Proceedings of the 34th Annual Conference of the Military Testing Association. San Diego, CA: Navy Personnel Research and Development Center.
PDF icon co03-01.pdf (606.41 KB)
Linn, R. L., & Cleary, T. A.. (1969). The development and evaluation of several programmed testing methods. Educational and Psychological Measurement, 29, 129-146.
Chang, C. - H. (2004). Developing tailored instruments: Item banking and computerized adaptive assessment. In Paper presented at the conference “Advances in Health Outcomes Measurement: Exploring the Current State and the Future of Item Response Theory. Item Banks, and Computer-Adaptive Testing,” Bethesda MD.
PDF icon ch04-01.pdf (180.23 KB)
Sinharay, S., Wan, P., Whitaker, M., Kim, D. - I., Zhang, L., & Choi, S. W.. (2014). Determining the Overall Impact of Interruptions During Online Testing. Journal of Educational Measurement, 51, 419–440. doi:10.1111/jedm.12052
van der Linden, W. J., Breithaupt, K., Chuah, S. C., & Zhang, Y.. (2007). Detecting Differential Speededness in Multistage Testing. Journal of Educational Measurement, 44, 117–130. doi:10.1111/j.1745-3984.2007.00030.x
Riley, B. B., & Carle, A. C.. (2011). Detecting DIF between Conventional and Computerized Adaptive Testing: A Monte Carlo Study. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011 Riley Carle Detecting DIF between Conventional and Computerized Adaptive Testing.pdf (305.3 KB)
Wang, C., Chang, H. - H., & Boughton, K. A.. (2013). Deriving Stopping Rules for Multidimensional Computerized Adaptive Testing. Applied Psychological Measurement, 37, 99-122. doi:10.1177/0146621612463422
Grabovsky, I., Chang, H. - H., & Ying, Z.. (2001). Deriving a stopping rule for sequential adaptive tests. In Paper presented at the annual meeting of the American Educational Research Association. Seattle WA.
PDF icon gr01-01.pdf (110.09 KB)

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