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Miscellaneous
Hogan, P. F., Dall, T., & McBride, J. R.. (1996). Preliminary cost-effectiveness analysis of alternative ASVAB testing concepts at MET sites. Interim report to Defense Manpower Data Center. Fairfax, VA: Lewin-VHI, Inc.
De Witt, J. J., & Weiss, D. J.. (1974). A computer software system for adaptive ability measurement (Research Report 74-1). Minneapolis MN: University of Minnesota, Department of Psychology, Computerized Adaptive Testing Laboratory.
PDF icon de74-1.pdf (2.67 MB)
Stenson, H., Graves, P., Gardiner, J., & Dally, L.. (1991). Collected works on the legal aspects of computerized adaptive testing. Chicago, IL: National Council of State Boards of Nursing, Inc.
Wright, B. D., & Douglas, G. A.. (1975). Best test design and self-tailored testing (Research Memorandum No 19). Chicago: University of Chicago, Department of Education, Statistical Laboratory.
Journal Article
Henson, R. K., & Douglas, J.. (2005). Test construction for cognitive diagnosis. Applied Psychological Measurement, 29, 262-277.
Deng, H., Ansley, T., & Chang, H. - H.. (2010). Stratified and Maximum Information Item Selection Procedures in Computer Adaptive Testing. Journal of Educational Measurement, 47, 202–226. doi:10.1111/j.1745-3984.2010.00109.x
Davis, L. L. (2004). Strategies for Controlling Item Exposure in Computerized Adaptive Testing With the Generalized Partial Credit Model. Applied Psychological Measurement, 28, 165-185. doi:10.1177/0146621604264133
Davis, L. L. (2003). Strategies for controlling item exposure in computerized adaptive testing with polytomously scored items. Dissertation Abstracts International: Section B: The Sciences & Engineering, 64, 458.
Wang, C., Fan, Z., Chang, H. - H., & Douglas, J. A.. (2013). A Semiparametric Model for Jointly Analyzing Response Times and Accuracy in Computerized Testing. Journal of Educational and Behavioral Statistics, 38, 381-417. doi:10.3102/1076998612461831
Luo, X., Kim, D., & Dickison, P.. (2017). Projection-Based Stopping Rules for Computerized Adaptive Testing in Licensure Testing. Applied Psychological MeasurementApplied Psychological Measurement, 42(4), 275 - 290. presented at the 2018/06/01. Retrieved from https://doi.org/10.1177/0146621617726790
Doebler, A. (2012). The Problem of Bias in Person Parameter Estimation in Adaptive Testing. Applied Psychological Measurement, 36, 255-270. doi:10.1177/0146621612443304
Chen, S. - Y., & Doong, S. H.. (2008). Predicting item exposure parameters in computerized adaptive testing. British Journal of Mathematical and Statistical Psychology, 61, 75-91. presented at the May.
Kim, J., Chung, H., Dodd, B. G., & Park, R.. (2012). Panel Design Variations in the Multistage Test Using the Mixed-Format Tests. Educational and Psychological Measurement, 72, 574-588. doi:10.1177/0013164411428977
PDF icon v13n2p129.pdf (1.73 MB)
PDF icon v13n2p129.pdf (1.73 MB)
DeMars, C. E. (2022). The (non)Impact of Misfitting Items in Computerized Adaptive Testing. Journal of Computerized Adaptive Testing, 9(2). doi:10.7333/2211-0902008
de Ayala, R. J. (1992). The nominal response model in computerized adaptive testing. Applied Psychological Measurement, 16, 327-343.
De Ayals, R. J. (1992). The Nominal Response Model in Computerized Adaptive Testing. Applied Psychological Measurement, 15, 327-343.
PDF icon v16n4p327.pdf (1.45 MB)
Choi, S. W., Grady, M. W., & Dodd, B. G.. (2010). A new stopping rule for computerized adaptive testing. Educational and Psychological Measurement, 70, 1-17. presented at the Dec 1.
Choi, S. W., Grady, M. W., & Dodd, B. G.. (2011). A New Stopping Rule for Computerized Adaptive Testing. Educational and Psychological Measurement, 71, 37-53. doi:10.1177/0013164410387338
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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