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Yao, L., Pommerich, M., & Segall, D. O.. (2014). Using Multidimensional CAT to Administer a Short, Yet Precise, Screening Test. Applied Psychological Measurement, 38, 614-631. doi:10.1177/0146621614541514
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Wise, S. L. (1994). Understanding self-adapted testing: The perceived control hypothesis. Applied Measurement in Education, 7, 15-24.
Wise, S. L. (2014). The Utility of Adaptive Testing in Addressing the Problem of Unmotivated Examinees. Journal of Computerized Adaptive Testing, 2(1), 1-17. doi:10.7333/1401-02010001
Williamson, D. M., & Bejar, I. I.. (2002). Using testlet response theory to evaluate the equivalence of automatically generated multiple-choice items. In Symposium conducted at the annual meeting of the National Council on Measurement in Eucation. New Orleans LA.
Weitzman, R. A. (1982). Use of Sequential Testing to Prescreen Prospective Entrants to Military Service. In . D. J. Weiss (Ed.), Proceedings of the 1982 Item Response Theory and Computerized Adaptive Testing Conference Minneapolis: University of Minnesota, Department of Psychology, Psychometric Methods Program.
PDF icon we82-02.pdf (437.88 KB)
Wei, H., & Lin, J.. (2015). Using Out-of-Level Items in Computerized Adaptive Testing. International Journal of Testing, 15(1). doi:http://dx.doi.org/10.1080/15305058.2014.979492
Ward, W. C. (1984). Using microcomputers to administer tests. Educational Measurement: Issues and Practice, 3(2), 16-20.
PDF icon wa01-06.pdf (2.29 MB)
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Vos, H. J. (1999). Using Bayesian decision theory to design a computerized mastery test. Journal of Educational and Behavioral Statistics, 24(3), 271–292.
Vispoel, W. P., Clough, S. J., & Bleiler, T.. (2002). Using judgments of item difficulty to change answers on computerized adaptive vocabulary tests. In Paper presented at the annual meeting of the American Educational Research Association. New Orleans LA.
Vie, J. - J. (2017). Using Determinantal Point Processes for Multistage Testing. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1GkJkKTEFWK3srDX8TL4ra_Xbsliemu1R
Veldkamp, B. P., Matteucci, M., & de Jong, M. G.. (2013). Uncertainties in the Item Parameter Estimates and Robust Automated Test Assembly. Applied Psychological Measurement, 37, 123-139. doi:10.1177/0146621612469825
van der Linden, W. J., & van Krimpen-Stoop, E. M. L. A.. (2001). Using response times to detect aberrant behavior in computerized adaptive testing. In Paper presented at the annual meeting of the National Council on Measurement in Education. Seattle WA.
van der Linden, W. J., & van Krimpen-Stoop, E. M. L. A.. (2000). Using response times to detect aberrant behavior in computerized adaptive testing (Research Report 00-09). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.
van der Linden, W. J. (2008). Using response times for item selection in adaptive testing. Journal of Educational and Behavioral Statistics, 33, 5–20.
van der Linden, W. J., Scrams, D. J., & Schnipke, D. L.. (1998). Using response-time constraints to control for differential speededness in adaptive testing (Research Report 98-06). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.
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Thompson, N. A. (2009). Utilizing the generalized likelihood ratio as a termination criterion. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat09thompson.pdf (193.51 KB)
Thompson, D. L. (1986). Using microcomputer-based assessment in career counseling. Journal of Employment Counseling, 23, 50-56.
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Smith, R. L., Rizavi, S., Paez, R., & Rotou, O.. (2002). Updated item parameter estimates using sparse CAT data. In Paper presented at the annual meeting of the National Council on Measurement in Education. New Orleans LA.
PDF icon sm02-02.pdf (985.84 KB)
Sie, H., Finkelman, M. D., Riley, B., & Smits, N.. (2015). Utilizing Response Times in Computerized Classification Testing. Applied Psychological Measurement, 39, 389-405. doi:10.1177/0146621615569504
Sheng, Y., Flournoy, N., & Osterlind, S. J.. (2007). Up-and-down procedures for approximating optimal designs using person-response functions. In . D. J. Weiss (Ed.). Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat07sheng.pdf (1.02 MB)
Shen, Y., Bao, Y., Wang, S., & Bradshaw, L.. (2017). Using Computerized Adaptive Testing to Detect Students’ Misconceptions: Exploration of Item Selection. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
Samejima, F. (1977). A Use of the Information Function in Tailored Testing. Applied Psychological Measurement, 1(2), 233-247.
PDF icon v01n2p233.pdf (893 KB)
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Riley, B. B., Funk, R., Dennis, M. L., Lennox, R. D., & Finkelman, M.. (2011). The Use of Decision Trees for Adaptive Item Selection and Score Estimation. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011 Riley Funk Dennis Lennox Finkelman Use of Decision Trees for Adaptive Item.pdf (456.04 KB)
Raîche, G.. (1994). Utilisation de la simulation en tant que méthodologie de recherche [Simulation methodology in research]. In . Association pour la recherche au collégial (Ed.) : L'en-quête de la créativité [In quest of creativity]. Proceeding of the 6th Congress of the ARC. Montréal: Association pour la recherche au collégial (ARC).
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Millman, J. (1984). Using microcomputers to administer tests: An alternate point of view. Educational Measurement: Issues and Practice, 3(2), 20-21.
Millan, E., Trella, M., Perez-de-la-Cruz, J. - L., & Conejo, R.. (2000). Using Bayesian Networks in Computerized Adaptive Tests. In . M. Ortega and J. Bravo (Eds.),Computers and Education in the 21st Century. Kluwer, pp. 217228.
Meijer, R. R., & van Krimpen-Stoop, E. M. L. A.. (2005). The use of person-fit statistics in computerized adaptive testing. LSAC Research Report Series. presented at the September, 2005, Newton, PA. USA: Law School Administration Council.
McDonald, R. P. (1985). Unidimensional and multidimensional models for item response theory. Proceedings of the 1982 Computerized Adaptive Testing Conference. presented at the 06/1982, Minneapolis, MN. USA: University of Minnesota, Department of Psychology, Psychometrics Methods Program.
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Lewis, C.,, & Sheehan, K.. (1990). Using Bayesian decision theory to design a computerized mastery test. Applied Psychological Measurement, 14, 367-386.
Lewis, C., & Sheehan, K.. (1990). Using Bayesian Decision Theory to Design a Computerized Mastery Test. Applied Psychological Measurement, 14(4), 367-386.
PDF icon v14n4p367.pdf (1.29 MB)
Laurier, M. (1993). Un test adaptatif en langue seconde : la perception des apprenants. In . R.Hivon (Éd.),L’évaluation des apprentissages. Sherbrooke : Éditions du CRP.
Lau, C. A., Abdel-Fattah, A. A., & Spray, J. A.. (1996). Using unidimensional IRT models for dichotomous classification via CAT with multidimensional data. In Poster session presented at the annual meeting of the American Educational Research Association. Boston MA.
Lai, H., Alves, C., & Gierl, M. J.. (2009). Using automatic item generation to address item demands for CAT. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat09lai.pdf (319.89 KB)
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De Champlain, A. F. (2017). Using Automated Item Generation in a Large-scale Medical Licensure Exam Program: Lessons Learned. In 2017 IACAT Conference. presented at the 08.2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=14N8hUc8qexAy5W_94TykEDABGVIJHG1h
De Beer, M. (2007). Use of CAT in dynamic testing. In . D. J. Weiss (Ed.), Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat2007debeer.pdf (133.49 KB)

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