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Gafni, N., Cohen, Y., Roded, K., Baumer, M., & Moshinsky, A.. (2009). Applications of CAT in admissions to higher education in Israel: Twenty-two years of experience. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
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Gallagher, A., Bridgeman, B., & Calahan, C.. (1999). Fairness in computer-based testing. In Paper presented at the annual meeting of the National Council on Measurement in Education. Montreal, Canada.
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Garrison, W. M., & Baumgarten, B. S.. (1982). Assessing mathematics achievement with a tailored testing program. In Paper presented at the annual meeting of the American Educational Research Association. New York.
Georgiadou, E., Triantafillou, E., & Economides, A. A.. (2006). Evaluation parameters for computer adaptive testing. British Journal of Educational Technology, Vol. 37(No 2), 261-278.
PDF icon ge07-01.pdf (319.09 KB)
Geranpayeh, A. (2001). CB BULATS: Examining the reliability of a computer based test using test-retest method. Cambridge ESOL Research Notes, Issue 5, July 2001, pp.
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Gershon, R. C. (2005). Computer adaptive testing. Journal of Applied Measurement, 6, 109-27.
Gershon, R. C. (1996). The effect of individual differences variables on the assessment of ability for Computerized Adaptive Testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 57, 4085.
Gershon, R. C. (1994). CAT software system [computer program. Chicago IL: Computer Adaptive Technologies.
Gershon, R. C., & Bergstrom, B.. (1995). Does cheating on CAT pay: Not. In Paper presented at the annual meeting of the American Educational Research Association. San Francisco.
Gershon, R. C. (2004). The ABCs of Computerized Adaptive Testing. In . T. M. Wood and W. Zhi (Eds.), Measurement issues and practice in physical activity. Champaign, IL: Human kinetics.
Gershon, R. C. (1989). CAT administrator [Computer program]. Chicago: Micro Connections.
Gershon, R. C. (2005). Computer adaptive testing. Journal of Applied Measurement , 6, 109-27.
Gershon, R. C. (2017). FastCAT – Customizing CAT Administration Rules to Increase Response Efficiency. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1oPJV-x0p9hRmgJ7t6k-MCC1nAoBSFM1w
Gershon, R. C., & Bergstrom, B.. (1991). Individual differences in computer adaptive testing: Anxiety, computer literacy, and satisfaction. In Paper presented at the annual meeting of the National Council on Measurement in Education.
Gialluca, K. A., & Weiss, D. J.. (1979). Efficiency of an adaptive inter-subtest branching strategy in the measurement of classroom achievement (Research Report 79-6). Minneapolis: University of Minnesota, Department of Psychology, Psychometric Methods Program.
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Gialluca, K. A. (2011). Walking the Tightrope: Using Better Content Control to Improve CAT. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011 Gialluca Content Control in CAT.pdf (131.56 KB)
Gibbons, R. D., Weiss, D. J., Pilkonis, P. A., Frank, E., Moore, T., Kim, J. B., & Kupfer, D. J.. (2012). Development of a computerized adaptive test for depression. Archives of General Psychiatry, 69(11), 1105-1112. doi:10.1001/archgenpsychiatry.2012.14
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Gierl, M., & Bulut, O.. (2017). Generating Rationales to Support Formative Feedback in Adaptive Testing. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1O5KDFtQlDLvhNoDr7X4JO4arpJkIHKUP
Gierl, M. J., & Lai, H.. (2018). Using Automatic Item Generation to Create Solutions and Rationales for Computerized Formative Testing. Applied Psychological Measurement, 42, 42-57. doi:10.1177/0146621617726788
Gierl, M. J., & Zhou, J.. (2008). Computer Adaptive-Attribute Testing A New Approach to Cognitive Diagnostic Assessment. Zeitschrift für Psychologie / Journal of Psychology, 216(1), 29-39. doi:10.1027/0044-3409.216.1.29
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Giouroglou, H., & Economides, A. A.. (2005). An implemented theoretical framework for a common European foreign language adaptive assessment. In . Proceedings ICODL 2005, 3rd ternational Conference on Open and Distance Learning 'Applications of Pedagogy and Technology',339-350,Greek Open University, Patra, Greece.
Giouroglou, H., & Economides, A. A.. (2003). Cognitive CAT in foreign language assessment. In Proceedings 11th International PEG Conference. Powerful ICT Tools for Learning and Teaching, PEG '03, CD-ROM, 2003.
Giouroglou, H., & Economides, A. A.. (2004). State-of-the-art and adaptive open-closed items in adaptive foreign language assessment. In . Proceedings 4th Hellenic Conference with ternational Participation: Informational and Communication Technologies in Education, Athens,747-756.
Giouroglou, H., & Economides, A. A.. (2005). The development of the adaptive item language assessment (AILA) for mixed-ability students. In . Proceedings E-Learn 2005 World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 643-650, Vancouver, Canada, AACE, October 2005.
Glas, C. A. W., & van der Linden, W. J.. (2001). Modeling variability in item parameters in CAT. In Paper presented at the Annual Meeting of the National Council on Measurement in Education. Seattle WA.
Glas, C. A. W., & van der Linden, W. J.. (2003). Computerized adaptive testing with item cloning. Applied Psychological Measurement, 27, 247-261.
Glas, C. A. W., Meijer, R. R., & van Krimpen-Stoop, E. M. L. A.. (1998). Statistical tests for person misfit in computerized adaptive testing (Research Report 98-01). Enschede, The Netherlands : University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.
Glas, C. A. W. (2010). Item Parameter Estimation and Item Fit Analysis. In Elements of Adaptive Testing (pp. 269-288). doi:10.1007/978-0-387-85461-8
Glas, C. A. W., Meijer, R. R., & van Krimpen-Stoop, E. M.. (1998). Statistical tests for person misfit in computerized adaptive testing (No. 98-01) (p. 28). Enschede, The Netherlands: Faculty of Educational Science and Technology, Univeersity of Twente.
Glas, C. A. W. (1998). Quality control of on-line calibration in computerized adaptive testing (Research Report 98-03). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.
Glas, C. A. W. (1988). The Rasch model and multi-stage testing. Journal of Educational and Behavioral Statistics, 13, 45-52.
Glas, C. A. W., & Veerkamp, W. J. J.. (1999). Item calibration and parameter drift. In . W. J. van der Linden and C. A. W. Glas (Eds.), Computer adaptive testing: Theory and practice. Norwell MA: Kluwer.
Glas, C. A. W., Wainer, H.,, & Bradlow, E. T.. (2000). MML and EAP estimation in testlet-based adaptive testing. In Computerized adaptive testing: Theory and practice (pp. 271-287). Dordrecht, The Netherlands: Kluwer Academic Publishers.
Glas, C. A. W. (2000). Item calibration and parameter drift. In . W. J. van der linden and C. A. W. Glas (Eds.). Computerized adaptive testing: Theory and practice (pp.183-199). Norwell MA: Kluwer Academic.
Glas, C. A. W., & Vos, H. J.. (2000). Adaptive mastery testing using a multidimensional IRT model and Bayesian sequential decision theory (Research Report 00-06). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.
Glas, C. A. W., & Vos, H. J.. (2010). Adaptive Mastery Testing Using a Multidimensional IRT Model. In Elements of Adaptive Testing (pp. 409-431). doi:10.1007/978-0-387-85461-8
Glas, C. A. W., & van der Linden, W. J.. (2010). Marginal likelihood inference for a model for item responses and response times. British Journal of Mathematical and Statistical Psychology, 63, 603-26.
Glas, C. A. W., & Vos, H. J.. (1998). Adaptive mastery testing using the Rasch model and Bayesian sequential decision theory (Research Report 98-15). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.
Glas, C. A. W., van der Linden, W. J., & Geerlings, H.. (2010). Estimation of the Parameters in an Item-Cloning Model for Adaptive Testing. In Elements of Adaptive Testing (pp. 289-314). doi:10.1007/978-0-387-85461-8
Gnambs, T., & Batinic, B.. (2011). Polytomous Adaptive Classification Testing: Effects of Item Pool Size, Test Termination Criterion, and Number of Cutscores. Educational and Psychological Measurement, 71, 1006-1022. doi:10.1177/0013164410393956
Gonçalves, J. P., Aluisio, S. M., de Oliveira, L. H. M., & Oliveira Jr., O. N.. (2004). A Learning Environment for English for Academic Purposes Based on Adaptive Tests and Task-Based Systems. In J. C. Lester, Vicari, R. M., & Paraguaçu, F., Intelligent Tutoring Systems (Vol. 3220, pp. 1-11). Springer Berlin / Heidelberg. doi:10.1007/978-3-540-30139-4_1
Gorham, W. A. (1976). Opening remarks. In . W. H. Gorham (Chair), Computers and testing: Steps toward the inevitable conquest (PS 76-1). Symposium presented at the 83rd annual convention of the APA, Chicago IL. Washington DC: U.S. Civil Service Commission, Personnel Research and Developement Center.
Gorman, S. (1980). A comparison of the accuracy of Bayesian adaptive and static tests using a correction for regression. In . D. J. Weiss (Ed.), Proceedings of the 1979 Computerized Adaptive Testing Conference (pp. 35-50). Minneapolis MN: University of Minnesota, Department of Psychology, Computerized Adaptive Testing Laboratory.
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Gorman, S. (1980). A comparative evaluation of two Bayesian adaptive ability estimation procedures. Unpublished doctoral dissertation, the Catholic University of America.
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Gorman, S. (1977). Computerized Adaptive Testing with a Military Population. In . D. J. Weiss (Ed.), Proceedings of the 1977 Computerized Adaptive Testing Conference. Minneapolls MN: University of Minnesota, Department of Psychology, Psychometric Methods Program.
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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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