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., 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., & 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., & 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.. (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., 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., & 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., & van der Linden, W. J.. (2003). Computerized adaptive testing with item cloning. Applied Psychological Measurement, 27, 247-261.

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. (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. (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., 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., 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

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.

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.. (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.. (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.

Giesinger, J. M., Petersen, M. A., Groenvold, M., Aaronson, N. K., Arraras, J. I., Conroy, T., et al.. (2011). Cross-cultural development of an item list for computer-adaptive testing of fatigue in oncological patients. Health and Quality of Life Outcomes. presented at the March 29, 2011.

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., & 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

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

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

Gibbons, R. D., Weiss, D. J., Kupfer, D. J., Frank, E., Fagiolini, A., Grochocinski, V. J., et al.. (2008). Using computerized adaptive testing to reduce the burden of mental health assessment. Psychiatric Services, 59, 361-8. presented at the Apr.

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.

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.

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. (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. (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., & 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., Rothrock, N., Hanrahan, R., Bass, M., & Cella, D.. (2010). The use of PROMIS and assessment center to deliver patient-reported outcome measures in clinical research. Journal of Applied Measurement, 11, 304-314.

Gershon, R. C. (2017). Issues in Trait Range Coverage for Patient Reported Outcome Measure CATs - Extending the Ceiling for Above-average Physical Functioning. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1ZC02F-dIyYovEjzpeuRdoXDiXMLFRuKb

Gershon, R. C. (1989). CAT administrator [Computer program]. Chicago: Micro Connections.

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.

Gershon, R. C. (2005). Computer adaptive testing. Journal of Applied Measurement, 6, 109-27.

Gershon, R. C. (2005). Computer adaptive testing. Journal of Applied Measurement , 6, 109-27.

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.

Georgiadou, E., Triantafillou, E., & Economides, A. A.. (2007). A review of item exposure control strategies for computerized adaptive testing developed from 1983 to 2005. Journal of Technology,Learning, and Assessment,, 5(8).

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.

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.

Garrison, W. M., & Baumgarten, B. S.. (1986). An application of computer adaptive testing with communication handicapped examinees. Educational and Psychological Measurement, 46, 23-35.

Garrison, W. M. (1985). Monitoring item calibrations from data yielded by an adaptive testing procedure. Educational Research Quarterly, 10, 9-12.

Gardner, W., Shear, K., Kelleher, K. J., Pajer, K. A., Mammen, O., Buysse, D., & Frank, E.. (2004). Computerized adaptive measurement of depression: A simulation study. BMC Psychiatry, 4, 13-23.

Gardner, W., Kelleher, K. J., & Pajer, K. A.. (2002). Multidimensional adaptive testing for mental health problems in primary care. Medical Care, 40, 812-23. presented at the Sep.

Garcia, D. A., Santa Cruz, C., Dorronsoro, J. R., & Rubio Franco, V. J.. (2000). Item selection algorithms in computerized adaptive testing. Psicothema, 12, 12-14.

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.

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.

Fujimori, S. (1995). A study of psychologically optimal level of item difficulty. Shinrigaku Kenkyu, 65, 446-53. presented at the Feb.

Fries, J. F., Cella, D., Rose, M., Krishnan, E., & Bruce, B.. (2009). Progress in assessing physical function in arthritis: PROMIS short forms and computerized adaptive testing. Journal of Rheumatology, 36, 2061-2066. presented at the Sep.

Fries, J. F., Bruce, B., & Cella, D.. (2005). The promise of PROMIS: using item response theory to improve assessment of patient-reported outcomes. Clinical and Experimental Rheumatology, 23, S53-7.

Friedman, D., Steinberg, A,, & Ree, M. J.. (1981). Adaptive testing without a computer. Catalog of Selected Documents in Psychology, Nov 1981, 11, 74-75 (Ms. No. 2350). AFHRL Technical Report 80-66.

Frick, T. W. (1992). Computerized adaptive mastery tests as expert systems. Journal of Educational Computing Research, 8(2), 187-213.

Frick, T. W. (1989). Bayesian adaptation during computer-based tests and computer-guided practice exercises. Journal of Educational Computing Research, 5(1), 89-114.

Frick, T. W. (1989). A comparison of an expert systems approach to computerized adaptive testing and an IRT model. Unpublished manuscript (submitted to American Educational Research Journal).

Frick, T. W. (1990). A comparison of three decision models for adapting the length of computer-based mastery tests. Journal of Educational Computing Research, 6(4), 479-513.

Frick, T. W., Plew, G. T., & Luk, H. - K.. (1989). EXSPRT: An expert systems approach to computer-based adaptive testing. In Paper presented at the annual meeting of the American Educational Research Association (Vol. San Francisco.).

Frick, T. W. (1992). Computerized adaptive mastery tests as expert systems. Journal of Educational Computing Research, 8, 187-213.

Frey, A. (2006). Validitätssteigerungen durch adaptives Testen [Increasing validity by adaptive testing].

Frey, A., & Seitz, N. - N.. (2009). Multidimensional adaptive testing in educational and psychological measurement: Current state and future challenges. Studies in Educational Evaluation, 35, 89-94.