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Barrada, J. R., Olea, J., Ponsoda, V., & Abad, F. J.. (2010). A Method for the Comparison of Item Selection Rules in Computerized Adaptive Testing. Applied Psychological Measurement, 34, 438-452. doi:10.1177/0146621610370152
Barrada, J. R., Olea, J., Ponsoda, V., & Abad, F. J.. (2008). Incorporating randomness in the Fisher information for improving item-exposure control in CATs. British Journal of Mathematical and Statistical Psychology, 61, 493-513.
Barrada, J. R., Veldkamp, B. P., & Olea, J.. (2006). Multiple maximum exposure rates in computerized adaptive testing. In Paper presented at the SMABS-EAM Conference. Budapest, Hungary.
Barrada, J. R., Olea, J., & Ponsoda, V.. (2007). Methods for restricting maximum exposure rate in computerized adaptative testing. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 3, 14-23.
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Barrada, J. R., Olea, J., Ponsoda, V., & Abad, F. J.. (2009). Test overlap rate and item exposure rate as indicators of test security in CATs. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
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Barrada, J. R., Veldkamp, B. P., & Olea, J.. (2009). Multiple Maximum Exposure Rates in Computerized Adaptive Testing. Applied Psychological Measurement, 33, 58-73. doi:10.1177/0146621608315329
Baumer, M., Roded, K., & Gafni, N.. (2009). Assessing the equivalence of Internet-based vs. paper-and-pencil psychometric tests. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
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Bayroff, A. G. (1969). Psychometric problems with branching tests. In Paper presented at the annual meeting of the American Psychological Association.
Bayroff, A. G., Thomas, J. J., & Anderson, A. A.. (1960). Construction of an experimental sequential item test (Research Memorandum 60-1). Washington DC: Personnel Research Branch, Department of the Army.
Bayroff, A. G., & Seeley, L. C.. (1967). An exploratory study of branching tests (Technical Research Note 188). Washington DC: US Army Behavioral Science Research Laboratory. (NTIS No. AD 655263).
Bayroff, A. G., Ross, R. M., & Fischl, M. A.. (1974). Development of a programmed testing system (Technical Paper 259). Arlington VA: US Army Research Institute for the Behavioral and Social Sciences. NTIS No. AD A001534).
Beeman, P. B., & Waterhouse, J. K.. (2001). NCLEX-RN performance: predicting success on the computerized examination. Journal of Professional Nursing, 17, 158-165. presented at the Jul-Aug.
Bejar, I. I. (1995). From adaptive testing to automated scoring of architectural simulations. In . L. E. Mancall and P. G. Bashook (Eds.), Assessing clinical reasoning: The oral examination and alternative methods (pp. 115-130. Evanston IL: The American Board of Medical Specialities.
Bejar, I. I., Lawless, R. R., Morley, M. E., Wagner, M. E., Bennett, R. E., & Revuelta, J.. (2002). A feasibility study of on-the-fly item generation in adaptive testing (GRE Board Report No 98-12). Educational Testing Service RR02-23. Princeton NJ: Educational Testing Service. Note = “{PDF file, 193 KB}.
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Bejar, I. I. (1977). A comparison of conventional and adaptive achievement 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.
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Bejar, I. I. (1986). Final report: Adaptive testing of spatial abilities (ONR 150 531). Princeton, NJ: Educational Testing Service.
Bejar, I. I. (1977). Applications of adaptive testing in measuring achievement and performance. In . D. J. Weiss (Ed.), Applications of computerized adaptive testing (Research Report 77-1). Minneapolis MN: University of Minnesota, Department of Psychology, Psychometric Methods Program. .
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Bejar, I. I. (1999). On-the-fly adaptive tests: An application of generative modeling to quantitative reasoning. In Symposium presented at the annual meeting of the National Council on Measurement in Education. Montreal, Canada.
Bejar, I. I., & Weiss, D. J.. (1978). A construct validation of adaptive achievement testing (Research Report 78-4). Minneapolis MN: University of Minnesota, Department of Psychology, Psychometric Methods Program, Computerized Adaptive Testing Laboratory.
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Belov, D. I. (2014). Detecting Item Preknowledge in Computerized Adaptive Testing Using Information Theory and Combinatorial Optimization. Journal of Computerized Adaptive Testing, 2(3), 37-58. doi:10.7333/1410-0203037
Belov, D. I., Armstrong, R. D., & Weissman, A.. (2008). A monte carlo approach for adaptive testing with content constraints. Applied Psychological Measurement, 32, 431-446. doi:10.1177/0146621607309081
Belov, D. I., & Armstrong, R. D.. (2005). Monte Carlo Test Assembly for Item Pool Analysis and Extension. Applied Psychological Measurement, 29, 239-261. doi:10.1177/0146621605275413
Belov, D. I., Armstrong, R. D., & Weissman, A.. (2008). A Monte Carlo Approach for Adaptive Testing With Content Constraints. Applied Psychological Measurement, 32, 431-446. doi:10.1177/0146621607309081
Belov, D. I., & Armstrong, R. D.. (2009). Direct and Inverse Problems of Item Pool Design for Computerized Adaptive Testing. Educational and Psychological Measurement, 69, 533-547. doi:10.1177/0013164409332224
Belov, D. I., & Armstrong, R. D.. (2008). A Monte Carlo Approach to the Design, Assembly, and Evaluation of Multistage Adaptive Tests. Applied Psychological Measurement, 32, 119-137. doi:10.1177/0146621606297308
Ben-Porath, Y. S., Roper, B. L., & Butcher, J. N.. (1990). An empirical study of the computer adaptive MMPI-2. In Paper presented at the 25th Annual Symposium on recent developments in the MMPI/MMPI-2. Minneapolis MN.
Ben-Porath, Y. S., & Roper, B. L.. (1992). Computerized adaptive testing with the MMPI-2: Reliability, validity, and comparability to paper and pencil administration. In Paper presented at the 27th Annual Symposium on Recent Developments in the MMPI/MMPI-2. Minneapolis MN.
Ben-Porath, Y. S., Waller, N. G., Slutske, W. S., & Butcher, J. N.. (1988). A comparison of two methods for the adaptive administration of the MMPI-2 content scales. In Paper presented at the 86th Annual Convention of the American Psychological Association. Atlanta GA.
Bengs, D., Brefeld, U., & Kröhne, U.. (2018). Adaptive Item Selection Under Matroid Constraints. Journal of Computerized Adaptive Testing, 6(2), 15-36. doi:10.7333/1808-0602015
Berg, S. R. (1996). Dynamic scaling: An ipsative procedure using techniques from computer adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 56, 5824.
Berger, M. P. F.,, & Veerkamp, W. J. J.. (1997). Some new item selection criteria for adaptive testing. Journal of Educational and Behavioral Statistics, 22, 203-226.
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Bergstrom, B. (1992). Ability measure equivalence of computer adaptive and paper and pencil tests: A research synthesis. In Paper presented at the annual meeting of the American Educational Research Association. San Francisco.
Bergstrom, B. A., & Lunz, M. E.. (1991). Comparisons of computer adaptive and pencil and paper tests. Chicago IL: American Society of Clinical Pathologists.
Bergstrom, B. B., & Lunz, M. E.. (1991). Confidence in pass/fail decisions for computer adaptive and paper and pencil examinations. In Paper presented at the annual meeting of the American Educational Research Association. Chicago IL.
Bergstrom, B. (1992). Computer adaptive versus paper-and-pencil tests. Unpublished doctoral dissertation, University of Chicago.
Bergstrom, B. A., & Lunz, M. E.. (1990). The stability of Rasch pencil and paper item calibrations on computer adaptive tests. In Paper presented at the Midwest Objective Measurement Seminar. Chicago IL.

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