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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.
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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.
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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
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.. (2010). A Method for the Comparison of Item Selection Rules in Computerized Adaptive Testing. Applied Psychological Measurement, 34, 438-452. doi:10.1177/0146621610370152
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. (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. (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., & 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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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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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
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. (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
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). Computer adaptive versus paper-and-pencil tests. Unpublished doctoral dissertation, University of Chicago.
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.. (1999). CAT for certification and licensure. In Innovations in computerized assessment (pp. 67-91). Mahwah, N.J.: Lawrence Erlbaum Associates.
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. A., & Lunz, M. E.. (1994). The equivalence of Rasch item calibrations and ability estimates across modes of administration. In Objective measurement: Theory into practice (Vol. 2, pp. 122-128). Norwood, N.J. USA: Ablex Publishing Co.
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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