Stocking, M. L., & Lewis, C.. (1995). A new method of controlling item exposure in computerized adaptive testing (Research Report 95-25). Princeton NJ: Educational Testing Service.

Harmes, J. C., Kromrey, J. D., & Parshall, C. G.. (2001). Online item parameter recalibration: Application of missing data treatments to overcome the effects of sparse data conditions in a computerized adaptive version of the MCAT. Unpublished manuscript.

Stocking, M. L., & Swanson, L.. (1996). Optimal design of item pools for computerized adaptive testing (Research Report 96-34). Princeton NJ: Educational Testing Service.

van der Linden, W. J. (2000). Optimal stratification of item pools in a-stratified computerized adaptive testing (Research Report 00-07). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.

Eggen, T., & Verschoor, A. J.. (2004). Optimal testing with easy items in computerized adaptive testing (Measurement and Research Department Report 2004-2). Arnhem, The Netherlands: Cito Group.

Eggen, T. (2001). Overexposure and underexposure of items in computerized adaptive testing (Measurement and Research Department Reports 2001-1). Arnhem, The Netherlands: CITO Groep.

Olivier, P. (1973). An overview of tailored testing (unpublished manuscript). Florida State University, Program of Educational Evaluation and Research Design.

Robinson, D., Porporino, F. J., & Millson, W. A.. (1991). Patterns of alcohol and drug use among federal offenders as assessed by the Computerized Lifestyle Screening Instrument. Ottawa, ON. Canada: Research and Statistics Branch, Correctional Service of Canada.

van Krimpen-Stoop, E. M. L. A., & Meijer, R. R.. (1998). Person fit based on statistical process control in an adaptive testing environment (Research Report 98-13). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.

Mills, C. N., & Stocking, M. L.. (1995). Practical issues in large-scale high-stakes computerized adaptive testing (Research Report 95-23). Princeton, NJ: Educational Testing Service.

Holman, R., Glas, C. A., Lindeboom, R., Zwinderman, A. H., & de Haan, R. J.. (2004). Practical methods for dealing with 'not applicable' item responses in the AMC Linear Disability Score project. Health and Quality of Life Outcomes. presented at the Jun 16.

Lord, F. M. (1974). Practical methods for redesigning a homogeneous test, also for designing a multilevel test (RB-74-30). Princeton NJ: Educational Testing Service.

Hardwicke, S., & White, K. E.. (1983). Predictive utility evaluation of adaptive testing: Results of the Navy research. Falls Church VA: The Rehab Group Inc.

Sympson, J. B., Weiss, D. J., & Ree, M. J.. (1982). Predictive validity of conventional and adaptive tests in an Air Force training environment (Report AFHRL-TR-81-40). Brooks Air Force Base TX: Air Force Human Resources Laboratory, Manpower and Personnel Division.

Hogan, P. F., Dall, T., & McBride, J. R.. (1996). Preliminary cost-effectiveness analysis of alternative ASVAB testing concepts at MET sites. Interim report to Defense Manpower Data Center. Fairfax, VA: Lewin-VHI, Inc.

Waters, C. J. (1964). Preliminary evaluation of simulated branching tests. U.S. Army Personnel Research Office Technical Research Note 140.

Huh, S. (2008). Preparing the implementation of computerized adaptive testing for high-stakes examinations. Journal of Educational Evaluation for Health Professions.

Koch, W. J., & Reckase, M. D.. (1979). Problems in application of latent-trait models to tailored testing (Research Report 79-1). Columbia MO: University of Missouri, Department of Psychology", (also presented at National Council on Measurement in Education, 1979: ERIC No. ED 177 196) note = ".

Segall, D. O. (1988). A procedure for scoring incomplete adaptive tests in high stakes testing. Unpublished manuscript. San Diego, CA: Navy Personnel Research and Development Center.

Krathwohl, D. (1959). Progress report on the sequential item test. East Lansing MI: Michigan State University, Bureau of Educational Research.

Divgi, D. R. (1987). Properties of some Bayesian scoring procedures for computerized adaptive tests (Research Memorandum CRM 87-161). Alexandria VA: Center for Naval Analyses.

Moreira Junior, F. J., & Andrade, D. F.. (2009). Proposta para a construo de um Teste Adaptativo Informatizado baseado na Teoria da Resposta ao Item (Proposal for the construction of a Computerized Adaptive Testing based on the Item Response Theory). Poster session presented at the Congresso Brasileiro de Teoria da Resposta ao Item, Florianpolis SC Brazil.

Betz, N. E., & Weiss, D. J.. (1976). Psychological effects of immediate knowledge of results and adaptive ability testing (Research Report 76-4). Minneapolis: University of Minnesota, Department of Psychology, Psychometric Methods Program, Computerized Adaptive Testing Laboratory.

National-Council-of-State-Boards-of-Nursing,. (1991). A psychometric comparison of computerized and paper-and-pencil versions of the national RN licensure examination. Chicago IL: Author, Unpublished report.

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.

Vale, C. D., & Weiss, D. J.. (1977). A rapid item search procedure for Bayesian adaptive testing (Research Report 77-4). Minneapolis: University of Minnesota, Department of Psychology, Psychometric Methods Program.

Chang, H. - H., & Ying, Z.. (1996). Recursive maximum likelihood estimation, sequential design, and computerized adaptive testing. Princeton NJ: Educational Testing Service.

Wise, L. L., McHenry, J. J., Chia, W. J., Szenas, P. L., & McBride, J. R.. (1988). Refinement of the Computerized Adaptive Screening Test (CAST) (Final Report, Contract No MDA203 06-C-0373). Washington, DC: American Institutes for Research.

Way, W. D., Swanson, L., Steffen, M., & Stocking, M. L.. (2001). Refining a system for computerized adaptive testing pool creation (Research Report 01-18). Princeton NJ: Educational Testing Service.

Taylor, C., Jamieson, J., Eignor, D. R., & Kirsch, I.. (1998). The relationship between computer familiarity and performance on computer-based TOEFL test tasks (Research Report 98-08). Princeton NJ: Educational Testing Service.

Moreno, K. E., Wetzel, D. C., McBride, J. R., & Weiss, D. J.. (1983). Relationship between corresponding Armed Services Vocational Aptitude Battery (ASVAB) and computerized adaptive testing (CAT) subtests (TR 83-27). San Diego CA: Navy Personnel Research and Development Center.

McBride, J. R., Martin, J. T., & Weiss, D. J.. (1983). Reliability and validity of adaptive ability tests in a military recruit population (Research Report 83-1). Minneapolis: Department of Psychology, Psychometric Methods Program, Computerized Testing Laboratory.

Martin, J. T., McBride, J. R., & Weiss, D. J.. (1983). Reliability and validity of adaptive vs. conventional tests in a military recruit population (Research Rep. No. 83-1). Minneapolis: University of Minnesota, Department of Psychology, Psychometric Methods Program, Computerized Adaptive Testing Laboratory.

McBride, J. R. (1976). Research on adaptive testing 1973-1976: A review of the literature. Unpublished manuscript, University of Minnesota.

Killcross, M. C. (1976). A review of research in tailored testing (Report APRE No. 9/76, Farnborough, Hants, U. K.: Ministry of Defence, Army Personnel Research Establishment.).

Hambleton, R. K. (1973). A review of testing and decision-making procedures (Technical Bulletin No. 15. Iowa City IA: American College Testing Program.

Stocking, M. L. (1996). Revising item responses in computerized adaptive testing: A comparison of three models (RR-96-12). Princeton NJ: Educational Testing Service.

Stocking, M. L. (1988). Scale drift in on-line calibration (Research Report RR-88-28-ONR). Princeton NJ: Educational Testing Service.

Stocking, M. L. (1988). Scale drift in on-line calibration (Tech Rep. No. ERIC ED389710). Educational Testing Service, Princeton, N.J.

Way, W. D., Gawlick, L. A., & Eignor, D. R.. (2001). Scoring alternatives for incomplete computerized adaptive tests (Research Report 01-20). Princeton NJ: Educational Testing Service.

Rijn, P. W. van,, Eggen, T., Hemker, B. T., & Sanders, P. F.. (2000). A selection procedure for polytomous items in computerized adaptive testing (Measurement and Research Department Reports 2000-5). Arnhem, The Netherlands: Cito.

Lord, F. M. (1970). The self-scoring flexilevel test (RB-7043). Princeton NJ: Educational Testing Service.

van der Linden, W. J., & Mead, A. D.. (2003). A sequential Bayes procedure for item calibration in multi-stage testing. Manuscript in preparation.

Linn, R. L., Rock, D. A., & Cleary, T. A.. (1970). Sequential testing for dichotomous decisions. College Entrance Examination Board Research and Development Report (RDR 69-70, No 3", and Educational Testing Service RB-70-31). Princeton NJ: Educational Testing Service.

Stocking, M. L. (1969). Short tailored tests (RB-69-63). Princeton NJ: Educational Testing Service.

Veerkamp, W. J. J. (1994). A simple and fast item selection procedure for adaptive testing. Research (Report 94-13). University of Twente.

Yi, Q., & Nering, M, L.. (1998). Simulating nonmodel-fitting responses in a CAT Environment (Research Report 98-10). Iowa City IA: ACT Inc. (Also presented at National Council on Measurement in Education, 1999: ERIC No. ED 427 042).

Meijer, R. R., & van Krimpen-Stoop, E. M. L. A.. (1998). Simulating the null distribution of person-fit statistics for conventional and adaptive tests (Research Report 98-02). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.

Stocking, M. L., Ward, W. C., & Potenza, M. T.. (1997). Simulating the use of disclosed items in computerized adaptive testing (Research Report 97-10). Princeton NJ: Educational Testing Service.

Betz, N. E., & Weiss, D. J.. (1974). Simulation studies of two-stage ability testing (Research Report 74-4). Minneapolis: Department of Psychology, Psychometric Methods Program.

Zwick, R., Thayer, D., & Wingersky, M.. (1993). A simulation study of methods for assessing differential item functioning in computer-adaptive tests (Educational Testing Service Research Rep No RR 93-11). Princeton NJ: Educational Testing Service.

Holland, P. W., & Zwick, R.. (1991). A simulation study of some simple approaches to the study of DIF for CATs. Internal memorandum, Educational Testing Service.

Vale, C. D., & Weiss, D. J.. (1975). A simulation study of stradaptive ability testing (Research Report 75-6). Minneapolis: University of Minnesota, Department of Psychology, Psychometric Methods Program.

Way, W. D. (1994). A simulation study of the Mantel-Haenszel procedure for detecting DIF with the NCLEX using CAT (Technical Report xx-xx). Princeton NJ: Educational Testing Service.

Luecht, R. M. (1995). Some alternative CAT item selection heuristics (Internal report). Philadelphia PA: National Board of Medical Examiners.

Stocking, M. L. (1988). Some considerations in maintaining adaptive test item pools (Research Report 88-33-ONR). Princeton NJ: Educational Testing Service.

Stocking, M. L. (1988). Some considerations in maintaining adaptive test item pools (Tech Rep. No. ERIC ED391814). Educational Testing Service, Princeton, N.J.

Wainer, H.,, Kaplan, B., & Lewis, C.. (1991). Some empirical guidelines for building testlets (Technical Report 91-56). Princeton NJ: Educational Testing Service, Program Statistics Research.

Veerkamp, W. J., & Berger, M. P. F.. (1994). Some new item selection criteria for adaptive testing (Research Rep 94-6). Enschede, The Netherlands: University of Twente, Department of Educational Measurement and Data Analysis.

Wainer, H.,. (1992). Some practical considerations when converting a linearly administered test to an adaptive format (Research Report 92-21 or 13?). Princeton NJ: Educational Testing Service.