Bode, R. K., Lai, J. - S., Dineen, K., Heinemann, A. W., Shevrin, D., Von Roenn, J., & Cella, D.. (2006). Expansion of a physical function item bank and development of an abbreviated form for clinical research. Journal of Applied Measurement, 7, 1-15.

Coyle, J. (2001). Final answer?. American School Board Journal, 188, 24-26.

Almond, R. G., & Mislevy, R. J.. (1999). Graphical models and computerized adaptive testing. Applied Psychological Measurement, 23, 223-37.

Tai, M. Him, Cooperman, A. W., DeWeese, J. N., & Weiss, D. J.. (2023). How Do Trait Change Patterns Affect the Performance of Adaptive Measurement of Change?. Journal of Computerized Adaptive Testing, 10(3), 32-58. doi:10.7333/2307-1003032

Kingsbury, G. G., & Houser, R. L.. (2008). ICAT: An adaptive testing procedure for the identification of idiosyncratic knowledge patterns. Zeitschrift für Psychologie, 216, 40-48.

Grodenchik, D. J. (2002). The implications of the use of non-optimal items in a Computer Adaptive Testing (CAT) environment. Dissertation Abstracts International: Section B: the Sciences & Engineering, 63, 1606.

Leung, C. - K., Chang, H. - H., & Hau, K. - T.. (2003). Incorporation of Content Balancing Requirements in Stratification Designs for Computerized Adaptive Testing. Educational and Psychological Measurement, 63, 257-70.

Li, Y. H., & Schafer, W. D.. (2005). Increasing the homogeneity of CAT's item-exposure rates by minimizing or maximizing varied target functions while assembling shadow tests. Journal of Educational Measurement, 42, 245-269.

Reckase, M. D. (2024). The Influence of Computerized Adaptive Testing on Psychometric Theory and Practice. Journal of Computerized Adaptive Testing, 11(1). doi:10.7333/2403-1101001

Chang, S. - H. (1991). Inter-subtest branching in computerized adaptive testing. Dissertation Abstracts International, 52, 140-141.

Segall, D. O. (2002). An item response model for characterizing test compromise. Journal of Educational and Behavioral Statistics, 27, 163-179.

Lai, J. - S., Dineen, K., Reeve, B. B., Von Roenn, J., Shervin, D., McGuire, M., et al.. (2005). An item response theory-based pain item bank can enhance measurement precision. Journal of Pain and Symptom Management, 30, 278-88.

Finkelman, M. D., Weiss, D. J., & Kim-Kang, G.. (2010). Item Selection and Hypothesis Testing for the Adaptive Measurement of Change. Applied Psychological Measurement, 34(4), 238-254. doi:10.1177/0146621609344844

Ping, C., Shuliang, D., Haijing, L., & Jie, Z.. (2006). [Item Selection Strategies of Computerized Adaptive Testing based on Graded Response Model.]. Acta Psychologica Sinica, 38, 461-467.

Hontangas, P., Ponsoda, V., Olea, J., & Abad, F. J.. (2000). Los tests adaptativos informatizados en la frontera del siglo XXI: Una revisión [Computerized adaptive tests at the turn of the 21st century: A review]. Metodología de las Ciencias del Comportamiento, 2, 183-216.

Luecht, R. M., de Champlain, A., & Nungester, R. J.. (1998). Maintaining content validity in computerized adaptive testing. Advances in Health Sciences Education, 3, 29-41.

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.

van der Linden, W. J., & Reese, L. M.. (1998). A model for optimal constrained adaptive testing. Applied Psychological Measurement, 22, 259-270.

Kim, H. - O. (1994). Monte Carlo simulation comparison of two-stage testing and computerized adaptive testing. Dissertation Abstracts International Section A: Humanities & Social Sciences, 54, 2548.

Tseng, F. - L. (2001). Multidimensional adaptive testing using the weighted likelihood estimation. Dissertation Abstracts International Section A: Humanities & Social Sciences, 61, 4746.

van der Linden, W. J. (1999). Multidimensional adaptive testing with a minimum error-variance criterion. Journal of Educational and Behavioral Statistics, 24, 398-412.

Luecht, R. M. (1996). Multidimensional computerized adaptive testing in a certification or licensure context. Applied Psychological Measurement, 20, 389-404.

DeMars, C. E. (2022). The (non)Impact of Misfitting Items in Computerized Adaptive Testing. Journal of Computerized Adaptive Testing, 9(2). doi:10.7333/2211-0902008

Buyske, S. G. (1999). Optimal design for item calibration in computerized adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 59, 4220.

Meijer, R. R. (2002). Outlier detection in high-stakes certification testing. Journal of Educational Measurement, 39, 219-233.

Tejada, R., & Antonio, J.. (2001). Pasado, presente y futuro de los test adaptativos informatizados: Entrevista con Isaac I. Béjar [Past, present and future of computerized adaptive testing: Interview with Isaac I. Béjar]. Psicothema, 13, 685-690.

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.

Ben-Porath, Y. S., Slutske, W. S., & Butcher, J. N.. (1989). A real-data simulation of computerized adaptive administration of the MMPI. Psychological Assessment, 1, 18-22.

Moreno, K. E., Wetzel, C. D., McBride, J. R., & Weiss, D. J.. (1984). Relationship between corresponding Armed Services Vocational Aptitude Battery (ASVAB) and computerized adaptive testing (CAT) subtests. Applied Psychological Measurement, 8, 155-163.

Stocking, M. L. (1997). Revising item responses in computerized adaptive tests: A comparison of three models. Applied Psychological Measurement, 21, 129-142.

Conejo, R., Guzmán, E., Millán, E., Trella, M., Pérez-De-La-Cruz, J. L., & Ríos, A.. (2004). Siette: a web-based tool for adaptive testing. International Journal of Artificial Intelligence in Education, 14, 29-61.

Hart, D. L., Mioduski, J. E., Werneke, M. W., & Stratford, P. W.. (2006). Simulated computerized adaptive test for patients with lumbar spine impairments was efficient and produced valid measures of function. Journal of Clinical Epidemiology, 59, 947–956. doi:10.1016/j.jclinepi.2005.10.017

Hart, D. L., Cook, K. F., Mioduski, J. E., Teal, C. R., & Crane, P. K.. (2006). Simulated computerized adaptive test for patients with shoulder impairments was efficient and produced valid measures of function. Journal of Clinical Epidemiology, 59(3), 290-298.

Stocking, M. L., Ward, W. C., & Potenza, M. T.. (1998). Simulating the use of disclosed items in computerized adaptive testing. Journal of Educational Measurement, 35, 48-68.

de Ayala, R. J., Dodd, B. G., & Koch, W. R.. (1990). A simulation and comparison of flexilevel and Bayesian computerized adaptive testing. Journal of Educational Measurement, 27, 227-239.

van der Linden, W. J. (2008). Some new developments in adaptive testing technology. Zeitschrift für Psychologie, 216, 3-11.

Davis, L. L. (2004). Strategies for controlling item exposure in computerized adaptive testing with the generalized partial credit model. Applied Psychological Measurement, 28, 165-185.

Veerkamp, W. J. J. (2000). Taylor approximations to logistic IRT models and their use in adaptive testing. Journal of Educational and Behavioral Statistics, 25, 307-343.

Green, B. F., Bock, R. D., Humphreys, L. G., Linn, R. L., & Reckase, M. D.. (1984). Technical guidelines for assessing computerized adaptive tests. Journal of Educational Measurement, 21, 347-360.

Powell, Z. - H. E. (1992). Test anxiety and test performance under computerized adaptive testing methods. Dissertation Abstracts International, 52, 2518.

Passos, V. L., Berger, M. P. F., & Tan, F. E.. (2007). Test design optimization in CAT early stage with the nominal response model. Applied Psychological Measurement, 31, 213-232.

Finkelman, M., & Wang, C.. (2019). Time-Efficient Adaptive Measurement of Change. Journal of Computerized Adaptive Testing, 7(2), 15-34. doi:10.7333/1909-0702015

van der Linden, W. J., & van Krimpen-Stoop, E. M. L. A.. (2003). Using response times to detect aberrant responses in computerized adaptive testing. Psychometrika, 68, 251-265.

van der Linden, W. J., Scrams, D. J., & Schnipke, D. L.. (1999). Using response-time constraints to control for differential speededness in computerized adaptive testing. Applied Psychological Measurement, 23, 195-210.

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.

Spray, J. A., & Reckase, M. D.. (1987). The effect of item parameter estimation error on decisions made using the sequential probability ratio test (No. Research Report 87-1). ACT Research Report Series. Iowa City, IA. USA: DTIC Document.

Schoonman, W. (1989). An applied study on computerized adaptive testing. Faculty of Behavioural and Social Sciences. University of Groingen, Groningen, The Netherlands.