Veldkamp, B. P., van der Linden, W. J., & Ariel, A.. (2002). Mathematical-programming approaches to test item pool design (No. RR 02-09) (pp. 93-108). Twente, The Netherlands: University of Twente, Faculty of Educational Science and Technology.

Meijer, R. R. (2004). Using patterns of summed scores in paper-and-pencil tests and computer-adaptive tests to detect misfitting item score patterns. Journal of Educational Measurement, 41, 119-136.

Rammsayer, T., & Brandler, S.. (2003). Timing behavior in computerized adaptive testing: Response times for correct and incorrect answers are not related to general fluid intelligence/Zum Zeitverhalten beim computergestützten adaptiveb Testen: Antwortlatenzen bei richtigen und falschen Lösun. Zeitschrift für Differentielle und Diagnostische Psychologie, 24, 57-63.

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

Henson, R. K., & Douglas, J.. (2005). Test construction for cognitive diagnosis. Applied Psychological Measurement, 29, 262-277.

Núñez, R. M. N., & Pina, J. A. L.. (2006). Técnicas para detectar patrones de respuesta atípicos [Aberrant patterns detection methods]. Anales de Psicología, 22, 143-154.

Núñez, R. M. N., & Pina, J. A. L.. (2006). Técnicas para detectar patrones de respuesta atípicos [Aberrant patterns detection methods]. Anales de Psicología, 22, 143-154.

Ruscio, J., & Ruscio, A. M.. (2002). A structure-based approach to psychological measurement: Matching measurement models to latent structure. Assessment, 9, 4-16.

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.

Miceli, R., & Molinengo, G.. (2005). Somministrazione di test computerizzati di tipo adattivo: Un' applicazione del modello di misurazione di Rasch [Administration of computerized and adaptive tests: An application of the Rasch Model]. Testing Psicometria Metodologia, 12, 131-149.

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.

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

Chen, S. - Y., Ankenmann, R. D., & Spray, J. A.. (2003). The relationship between item exposure and test overlap in computerized adaptive testing. Journal of Educational Measurement, 40, 129-145.

Chen, S. - Y., Ankenmann, R. D., & Spray, J. A.. (2003). The relationship between item exposure and test overlap in computerized adaptive testing. Journal of Educational Measurement, 40, 129-145.

Chen, S. - Y., Ankenmann, R. D., & Spray, J. A.. (2003). The relationship between item exposure and test overlap in computerized adaptive testing. Journal of Educational Measurement, 40, 129-145.

Rubio, V. J., Aguado, D., Hontangas, P. M., & Hernández, J. M.. (2007). Psychometric properties of an emotional adjustment measure: An application of the graded response model. European Journal of Psychological Assessment, 23, 39-46.

Aguado, D., Rubio, V. J., Hontangas, P. M., & Hernández, J. M.. (2005). Propiedades psicométricas de un test Adaptativo Informatizado para la medición del ajuste emocional [Psychometric properties of an Emotional Adjustment Computerized Adaptive Test]. Psicothema, 17, 484-491.

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

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

Eggen, T., & Verschoor, A. J.. (2006). Optimal testing with easy or difficult items in computerized adaptive testing. Applied Psychological Measurement, 30, 379-393.

Eggen, T., & Verschoor, A. J.. (2006). Optimal testing with easy or difficult items in computerized adaptive testing. Applied Psychological Measurement, 30, 379-393.

Eggen, T., & Verschoor, A. J.. (2006). Optimal testing with easy or difficult items in computerized adaptive testing. Applied Psychological Measurement, 30, 379-393.

Chang, H. - H., & van der Linden, W. J.. (2003). Optimal stratification of item pools in α-stratified computerized adaptive testing. Applied Psychological Measurement, 27, 262-274.

Chang, H. - H., & van der Linden, W. J.. (2003). Optimal stratification of item pools in α-stratified computerized adaptive testing. Applied Psychological Measurement, 27, 262-274.

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

Edmonds, J., & Armstrong, R. D.. (2009). A mixed integer programming model for multiple stage adaptive testing. European Journal of Operational Research, 193, 342-350.

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.

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.

Mulcahey, M. J., Haley, S. M., Duffy, T., Pengsheng, N., & Betz, R. R.. (2008). Measuring physical functioning in children with spinal impairments with computerized adaptive testing. Journal of Pediatric Orthopedics, 28, 330-5. presented at the Apr-May.

Haley, S. M., Ni, P., Ludlow, L. H., & Fragala-Pinkham, M. A.. (2006). Measurement precision and efficiency of multidimensional computer adaptive testing of physical functioning using the pediatric evaluation of disability inventory. Archives of Physical Medicine and Rehabilitation, 87, 1223-9. presented at the Sep.

van Buuren, N., & Eggen, T. J. H. M.. (2017). Latent-Class-Based Item Selection for Computerized Adaptive Progress Tests. Journal of Computerized Adaptive Testing, 5(2), 22-43. doi:10.7333/1704-0502022

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.

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

Davis, L. L., & Dodd, B. G.. (2003). Item exposure constraints for testlets in the verbal reasoning section of the MCAT. Applied Psychological Measurement, 27, 335-356.

Jun, Z., Dongming, O., Shuyuan, X., Haiqi, D., & Shuqing, Q.. (2005). [Item characteristic curve equating under graded response models in IRT]. Acta Psychologica Sinica, 37, 832-838.

Jun, Z., Dongming, O., Shuyuan, X., Haiqi, D., & Shuqing, Q.. (2005). [Item characteristic curve equating under graded response models in IRT]. Acta Psychologica Sinica, 37, 832-838.

van der Linden, W. J., Veldkamp, B. P., & Reese, L. M.. (2000). An integer programming approach to item bank design. Applied Psychological Measurement, 24, 139-150.

van der Linden, W. J., Veldkamp, B. P., & Reese, L. M.. (2000). An integer programming approach to item bank design. Applied Psychological Measurement, 24, 139-150.

Smith, A. B., Rush, R., Velikova, G., Wall, L., Wright, E. P., Stark, D., et al.. (2007). The initial development of an item bank to assess and screen for psychological distress in cancer patients. Psycho-Oncology, 16, 724-732.

Smith, A. B., Rush, R., Velikova, G., Wall, L., Wright, E. P., Stark, D., et al.. (2007). The initial development of an item bank to assess and screen for psychological distress in cancer patients. Psycho-Oncology, 16, 724-732.

Balajthy, E. (2002). Information technology and literacy assessment. Reading and Writing Quarterly, 18, 369-373.

Balajthy, E. (2002). Information technology and literacy assessment. Reading and Writing Quarterly, 18, 369-373.

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

Huitzing, H. A., Veldkamp, B. P., & Verschoor, A. J.. (2005). Infeasibility in automated test assembly models: A comparison study of different methods. Journal of Educational Measurement, 42, 223-243.

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.

Chakravarty, E. F., Bjorner, J. B., & Fries, J. F.. (2007). Improving patient reported outcomes using item response theory and computerized adaptive testing. Journal of Rheumatology, 34, 1426-31. presented at the Jun.

Levy, R., Behrens, J. T., & Mislevy, R. J.. (2023). An Extended Taxonomy of Variants of Computerized Adaptive Testing. Journal of Computerized Adaptive Testing, 10(1). doi:10.7333/2302-100101

Smith, R. W. (2000). An exploratory analysis of item parameters and characteristics that influence item level response time. Dissertation Abstracts International Section A: Humanities and Social Sciences, 61, 1812.

Smith, R. W. (2000). An exploratory analysis of item parameters and characteristics that influence item level response time. Dissertation Abstracts International Section A: Humanities and Social Sciences, 61, 1812.

Kreiter, C. D., Ferguson, K., & Gruppen, L. D.. (1999). Evaluating the usefulness of computerized adaptive testing for medical in-course assessment. Academic Medicine, 74, 1125-8. presented at the Oct.

Cheng, P. E., & Liou, M.. (2000). Estimation of trait level in computerized adaptive testing. Applied Psychological Measurement, 24, 257-265.

Revuelta, J. (2004). Estimating ability and item-selection strategy in self-adapted testing: A latent class approach. Journal of Educational and Behavioral Statistics, 29, 379-396.

Hambleton, R. K. (2000). Emergence of item response modeling in instrument development and data analysis. Medical Care, 38, II60-II65.

Stark, S., & Drasgow, F.. (2002). An EM approach to parameter estimation for the Zinnes and Griggs paired comparison IRT model. Applied Psychological Measurement, 26, 208-227.

Chen, S. - Y., & Ankenmann, R. D.. (2004). Effects of practical constraints on item selection rules at the early stages of computerized adaptive testing. Journal of Educational Measurement, 41, 149-174.

Colvin, K., Keller, L. A., & Robin, F.. (2016). Effect of Imprecise Parameter Estimation on Ability Estimation in a Multistage Test in an Automatic Item Generation Context . Journal of Computerized Adaptive Testing, 4(1), 1-18. doi:10.7333/1608-040101

Cook, K. F., O'Malley, K. J., & Roddey, T. S.. (2005). Dynamic assessment of health outcomes: Time to let the CAT out of the bag?. Health Services Research, 40, 1694-1711.

Passos, V. L., Berger, M. P. F., & Tan, F. E. S.. (2008). The D-optimality item selection criterion in the early stage of CAT: A study with the graded response model. Journal of Educational and Behavioral Statistics, 33, 88-110.

Sijtsma, K. (2001). Developments in measurement of persons and items by means of item response models. Behaviormetrika, 28, 65-94.

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