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

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

Magis, D., & Raîche, G.. (2011). catR: An R Package for Computerized Adaptive Testing. Applied Psychological Measurement. doi:10.1177/0146621611407482

Hol, A. M., Vorst, H. C. M., & Mellenbergh, G. J.. (2008). Computerized Adaptive Testing of Personality Traits. Zeitschrift für Psychologie / Journal of Psychology, 216(1), 12-21. doi:10.1027/0044-3409.216.1.12

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.

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.

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

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.

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.

Hambleton, R. K. (2005). Applications of item response theory to improve health outcomes assessment: Developing item banks, linking instruments, and computer-adaptive testing. In C. C. Gotay & Snyder, C., Outcomes assessment in cancer (pp. 445-464). Cambridge, UK: Cambridge University Press.

Guzmán, E., Conejo, R., & García-Hervás, E.. (2005). An Authoring Environment for Adaptive Testing. Educational Technology & Society, 8(3), 66-76.

Desmarais, M. C., & Pu, X.. (2005). A Bayesian student model without hidden nodes and its comparison with item response theory. International Journal of Artificial Intelligence in Education, 15, 291-323.

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.

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.

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.

Schneider, R. J., Goff, M., Anderson, S., & Borman, W. C.. (2003). Computerized adaptive rating scales for measuring managerial performance. International Journal of Selection and Assessment, 11, 237-246.

Cheng, P. E., & Liou, M.. (2003). Computerized adaptive testing using the nearest-neighbors criterion. Applied Psychological Measurement, 27, 204-216.

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.

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.

Pastor, D. A., Dodd, B. G., & Chang, H. - H.. (2002). A comparison of item selection techniques and exposure control mechanisms in CATs using the generalized partial credit model. Applied Psychological Measurement, 26, 147-163.

Ban, J. - C., Hanson, B. A., Yi, Q., & Harris, D. J.. (2002). Data sparseness and on-line pretest item calibration-scaling methods in CAT. Journal of Educational Measurement, 39, 207-218.

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.

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

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

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

Thissen, D., Nelson, L. A., & Swygert, K. A.. (2001). Item response theory applied to combinations of multiple-choice and constructed-response items--approximation methods for scale scores. In Test scoring (pp. 289-315). Mahwah, N.J. USA: Lawrence Erlbaum Associates.

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

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.

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.