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

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

Kingsbury, G., & Zara, T.. (2017). From Blueprints to Systems: An Integrated Approach to Adaptive Testing. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1CBaAfH4ES7XivmvrMjPeKyFCsFZOpQMJ

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

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

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.

Hart, D. L., Mioduski, J. E., & Stratford, P. W.. (2005). Simulated computerized adaptive tests for measuring functional status were efficient with good discriminant validity in patients with hip, knee, or foot/ankle impairments. Journal of Clinical Epidemiology, 58, 629-38.