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Kullback–Leibler information
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
Kullback-Leibler information
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
Kullback-Leibler divergence
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
knowledge-based model construction
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
Keynote
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
item-selection strategies
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.
item selection strategies
Chandra, I. (2017). Item Selection Strategies for Developing CAT in Indonesia. In IACAT 2017 Conference. presented at the 08/2017, Niigata Japan: Niiagata Seiryo University. Retrieved from https://www.youtube.com/watch?v=2KuFrRATq9Q
item selection
Tang, K. L. (1996). A comparison of the traditional maximum information method and the global information method in CAT item selection. In annual meeting of the National Council on Measurement in Education. New York, NY USA.
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 Buuren, N., Straat, H., Eggen, T., & Fox, J. - P.. (2017). Adaptive Item and Feedback Selection in Personalized Learning with a Network Approach. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
van Groen, M., Eggen, T., & Veldkamp, B.. (2011). Item Selection Methods based on Multiple Objective Approaches for Classification of Respondents into Multiple Levels. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011 van Groen Eggen Veldkamp Item Selection.pdf (593.82 KB)
Item Response Theory
Cheng, P. E., & Liou, M.. (2003). Computerized adaptive testing using the nearest-neighbors criterion. Applied Psychological Measurement, 27, 204-216.
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
Meijer, R. R. (2002). Outlier detection in high-stakes certification testing. Journal of Educational Measurement, 39, 219-233.
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.
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
PDF icon Computerized Adaptive Testing of Personality Traits.pdf (518.72 KB)
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.
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.
Guzmán, E., Conejo, R., & García-Hervás, E.. (2005). An Authoring Environment for Adaptive Testing. Educational Technology & Society, 8(3), 66-76.
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
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.

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