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Wise, S. L. (2011). From Reliability to Validity: Expanding Adaptive Testing Practice to Find the Most Valid Score for Each Test Taker. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011 Wise From Reliability to Validity.pdf (619.18 KB)
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Embretson, S. E. (2002). Generating abstract reasoning items with cognitive theory. In P. Kyllomen, Item generation for test development (pp. 219-250). Mahwah, N.J. USA: Lawrence Erlbaum Associates, Inc.
Almond, R. G., & Mislevy, R. J.. (1999). Graphical models and computerized adaptive testing. Applied Psychological Measurement, 23, 223-37.
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Chien, Y., Shin, D., & Way, W. D.. (2011). A Heuristic Of CAT Item Selection Procedure For Testlets. In Annual Conference of the International Association for Computerized Adaptive Testing.
PDF icon IACAT 2011 Item Selection Chien Shin Way.pdf (209.21 KB)
Krishnan, E. (2011). High-throughput Health Status Measurement using CAT in the Era of Personal Genomics: Opportunities and Challenges. In Annual Conference of the International Association for Computerized Adaptive Testing.
PDF icon IACAT 2011 Health Care Krishnan.pdf (2.84 MB)
Reckase, M., Ju, U., & Kim, S.. (2019). How Adaptive Is an Adaptive Test: Are All Adaptive Tests Adaptive?. Journal of Computerized Adaptive Testing, 7(1), 1-14. doi:10.7333/1902-0701001
Reckase, M. D. (2017). How Adaptive is an Adaptive Test: Are all Adaptive Tests Adaptive?. In 2017 IACAT Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1Nj-zDCKk3DvHA4Jlp1qkb2XovmHeQfxu
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
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PDF icon ICAT- An Adaptive Testing Procedure for the Identification of Idiosyncratic Knowledge Patterns.pdf (322.62 KB)
Barnard, J. J. (2015). Implementing a CAT: The AMC Experience . Journal of Computerized Adaptive Testing, 3(1), 1-12. doi:10.7333/15100301001
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.
Chen, T., Huang, C. - Y., & Liu, C.. (2017). An Imputation Approach to Handling Incomplete Computerized Tests. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1vznZeO3nsZZK0k6_oyw5c9ZTP8uyGnXh
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
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.
Drasgow, F., & Olson-Buchanan, J. B.. (1999). Innovations in computerized assessment. Mahwah, N.J.: Lawrence Erlbaum Associates, Inc.
Chang, S. - H. (1991). Inter-subtest branching in computerized adaptive testing. Dissertation Abstracts International, 52, 140-141.
Jiao, H., Wang, S., & Lau, C. A.. (2004). An investigation of two combination procedures of SPRT for three-category classification decisions in computerized classification test. annual meeting of the American Educational Research Association. presented at the 04/2004, San Antonio, Texas.
PDF icon ji04-01.pdf (648.87 KB)
Jiao, H., Wang, S., & Lau, C. A.. (2004). An investigation of two combination procedures of SPRT for three-category classification decisions in computerized classification test. annual meeting of the American Educational Research Association. presented at the 04/2004, San Antonio, Texas.
PDF icon ji04-01.pdf (648.87 KB)
Reckase, M. D., He, W., Xu, J. - R., & Zhou, X.. (2017). Item Pool Design and Evaluation. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1ZAsqm1yNZlliqxEHcyyqQ_vOSu20xxZs
Segall, D. O. (2002). An item response model for characterizing test compromise. Journal of Educational and Behavioral Statistics, 27, 163-179.
Shi, Y. (2017). Item Response Time on Task Effect in CAT. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
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
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
Veldkamp, B. P. (2003). Item selection in polytomous CAT. In A. Okada, Shigenasu, K., Kano, Y., & Meulman, J., New developments in psychometrics (pp. 207–214). Tokyo, Japan: Psychometric Society, Springer.
PDF icon ve03027.pdf (78.48 KB)
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)
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
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Bulut, O., & Cormier, D.. (2017). A Large-Scale Progress Monitoring Application with Computerized Adaptive Testing. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1uGbCKenRLnqTxImX1fZicR2c7GRV6Udc
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
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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.
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.
PDF icon ba06157.pdf (56.69 KB)

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