Export 2016 results:
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CAT
Maslak, A., & Pozdniakov, S.. (2017). Analysis of CAT Precision Depending on Parameters of the Item Pool. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/file/d/1Bwe58kOQRgCSbB8x6OdZTDK4OIm3LQI3/view?usp=drive_web
Bontempo, B. D. (2011). Moving beyond Efficiency to Allow CAT to Provide Better Diagnostic Information. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011 Bontempo - CAT for Diagnostic Information.pdf (283 KB)
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
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
Chang, H. - H. (2011). Building Affordable CD-CAT Systems for Schools To Address Today's Challenges In Assessment. In Annual Conference of the International Association for Computerized Adaptive Testing.
PDF icon IACAT 2011 Affordable CAT Systems Chang.pdf (1.55 MB)
Verschoor, A., Radtke, I., & Eggen, T.. (2011). A Test Assembly Model for MST. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011 Verschoor Radtke Eggen Test Assmebly Model.pdf (339.24 KB)
van der Linden, W. J., Jiang, B., Ren, H., Choi, S. W., & Diao, Q.. (2017). Bayesian Perspectives on Adaptive Testing. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
Schouwstra, S. (2017). Adaptivity in a Diagnostic Educational Test. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
Riley, B. B., & Carle, A. C.. (2011). Detecting DIF between Conventional and Computerized Adaptive Testing: A Monte Carlo Study. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011 Riley Carle Detecting DIF between Conventional and Computerized Adaptive Testing.pdf (305.3 KB)
Bias
von Davier, M., Cho, Y., & Pan, T.. (2017). New Results on Bias in Estimates due to Discontinue Rules in Intelligence Testing. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
Bayesian Student Model
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.
Bayesian Perspective
van der Linden, W. J., Jiang, B., Ren, H., Choi, S. W., & Diao, Q.. (2017). Bayesian Perspectives on Adaptive Testing. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
Bayesian Decision Theory
Hsu, C. - L., Wang, W. - C., & Chen, S. Y.. (2017). Using Bayesian Decision Theory in Cognitive Diagnosis Computerized Adaptive Testing. In IACAT 2017 Conference. presented at the 08/2017, Niigata Japan: Niigata Seiryo University.
balanced block design
Verschoor, A. (2011). Optimal Calibration Designs for Computerized Adaptive Testing. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011 Verschoor Optimal Calibration Designs.pdf (164.38 KB)
Automated Speaking Test
Imai, S. (2017). Is CAT Suitable for Automated Speaking Test?. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
Automated item generation
De Champlain, A. F. (2017). Using Automated Item Generation in a Large-scale Medical Licensure Exam Program: Lessons Learned. In 2017 IACAT Conference. presented at the 08.2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=14N8hUc8qexAy5W_94TykEDABGVIJHG1h
Authoring environment
Guzmán, E., Conejo, R., & García-Hervás, E.. (2005). An Authoring Environment for Adaptive Testing. Educational Technology & Society, 8(3), 66-76.
Artificial
Ray, R. D. (2004). Adaptive computerized educational systems: A case study. In R. W. Malott, Evidence-based educational methods (pp. 143-169). San Diego, CA. USA: Elsevier Academic Press.
Architectures for educational technology system
Aptitude Tests/*statistics & numerical data
Stahl, J., Bergstrom, B., & Gershon, R. C.. (2000). CAT administration of language placement examinations. Journal of Applied Measurement, 1, 292-302.
Cheng, Y., & Chang, H. - H.. (2009). The maximum priority index method for severely constrained item selection in computerized adaptive testing. British Journal of Mathematical and Statistical Psychology, 62, 369-83. presented at the May.
Chen, S. - Y., & Doong, S. H.. (2008). Predicting item exposure parameters in computerized adaptive testing. British Journal of Mathematical and Statistical Psychology, 61, 75-91. presented at the May.
PDF icon ba08618.pdf (266.26 KB)
Analysis
Koppel, N. B. (2000). Lagrangian relaxation for constrained curve-fitting with binary variables: Applications in educational testing. Dissertation Abstracts International Section A: Humanities and Social Sciences, 61, 1063.

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