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language testing
Imai, S. (2017). Is CAT Suitable for Automated Speaking Test?. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
Yuyu, L., Chenglin, Z., & Jie, R.. (2017). MHK-MST Design and the Related Simulation Study. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
Large-Scale tests
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
Latent class analysis
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
Licensure
Gershon, R. C. (2005). Computer adaptive testing. Journal of Applied Measurement, 6, 109-27.
Licensure, Pharmacy/history/*legislation & jurisprudence
Newton, D. W., Boyle, M., & Catizone, C. A.. (2008). The NAPLEX: evolution, purpose, scope, and educational implications. American Journal of Pharmaceutical Education, 72, 33. presented at the Apr 15.
likelihood ratio
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
Likert scales
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)
Linear Models
PDF icon ga02812.pdf (131.16 KB)
Morin, M. (2017). Adapting Linear Models for Optimal Test Design to More Complex Test Specifications. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
Linear programming
Edmonds, J., & Armstrong, R. D.. (2009). A mixed integer programming model for multiple stage adaptive testing. European Journal of Operational Research, 193, 342-350.
Literacy
Balajthy, E. (2002). Information technology and literacy assessment. Reading and Writing Quarterly, 18, 369-373.
local equating
van der Linden, W. J. (2006). Equating scores from adaptive to linear tests. Applied Psychological Measurement, 30, 493-508.
log-odds scoring
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
Lord's chi-square statistic
Meng, H., Steinkamp, S., Jones, P., & Matthews-Lopez, J.. (2011). Practitioner’s Approach to Identify Item Drift in CAT. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011Meng Item Drift.pdf (337.44 KB)
low test taking motivation
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)