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Journal Article
Glas, C. A. W., & van der Linden, W. J.. (2003). Computerized adaptive testing with item cloning. Applied Psychological Measurement, 27, 247-261.
Green, B. F. (1988). Critical problems in computer-based psychological measurement, , ,. Applied Measurement in Education, 1, 223-231.
PDF icon co03-01.pdf (606.41 KB)
Gibbons, R. D., Weiss, D. J., Pilkonis, P. A., Frank, E., Moore, T., Kim, J. B., & Kupfer, D. J.. (2012). Development of a computerized adaptive test for depression. Archives of General Psychiatry, 69(11), 1105-1112. doi:10.1001/archgenpsychiatry.2012.14
Gershon, R. C. (1996). The effect of individual differences variables on the assessment of ability for Computerized Adaptive Testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 57, 4085.
Yang, X., Poggio, J. C., & Glasnapp, D. R.. (2006). Effects of Estimation Bias on Multiple-Category Classification With an IRT-Based Adaptive Classification Procedure. Educational and Psychological Measurement, 66, 545-564. doi:10.1177/0013164405284031
Georgiadou, E., Triantafillou, E., & Economides, A. A.. (2006). Evaluation parameters for computer adaptive testing. British Journal of Educational Technology, Vol. 37(No 2), 261-278.
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.
Zheng, C., He, G., & Gao, C.. (2017). The Information Product Methods: A Unified Approach to Dual-Purpose Computerized Adaptive Testing. Applied Psychological MeasurementApplied Psychological Measurement, 42(4), 321 - 324. presented at the 2018/06/01. Retrieved from https://doi.org/10.1177/0146621617730392
Liu, O. Lydia, Bridgeman, B., Gu, L., Xu, J., & Kong, N.. (2015). Investigation of Response Changes in the GRE Revised General Test. Educational and Psychological Measurement, 75, 1002-1020. doi:10.1177/0013164415573988
Tu, D., Han, Y., Cai, Y., & Gao, X.. (2018). Item Selection Methods in Multidimensional Computerized Adaptive Testing With Polytomously Scored Items. Applied Psychological Measurement, 42, 677-694. doi:10.1177/0146621618762748
Glas, C. A. W., & van der Linden, W. J.. (2010). Marginal likelihood inference for a model for item responses and response times. British Journal of Mathematical and Statistical Psychology, 63, 603-26.
PDF icon PRO_multidimmatters_APM.pdf (894.8 KB)
PDF icon ga02812.pdf (131.16 KB)
Choi, S. W., Grady, M. W., & Dodd, B. G.. (2010). A new stopping rule for computerized adaptive testing. Educational and Psychological Measurement, 70, 1-17. presented at the Dec 1.
Choi, S. W., Grady, M. W., & Dodd, B. G.. (2011). A New Stopping Rule for Computerized Adaptive Testing. Educational and Psychological Measurement, 71, 37-53. doi:10.1177/0013164410387338
Gnambs, T., & Batinic, B.. (2011). Polytomous Adaptive Classification Testing: Effects of Item Pool Size, Test Termination Criterion, and Number of Cutscores. Educational and Psychological Measurement, 71, 1006-1022. doi:10.1177/0013164410393956
Glas, C. A. W. (1988). The Rasch model and multi-stage testing. Journal of Educational and Behavioral Statistics, 13, 45-52.
PDF icon ge07-01.pdf (319.09 KB)
Conejo, R., Guzmán, E., Millán, E., Trella, M., Pérez-De-La-Cruz, J. L., & Ríos, A.. (2004). Siette: a web-based tool for adaptive testing. International Journal of Artificial Intelligence in Education, 14, 29-61.
Laufer, B., & Goldstein, Z.. (2004). Testing vocabulary knowledge: Size, strength, and computer adaptiveness. Language Learning, 54, 399-436. presented at the Sep.
Gierl, M. J., & Lai, H.. (2018). Using Automatic Item Generation to Create Solutions and Rationales for Computerized Formative Testing. Applied Psychological Measurement, 42, 42-57. doi:10.1177/0146621617726788
PDF icon gi08361.pdf (106.3 KB)
PDF icon gi08361.pdf (106.3 KB)

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