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PDF icon ICAT- An Adaptive Testing Procedure for the Identification of Idiosyncratic Knowledge Patterns.pdf (322.62 KB)
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.
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
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)
Segall, D. O. (2002). An item response model for characterizing test compromise. Journal of Educational and Behavioral Statistics, 27, 163-179.
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)
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Barrada, J. R., Olea, J., & Ponsoda, V.. (2007). Methods for restricting maximum exposure rate in computerized adaptative testing. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 3, 14-23.
PDF icon ba07014.pdf (398.44 KB)
van der Linden, W. J., & Reese, L. M.. (1998). A model for optimal constrained adaptive testing. Applied Psychological Measurement, 22, 259-270.
Kim, H. - O. (1994). Monte Carlo simulation comparison of two-stage testing and computerized adaptive testing. Dissertation Abstracts International Section A: Humanities & Social Sciences, 54, 2548.
Tseng, F. - L. (2001). Multidimensional adaptive testing using the weighted likelihood estimation. Dissertation Abstracts International Section A: Humanities & Social Sciences, 61, 4746.
van der Linden, W. J. (1999). Multidimensional adaptive testing with a minimum error-variance criterion. Journal of Educational and Behavioral Statistics, 24, 398-412.
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DeMars, C. E. (2022). The (non)Impact of Misfitting Items in Computerized Adaptive Testing. Journal of Computerized Adaptive Testing, 9(2). doi:10.7333/2211-0902008
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Buyske, S. G. (1999). Optimal design for item calibration in computerized adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 59, 4220.
Meijer, R. R. (2002). Outlier detection in high-stakes certification testing. Journal of Educational Measurement, 39, 219-233.
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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.
van der Linden, W. J. (2008). Some new developments in adaptive testing technology. Zeitschrift für Psychologie, 216, 3-11.
PDF icon Some New Developments in Adaptive Testing.pdf (544.66 KB)
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Nandakumar, R., & Roussos, L. A.. (1997). Validation of CATSIB To investigate DIF of CAT data. In annual meeting of the American Educational Research Association. Chicago, IL. USA.

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