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computerized adaptive testing
Tonidandel, S. (2002). Computer adaptive testing: The impact of test characteristics on perceived performance and test takers' reactions. Dissertation Abstracts International: Section B: the Sciences & Engineering, 62, 3410.
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
Reckase, M. D. (1989). Adaptive testing: The evolution of a good idea. Educational Measurement: Issues and Practice, 8, 11-15.
Bergstrom, B. A., & Lunz, M. E.. (1994). The equivalence of Rasch item calibrations and ability estimates across modes of administration. In Objective measurement: Theory into practice (Vol. 2, pp. 122-128). Norwood, N.J. USA: Ablex Publishing Co.
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)
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.
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
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.
Sands, W. A., Waters, B. K., & McBride, J. R.. (1997). Computerized adaptive testing: From inquiry to operation. Washington, D.C., USA: American Psychological Association.
Buyske, S. G. (1999). Optimal design for item calibration in computerized adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 59, 4220.
Thompson, N. A., & Ro, S.. (2007). Computerized classification testing with composite hypotheses. GMAC Conference on Computerized Adaptive Testing. St. Paul, MN: Graduate Management Admissions Council.
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.
Meijer, R. R., & Nering, M. L.. (1999). Computerized Adaptive Testing: Overview and Introduction. Applied Psychological Measurement, 23, 187-94.
Magis, D., & Raîche, G.. (2011). catR: An R Package for Computerized Adaptive Testing. Applied Psychological Measurement. doi:10.1177/0146621611407482
Berg, S. R. (1996). Dynamic scaling: An ipsative procedure using techniques from computer adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 56, 5824.
PDF icon ICAT- An Adaptive Testing Procedure for the Identification of Idiosyncratic Knowledge Patterns.pdf (322.62 KB)
Chang, S. - H. (1991). Inter-subtest branching in computerized adaptive testing. Dissertation Abstracts International, 52, 140-141.
van der Linden, W. J. (2006). Equating scores from adaptive to linear tests. Applied Psychological Measurement, 30, 493-508.
Veerkamp, W. J. J. (2000). Taylor approximations to logistic IRT models and their use in adaptive testing. Journal of Educational and Behavioral Statistics, 25, 307-343.
Finkelman, M., & Wang, C.. (2019). Time-Efficient Adaptive Measurement of Change. Journal of Computerized Adaptive Testing, 7(2), 15-34. doi:10.7333/1909-0702015
Roper, B. L. (1993). Comparability and validity of computerized adaptive testing with the MMPI-2. Dissertation Abstracts International, 53, 3791.
Thompson, N. A. (2007). A practitioner's guide to variable-length computerized classification testing. Practical Assessment, Research and Evaluation. presented at the 7/1/2009.
Claudio, M. J. C. (1998). Applications of network flows to computerized adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 59, 0855.
Meijer, R. R. (2002). Outlier detection in high-stakes certification testing. Journal of Educational Measurement, 39, 219-233.
van der Linden, W. J., & Reese, L. M.. (1998). A model for optimal constrained adaptive testing. Applied Psychological Measurement, 22, 259-270.
Drasgow, F., & Olson-Buchanan, J. B.. (1999). Innovations in computerized assessment. Mahwah, N.J.: Lawrence Erlbaum Associates, Inc.
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)
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.
Kingsbury, G. G., & Houser, R. L.. (1993). Assessing the utility of item response models: computerized adaptive testing. Educational Measurement: Issues and Practice, 12, 21-27.
Spray, J. A., & Reckase, M. D.. (1987). The effect of item parameter estimation error on decisions made using the sequential probability ratio test (No. Research Report 87-1). ACT Research Report Series. Iowa City, IA. USA: DTIC Document.
Chang, H. - H., & Ying, Z.. (1999). a-stratified multistage computerized adaptive testing. Applied Psychological Measurement, 23, 211-222.

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