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computerized adaptive testing
Latu, E., & Chapman, E.. (2002). Computerised adaptive testing. British Journal of Educational Technology, 33, 619-22.
Linacre, J. M. (2000). Computer-adaptive testing: A methodology whose time has come. In U. Kang, Jean, E., & Linacre, J. M., Development of Computerised Middle School Achievement Tests (Vol. 69). Chicago, IL. USA: MESA.
McBride, J. R. (1997). Research antecedents of applied adaptive testing. In B. K. Waters & McBride, J. R., Computerized adaptive testing: From inquiry to practice (xviii., pp. 47-57). Washington D.C. USA: American Psychological Association.
McLeod, L. D. (1999). Alternative methods for the detection of item preknowledge in computerized adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 59, 3765.
Meijer, R. R. (2002). Outlier detection in high-stakes certification testing. Journal of Educational Measurement, 39, 219-233.
Meijer, R. R., & Nering, M. L.. (1999). Computerized Adaptive Testing: Overview and Introduction. Applied Psychological Measurement, 23, 187-94.
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.
Patsula, L. N. (2000). A comparison of computerized adaptive testing and multistage testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 60, 5829.
Reckase, M. D. (1989). Adaptive testing: The evolution of a good idea. Educational Measurement: Issues and Practice, 8, 11-15.
Rizavi, S. M. (2002). The effect of test characteristics on aberrant response patterns in computer adaptive testing. Dissertation Abstracts International Section A: Humanities & Social Sciences, 62, 3363.
Roper, B. L. (1993). Comparability and validity of computerized adaptive testing with the MMPI-2. Dissertation Abstracts International, 53, 3791.
Sands, W. A., Waters, B. K., & McBride, J. R.. (1997). Computerized adaptive testing: From inquiry to operation. Washington, D.C., USA: American Psychological Association.
Schoonman, W. (1989). An applied study on computerized adaptive testing. Faculty of Behavioural and Social Sciences. University of Groingen, Groningen, The Netherlands.
Segall, D. O. (2002). An item response model for characterizing test compromise. Journal of Educational and Behavioral Statistics, 27, 163-179.
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.
Tang, K. L. (1996). A comparison of the traditional maximum information method and the global information method in CAT item selection. In annual meeting of the National Council on Measurement in Education. New York, NY USA.
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.
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.
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.
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.
van der Linden, W. J. (2006). Equating scores from adaptive to linear tests. Applied Psychological Measurement, 30, 493-508.
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)
van der Linden, W. J., & Reese, L. M.. (1998). A model for optimal constrained adaptive testing. Applied Psychological Measurement, 22, 259-270.
van der Linden, W. J., & Veldkamp, B. P.. (2004). Constraining item exposure in computerized adaptive testing with shadow tests. Journal of Educational and Behavioral Statistics, 29, 273-291.
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.
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)
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)
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)
Magis, D., & Raîche, G.. (2011). catR: An R Package for Computerized Adaptive Testing. Applied Psychological Measurement. doi:10.1177/0146621611407482
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
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
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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