Export 2016 results:
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
computerized adaptive testing
Buyske, S. G. (1999). Optimal design for item calibration in computerized adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 59, 4220.
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.
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.
Chang, S. - H. (1991). Inter-subtest branching in computerized adaptive testing. Dissertation Abstracts International, 52, 140-141.
PDF icon ICAT- An Adaptive Testing Procedure for the Identification of Idiosyncratic Knowledge Patterns.pdf (322.62 KB)
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.
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.
Meijer, R. R. (2002). Outlier detection in high-stakes certification testing. Journal of Educational Measurement, 39, 219-233.
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.
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.
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.
van der Linden, W. J. (1999). Multidimensional adaptive testing with a minimum error-variance criterion. Journal of Educational and Behavioral Statistics, 24, 398-412.
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.
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.
Latu, E., & Chapman, E.. (2002). Computerised adaptive testing. British Journal of Educational Technology, 33, 619-22.
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.
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)
Patsula, L. N. (2000). A comparison of computerized adaptive testing and multistage testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 60, 5829.

Pages