Export 2294 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 
C
Cheng, P. E., & Liou, M.. (2003). Computerized adaptive testing using the nearest-neighbors criterion. Applied Psychological Measurement, 27, 204-216.
Cheng, Y., & Chang, H. - H.. (2007). The modified maximum global discrimination index method for cognitive diagnostic computerized adaptive testing. In .   D. J. Weiss (Ed.).  Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat07cheng.pdf (171.07 KB)
Cheng, P. E., & Liou, M.. (2003). Computerized adaptive testing using the nearest-neighbors criterion. Applied Psychological Measurement, 27, 204-216.
Cheng, P. E., & Liou, M.. (2000). Estimation of trait level in computerized adaptive testing. Applied Psychological Measurement, 24, 257-265.
Chien, Y., Shin, D., & Way, W. D.. (2011). A Heuristic Of CAT Item Selection Procedure For Testlets. In Annual Conference of the International Association for Computerized Adaptive Testing.
PDF icon IACAT 2011 Item Selection Chien Shin Way.pdf (209.21 KB)
Choe, E., Williams, B., & Lee, S. - H.. (2017). Scripted On-the-fly Multistage Testing. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1wKuAstITLXo6BM4APf2mPsth1BymNl-y
Choi, S. W., & Swartz, R. J.. (2009). Comparison of CAT Item Selection Criteria for Polytomous Items. Applied Psychological Measurement, 33, 419-440. doi:10.1177/0146621608327801
Choi, S. W., & Swartz, R. J.. (2009). Comparison of CAT item selection criteria for polytomous items. Applied Psychological Measurement, 33, 419–440.
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
Choi, S. W. (2009). Firestar: Computerized adaptive testing simulation program for polytomous IRT models. Applied Psychological Measurement, 33, 644-645. presented at the Nov 1.
Choi, S. W., Moellering, K. T., Li, J., & van der Linden, W. J.. (2016). Optimal Reassembly of Shadow Tests in CAT. Applied Psychological Measurement, 40, 469-485. doi:10.1177/0146621616654597
Chuah, S. C., Drasgow, F., & Luecht, R.. (2006). How Big Is Big Enough? Sample Size Requirements for CAST Item Parameter Estimation. Applied Measurement in Education, 19, 241-255. doi:10.1207/s15324818ame1903_5
Cizek, G. J. (2004). Protecting the integrity of computer-adaptive licensure tests: Results of a legal challenge. In Paper presented at the annual meeting of the American Educational Research Association. San Diego CA.
PDF icon ci04-01.pdf (190.38 KB)
Clark, C. K. (1976). Proceedings of the first conference on computerized adaptive testing. Washington DC: U.S. Government Printing Office.
PDF icon cl76-01.pdf (7.42 MB)
Claudio, M. J. C. (1998). Applications of network flows to computerized adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 59, 0855.
Cleary, T. A., Linn, R. L., & Rock, D. A.. (1969). An exploratory study of programmed tests. Educational and Psychological Measurement, 28, 345-360.
Cliff, N. A. (1975). A basic test theory generalizable to tailored testing (Technical Report No 1). Los Angeles CA: University of Southern California, Department of Psychology.
Cliff, N. A. (1976). Incomplete orders and computerized testing. In C. K. Clark (Ed.), Proceedings of the First Conference on Computerized Adaptive Testing (pp. 18-23). Washington DC: U.S. Government Printing Office.
PDF icon cl75-01.pdf (372.58 KB)
PDF icon v03n4p495.pdf (1.5 MB)
Cliff, N. A., Cudeck, R., & McCormick, D.. (1978). Implied orders as a basis for tailored testing (Technical Report No. 6). Los Angeles CA: University of Southern California, Department of Psychology.
Cliff, N. A., Cudeck, R., & McCormick, D.. (1977). An empirical evaluation of implied orders as a basis for tailored testing. In . D. J. Weiss (Ed.), Proceedings of the 1977 Computerized Adaptive Testing Conference. Minneapolis MN: University of Minnesota, Department of Psychology, Psychometric Methods Program.
PDF icon cl77048.pdf (779.84 KB)
Cliff, N. A., Cudeck, R., & McCormick, D.. (1978). Evaluations of implied orders as a basis for tailored testing using simulations (Technical Report No. 4). Los Angeles CA: University of Southern California, Department of Psychology.
Collins, J. A. (1996). Adaptive testing with granularity. Masters thesis, University of Saskatchewan, Department of Computer Science.
Collins, J. A., Greer, J. E., & Huang, S. X.. (1996). Adaptive assessment using granularity hierarchies and Bayesian nets. In . Frasson, C. and Gauthier, G. and Lesgold, A. (Eds.) Intelligent Tutoring Systems, Third International Conference, ITS'96, Montréal, Canada, June 1996 Proceedings. Lecture Notes in Computer Science 1086. Berlin Heidelberg: Springer-Verlag 569-577.
PDF icon Colvin FINAL.pdf (630.27 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.
Conrad, K. J., Riley, B. B., & Dennis, M. L.. (2007). The use of computerized adaptive testing to assess psychopathology using the Global Appraisal of Individual Needs. American Evaluation Association. presented at the November, Portland, OR USA: American Evaluation Association .
PDF icon co03-01.pdf (606.41 KB)
Cordova, M. J. (1998). Applications of network flows to computerized adaptive testing. Dissertation, Rutgers Center for Operations Research (RUTCOR), Rutgers University, New Brunswick NJ.
Cordova, M. J. (1997). Optimization methods in computerized adaptive testing. Unpublished doctoral dissertation, Rutgers University, New Brunswick NJ.
Cory, C. H. (1976). Using computerized tests to add new dimensions to the measurement of abilities which are important for on-job performance: An exploratory study. In . C. K. Clark (Ed.), Proceedings of the First Conference on Computerized Adaptive Testing (pp. 64-74). Washington DC: U.S. Government Printing Office.
PDF icon co75-01.pdf (631.79 KB)
Costa, D. R., Karino, C. A., Moura, F. A. S., & Andrade, D. F.. (2009). A comparison of three methods of item selection for computerized adaptive testing. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
PDF icon cat09costa.pdf (530.39 KB)
Cowden, D. J. (1946). An application of sequential sampling to testing students. Journal of the American Statistical Association, 41, 547-556.
Cox, M. A. A. (2014). A Numerical Investigation of the Recovery of Point Patterns With Minimal Information. Applied Psychological Measurement, 38, 329-335. doi:10.1177/0146621613516186
Coyle, J. (2001). Final answer?. American School Board Journal, 188, 24-26.
Crabbe, M., & Vandebroek, M.. (2014). Computerized Adaptive Testing for the Random Weights Linear Logistic Test Model. Applied Psychological Measurement, 38, 415-431. doi:10.1177/0146621614533987
Croll, P. R. (1982). Computerized adaptive testing system design: Preliminary design considerations (Tech. Report 82-52). San Diego CA: Navy Personnel Research and Development Center. (AD A118 495).
Croll, P. R., & Urry, V. W.. (1975). Tailored testing: Maximizing validity and utility for job selection. In Paper presented at the 86th Annual Convention of the American Psychological Association. Toronto. Canada.
Cronbach, L. J. (1966). New light on test strategy from decision theory. In . A. Anastasi (Ed.). Testing problems in perspective. Washington DC: American Council on Education.
Crotts, K. M., Zenisky, A. L., Sireci, S. G., & Li, X.. (2013). Estimating Measurement Precision in Reduced-Length Multi-Stage Adaptive Testing . Journal of Computerized Adaptive Testing, 1(4), 67-87. doi:10.7333/1309-0104067
PDF icon v04n2p157.pdf (650.25 KB)
Cudeck, R. (1985). A structural comparison of conventional and adaptive versions of the ASVAB. Multivariate Behavioral Research, 20, 305-322.

Pages