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HUnter, D. R. (1982). Comparison of live and simulated adaptive tests (No. AFHRL-TP-82-35). Air Force Human Resources Laborarory. presented at the December 1982, Brooks Air Force Base, Texas: Air Force Systems Command.
Huitzing, H. A. (2004). Using Set Covering with Item Sampling to Analyze the Infeasibility of Linear Programming Test Assembly Models. Applied Psychological Measurement, 28, 355-375. doi:10.1177/0146621604266152
Huh, S. (2008). Preparing the implementation of computerized adaptive testing for high-stakes examinations. Journal of Educational Evaluation for Health Professions.
Huff, K. L., & Sireci, S. G.. (2001). Validity issues in computer-based testing. Educational Measurement: Issues and Practice, 20(3), 16-25.
Huebner, A. (2012). Item Overexposure in Computerized Classification Tests Using Sequential Item Selection. Practical Assessment, Research & Evaluation, 17(12).
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Huebner, A. R., & Finkelman, M. D.. (2016). On Computing the Key Probability in the Stochastically Curtailed Sequential Probability Ratio Test. Applied Psychological Measurement, 40, 142-156. doi:10.1177/0146621615611633
Huebner, A., & Li, Z.. (2012). A Stochastic Method for Balancing Item Exposure Rates in Computerized Classification Tests. Applied Psychological Measurement, 36, 181-188. doi:10.1177/0146621612439932
Huebner, A., & Li, Z.. (2012). A Stochastic Method for Balancing Item Exposure Rates in Computerized Classification Tests. Applied Psychological Measurement, 36, 181-188. doi:10.1177/0146621612439932
Huebner, A., Wang, B., & Lee, S.. (2009). Practical issues concerning the application of the DINA model to CAT data. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
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Huebner, A., Wang, C., Daly, B., & Pinkelman, C.. (2018). A Continuous a-Stratification Index for Item Exposure Control in Computerized Adaptive Testing. Applied Psychological Measurement, 42, 523-537. doi:10.1177/0146621618758289
Hubbard, J. P. (1966). Programmed testing in the examinations of the National Board of Medical Examiners. In . A. Anastasi (Ed.), Testing problems in perspective. Washington DC: American Council on Education.
Huang, S. X. (1996). A content-balanced adaptive testing algorithm for computer-based training systems. In . Frasson, C. and Gauthier, G. and Lesgold, A. (Eds.), Intelligent Tutoring Systems, Third International Conference, ITS'96, Montr�al, Canada, June 1996 Proceedings. Lecture Notes in Computer Science 1086. Berlin Heidelberg: Springer-Verlag 306-314.
Huang, H. - Y., Chen, P. - H., & Wang, W. - C.. (2012). Computerized Adaptive Testing Using a Class of High-Order Item Response Theory Models. Applied Psychological Measurement, 36, 689-706. doi:10.1177/0146621612459552
Hsu, C. - L., Wang, W. - C., & Chen, S. - Y.. (2013). Variable-Length Computerized Adaptive Testing Based on Cognitive Diagnosis Models. Applied Psychological Measurement, 37, 563-582. doi:10.1177/0146621613488642
Hsu, C. - L., Wang, W. - C., & Chen, S. Y.. (2017). Using Bayesian Decision Theory in Cognitive Diagnosis Computerized Adaptive Testing. In IACAT 2017 Conference. presented at the 08/2017, Niigata Japan: Niigata Seiryo University.
Hsu, C. - L., & Wang, W. - C.. (2015). Variable-Length Computerized Adaptive Testing Using the Higher Order DINA Model. Journal of Educational Measurement, 52, 125–143. doi:10.1111/jedm.12069
Hsu, Y., Thompson, T. D., & Chen, W. - H.. (1998). CAT item calibration. In Paper presented at the annual meeting of the National Council on Measurement in Education. San Diego.
Hsu, C. - L., & Wang, W. - C.. (2019). Multidimensional Computerized Adaptive Testing Using Non-Compensatory Item Response Theory Models. Applied Psychological Measurement, 43, 464-480. doi:10.1177/0146621618800280
Hsu, T. - C., & Shermis, M. D.. (1988). The development and evaluation of a microcomputerized adaptive placement testing system for college mathematics. In Paper(s) presented at the annual meeting(s) of the American Educational Research Association. 1986 (San Francisco CA) and 1987 (Washington DC).
Hsu, T., & Pingel, K.. (1974). A Bayesian approach in sequential testing. In American Educational Research Association. presented at the 04/1974, Chicago IL.
Hou, L., Chen, S., G., D. B., & Fitzpatrick, S. J.. (1996). The effects of methods of theta estimation, prior distribution, and number of quadrature points on CAT using the graded response model. In Paper presented at the annual meeting of the American Educational Research Association. New York NY.
Hornke, L. F. (1979). Four realizations of pyramidal adaptive testing. Programmed Larning and Educational Technology, 16, 164-169.
Hornke, L. F. (1977). Four realizations of pyramidal adaptive testing strategies. In Paper presented at the Third International Symposium on Educational Testing. University of Leiden, The Netherlands.
Hornke, L. F., & Sauter, M. B.. (1980). A validity study of an adaptive test of reading comprehension. In . D. J. Weiss (Ed.), Proceedings of the 1979 Computerized Adaptive Testing Conference (pp. 57-67). Minneapolis MN: University of Minnesota, Department of Psychology, Psychometric Methods Program.
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Hornke, L. F. (1999). Benefits from computerized adaptive testing as seen in simulation studies. European Journal of Psychological Assessment, 15, 91-98.
Hornke, L. F. (1995). Item times in computerized testing: A new differential information. European Journal of Psychological Assessment, 11 (Suppl. 1), 108-109.
Hontangas, P., Olea, J., Ponsoda, V., Revuelta, J., & Wise, S. L.. (2004). Assisted self-adapted testing: A comparative study. European Journal of Psychological Assessment, 20, 2-9.
Hontangas, P., Ponsoda, V., Olea, J., & Wise, S. L.. (2000). The choice of item difficulty in self adapted testing. European Journal of Psychological Assessment, 16(1), 3-12.
Hong Jiao,, Macready, G., Liu, J., & Cho, Y.. (2012). A Mixture Rasch Model–Based Computerized Adaptive Test for Latent Class Identification. Applied Psychological Measurement, 36, 469-493. doi:10.1177/0146621612450068
Holtzman, W. H. (1970). Individually tailored testing: Discussion. In . W. H. Holtzman, (Ed.), Computer-assisted instruction, testing, and guidance (pp.198-200). New York: Harper and Row.
Holst, P. M., O’Donnell, A. M., & Rocklin, T. R.. (1992). Effects of feedback during self-adapted testing on estimates of ability. In Paper presented at the annual meeting of the American Educational Research Association. San Francisco.
Holmes, R. M., & Segall, D. O.. (1999). Reducing item exposure without reducing precision (much) in computerized adaptive testing. In Paper presented at the annual meeting of the National Council on Measurement in Education. Montreal, CA.
Holland, P. W., & Zwick, R.. (1991). A simulation study of some simple approaches to the study of DIF for CATs. Internal memorandum, Educational Testing Service.
Hol, A. M., Vorst, H. C. M., & Mellenbergh, G. J.. (2008). Computerized Adaptive Testing of Personality Traits. Zeitschrift für Psychologie / Journal of Psychology, 216(1), 12-21. doi:10.1027/0044-3409.216.1.12
PDF icon Computerized Adaptive Testing of Personality Traits.pdf (518.72 KB)
Hol, A. M. (2006). A CAT with personality and attitude. Enschede, The Netherlands: PrintPartners Ipskamp B.
Hogan, P. F., McBride, J. R., & Curran, L. T.. (1995). An evaluation of alternative concepts for administering the Armed Services Vocational Aptitude Battery to applicants for enlistment. DMDC Technical Report 95-013. Monterey, CA: Personnel Testing Division, Defense Manpower Data Center.
Hogan, P. F., Dall, T., & McBride, J. R.. (1996). Preliminary cost-effectiveness analysis of alternative ASVAB testing concepts at MET sites. Interim report to Defense Manpower Data Center. Fairfax, VA: Lewin-VHI, Inc.
Ho, T. - H., & Dodd, B. G.. (2012). Item Selection and Ability Estimation Procedures for a Mixed-Format Adaptive Test. Applied Measurement in Education, 25, 305-326. doi:10.1080/08957347.2012.714686
Ho, R., & Hsu, T. C.. (1989). A comparison of three adaptive testing strategies using MicroCAT. In Paper presented at the annual meeting of the American Educational Research Association. San Francisco.
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