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Journal Article
Walter, O. B., & Holling, H.. (2008). Transitioning from fixed-length questionnaires to computer-adaptive versions. Zeitschrift für Psychologie \ Journal of Psychology, 216(1), 22–28.
PDF icon Transitioning from Fixed-Length Questionnaires to Computer-Adaptive Versions.pdf (214.47 KB)
H., Q., Staniewska, D., Reckase, M., & Woo, A.. (2016). Using Response Time to Detect Item Preknowledge in Computer?Based Licensure Examinations. Educational Measurement: Issues and Practice., 35(1). doi:http://dx.doi.org/10.1111/emip.12102
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
Huff, K. L., & Sireci, S. G.. (2001). Validity issues in computer-based testing. Educational Measurement: Issues and Practice, 20(3), 16-25.
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.. (2015). Variable-Length Computerized Adaptive Testing Using the Higher Order DINA Model. Journal of Educational Measurement, 52, 125–143. doi:10.1111/jedm.12069
Miscellaneous
Ferguson, R. L., & Hsu, T.. (1971). The application of item generators for individualizing mathematics testing and instruction (Report 1971/14). Pittsburgh PA: University of Pittsburgh Learning Research and Development Center.
Hol, A. M. (2006). A CAT with personality and attitude. Enschede, The Netherlands: PrintPartners Ipskamp B.
Borman, W. C., Hanson, M. A., Kubisiak, U. C., & Buck, D. E.. (2000). Computerized adaptive rating scales (CARS): Development and evaluation of the concept. (Institute Rep No. 350). Tampa FL: Personnel Decisions Research Institute.
PDF icon br03-01.pdf (87.76 KB)
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.
Hardwicke, S., Vicino, F., McBride, J. R., & Nemeth, C.. (1984). Evaluation of computerized adaptive testing of the ASVAB. San Diego, CA: Navy Personnel Research and Development Center, unpublished manuscript.
Hansen, D. N., & Schwarz, G.. (1968). An investigation of computer-based science testing. Tallahassee FL: Florida State University.
Hansen, D. N., & Schwarz, G.. (1968). An investigation of computer-based science testing. Tallahassee: Institute of Human Learning, Florida State University.
PDF icon ha01-01.pdf (405.35 KB)
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.
Huh, S. (2008). Preparing the implementation of computerized adaptive testing for high-stakes examinations. Journal of Educational Evaluation for Health Professions.
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.
Report
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.
Han, K. T. (2009). Gradual maximum information ratio approach to item selection in computerized adaptive testing (No. RR-09-07). GMAC Research Reports. McLean, VA. USA: Graduate Management Admissions Council.

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