Han, K. T. (2010). SimulCAT: Windows application that simulates computerized adaptive test administration. Retrieved from http://www.hantest.net/simulcat

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.

Huang, C. - Y., Kalohn, J. C., Lin, C. - J., & Spray, J. A.. (2000). Estimating Item Parameters from Classical Indices for Item Pool Development with a Computerized Classification Test. (No. Research Report 2000-4). Iowa City, Iowa: ACT, Inc.

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.

Hsu, T. C., & Tseng, F. L.. (1995). Using simulation to select an adaptive testing strategy: An item bank evaluation program. Unpublished manuscript, University of Pittsburgh.

Han, N. (2003). Using moving averages to assess test and item security in computer-based testing (Center for Educational Assessment Research Report No 468). Amherst, MA: University of Massachusetts, School of Education.

Spray, J. A., Abdel-Fattah, A. A., Huang, C. - Y., & Lau, C. A.. (1997). Unidimensional approximations for a computerized adaptive test when the item pool and latent space are multidimensional (Research Report 97-5). Iowa City IA: ACT Inc.

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.

Rijn, P. W. van,, Eggen, T., Hemker, B. T., & Sanders, P. F.. (2000). A selection procedure for polytomous items in computerized adaptive testing (Measurement and Research Department Reports 2000-5). Arnhem, The Netherlands: Cito.

Hambleton, R. K. (1973). A review of testing and decision-making procedures (Technical Bulletin No. 15. Iowa City IA: American College Testing Program.

Huh, S. (2008). Preparing the implementation of computerized adaptive testing for high-stakes examinations. Journal of Educational Evaluation for Health Professions.

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.

Hardwicke, S., & White, K. E.. (1983). Predictive utility evaluation of adaptive testing: Results of the Navy research. Falls Church VA: The Rehab Group Inc.

Holman, R., Glas, C. A., Lindeboom, R., Zwinderman, A. H., & de Haan, R. J.. (2004). Practical methods for dealing with 'not applicable' item responses in the AMC Linear Disability Score project. Health and Quality of Life Outcomes. presented at the Jun 16.

Holman, R., Glas, C. A., Lindeboom, R., Zwinderman, A. H., & de Haan, R. J.. (2004). Practical methods for dealing with 'not applicable' item responses in the AMC Linear Disability Score project. Health and Quality of Life Outcomes. presented at the Jun 16.

Harmes, J. C., Kromrey, J. D., & Parshall, C. G.. (2001). Online item parameter recalibration: Application of missing data treatments to overcome the effects of sparse data conditions in a computerized adaptive version of the MCAT. Unpublished manuscript.

Huisman, J. M. E. (1999). Item nonresponse: Occurrence, causes and imputation of missing answers to test items. (M and T Series No 32). Leiden: DSWO Press.

Hetter, R. D., Bloxom, B. M., & Segall, D. O.. (1993). Item Calibration: Medium-of-administration effect on computerized adaptive scores (TR-93-9). Navy Personnel Research and Development Center.

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.

Xing, D., & Hambleton, R. K.. (2001). Impact of several computer-based testing variables on the psychometric properties of credentialing examinations (Laboratory of Psychometric and Evaluative Research Report No 393). Amherst, MA: University of Massachusetts, School of Education.

Hansen, D. N., Ross, S., & Harris, D. A.. (1977). Flexilevel adaptive training paradigm: Hierarchical concept structures. AFHRL Technical Report 77-35 (II).

Hansen, D. N., Ross, S., & Harris, D. A.. (1977). Flexilevel adaptive training paradigm: Hierarchical concept structures. AFHRL Technical Report 77-35 (II).

Hansen, D. N., Ross, S., & Harris, D. A.. (1977). Flexilevel adaptive testing paradigm: Validation in technical training. AFHRL Technical Report 77-35 (I).

Hansen, D. N., Ross, S., & Harris, D. A.. (1977). Flexilevel adaptive testing paradigm: Validation in technical training. AFHRL Technical Report 77-35 (I).

Green, B. F., Bock, R. D., Humphreys, L. G., Linn, R. L., & Reckase, M. D.. (1984). Evaluation plan for the computerized adaptive vocational aptitude battery (Research Report 82-1).

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.

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.

Huang, C. - Y., Kalohn, J. C., Lin, C. - J., & Spray, J.. (2000). Estimating item parameters from classical indices for item pool development with a computerized classification test (Research Report 2000-4). Iowa City IA: ACT Inc.

Mazzeo, J., & Harvey, A. L.. (1988). The equivalence of scores from automated and conventional educational and psychological tests (College Board Report No. 88-8). New York: The College Entrance Examination Board.

Bridgeman, B., Cline, F., & Hessinger, J.. (2003). Effect of extra time on GRE® Quantitative and Verbal Scores (Research Report 03-13). Princeton NJ: Educational Testing service.

Giesinger, J. M., Petersen, M. A., Groenvold, M., Aaronson, N. K., Arraras, J. I., Conroy, T., et al.. (2011). Cross-cultural development of an item list for computer-adaptive testing of fatigue in oncological patients. Health and Quality of Life Outcomes. presented at the March 29, 2011.

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.

Hambleton, R. K., & Xing, D.. (2004). Computer-based test designs with optimal and non-optimal tests for making pass-fail decisions. Research Report, University of Massachusetts, Amherst, MA.

Hansen, D. N., Johnson, B. F., Fagan, R. L., Tan, P., & Dick, W.. (1974). Computer-based adaptive testing models for the Air Force technical training environment: Phase I: Development of a computerized measurement system for Air Force technical Training. JSAS Catalogue of Selected Documents in Psychology, 5, 1-86 (MS No. 882). AFHRL Technical Report 74-48.

Hol, A. M. (2006). A CAT with personality and attitude. Enschede, The Netherlands: PrintPartners Ipskamp B.

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.

Holman, R., Lindeboom, R., Vermeulen, M., & de Haan, R. J.. (2004). The AMC Linear Disability Score project in a population requiring residential care: psychometric properties. Health and Quality of Life Outcomes. presented at the Aug 3.

Holman, R., Lindeboom, R., Vermeulen, M., & de Haan, R. J.. (2004). The AMC Linear Disability Score project in a population requiring residential care: psychometric properties. Health and Quality of Life Outcomes. presented at the Aug 3.

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, 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

Huff, K. L., & Sireci, S. G.. (2001). Validity issues in computer-based testing. Educational Measurement: Issues and Practice, 20(3), 16-25.

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

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

Gershon, R. C., Rothrock, N., Hanrahan, R., Bass, M., & Cella, D.. (2010). The use of PROMIS and assessment center to deliver patient-reported outcome measures in clinical research. Journal of Applied Measurement, 11, 304-314.

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.

Kahler, C. W., Strong, D. R., Read, J. P., De Boeck, P., Wilson, M., Acton, G. S., et al.. (2005). Toward efficient and comprehensive measurement of the alcohol problems continuum in college students: The Brief Young Adult Alcohol Consequences Questionnaire. Alcoholism: Clinical & Experimental Research, 29, 1180-1189.

Kahler, C. W., Strong, D. R., Read, J. P., De Boeck, P., Wilson, M., Acton, G. S., et al.. (2005). Toward efficient and comprehensive measurement of the alcohol problems continuum in college students: The Brief Young Adult Alcohol Consequences Questionnaire. Alcoholism: Clinical & Experimental Research, 29, 1180-1189.

Hol, A. M., Vorst, H. C. M., & Mellenbergh, G. J.. (2001). Toepassing van een computergestuurde adaptieve testprocedure op persoonlijkheidsdata [Application of a computerised adaptive test procedure on personality data]. Nederlands Tijdschrift voor de Psychologie en haar Grensgebieden, 56, 119-133.

Hemker, B. T., Sijtsma, K., & Molenaar, I. W.. (1995). Theoretical results and item selection from multidimensional item bank in the Mokken IRT model for polytomous items. Applied Psychological Measurement, 19, 337–352.

Hambleton, R. K. (1974). Testing and decision-making procedures for selected individualized instruction programs. Review of Educational Research, 10, 371-400.

Henson, R. K., & Douglas, J.. (2005). Test construction for cognitive diagnosis. Applied Psychological Measurement, 29, 262-277.

Green, B. F., Bock, R. D., Humphreys, L. G., Linn, R. L., & Reckase, M. D.. (1984). Technical guidelines for assessing computerized adaptive tests. Journal of Educational Measurement, 21, 347-360.

Heift, T., & Schulze, M.. (2003). Student modeling and ab initio language learning. System, 31, 519-535.

Kalinowski, K. E., Natesan, P., & Henson, R. K.. (2014). Stratified Item Selection and Exposure Control in Unidimensional Adaptive Testing in the Presence of Two-Dimensional Data. Applied Psychological Measurement, 38, 563-576. doi:10.1177/0146621614536768

Shiba, S., Noguchi, H., & Haebra, T.. (1978). A stratified adaptive test of verbal ability. Japanese Journal of Educational Psychology, 26, 229-238.

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

Lu, Y., & Hambleton, R. K.. (2004). Statistics for detecting disclosed items in a CAT environment. Metodologia de Las Ciencias del Comportamiento., 5(2).

Swaminathan, H., Hambleton, R. K., Sireci, S. G., Xing, D., & Rizavi, S. M.. (2003). Small sample estimation in dichotomous item response models: Effect of priors based on judgmental information on the accuracy of item parameter estimates. Applied Psychological Measurement, 27, 27-51.