%0 Journal Article %J BMC Medical Informatics and Decision Making %D 2011 %T A new adaptive testing algorithm for shortening health literacy assessments %A Kandula, S. %A Ancker, J.S. %A Kaufman, D.R. %A Currie, L.M. %A Qing, Z.-T. %X

 

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3178473/?tool=pmcentrez
%B BMC Medical Informatics and Decision Making %V 11 %G English %N 52 %R 10.1186/1472-6947-11-52 %0 Journal Article %J Applied Psychological Measurement %D 2008 %T Severity of Organized Item Theft in Computerized Adaptive Testing: A Simulation Study %A Qing Yi, %A Jinming Zhang, %A Chang, Hua-Hua %X

Criteria had been proposed for assessing the severity of possible test security violations for computerized tests with high-stakes outcomes. However, these criteria resulted from theoretical derivations that assumed uniformly randomized item selection. This study investigated potential damage caused by organized item theft in computerized adaptive testing (CAT) for two realistic item selection methods, maximum item information and a-stratified with content blocking, using the randomized method as a baseline for comparison. Damage caused by organized item theft was evaluated by the number of compromised items each examinee could encounter and the impact of the compromised items on examinees' ability estimates. Severity of test security violation was assessed under self-organized and organized item theft simulation scenarios. Results indicated that though item theft could cause severe damage to CAT with either item selection method, the maximum item information method was more vulnerable to the organized item theft simulation than was the a-stratified method.

%B Applied Psychological Measurement %V 32 %P 543-558 %U http://apm.sagepub.com/content/32/7/543.abstract %R 10.1177/0146621607311336 %0 Journal Article %J Applied Psychological Measurement %D 2007 %T Two-Phase Item Selection Procedure for Flexible Content Balancing in CAT %A Ying Cheng, %A Chang, Hua-Hua %A Qing Yi, %X

Content balancing is an important issue in the design and implementation of computerized adaptive testing (CAT). Content-balancing techniques that have been applied in fixed content balancing, where the number of items from each content area is fixed, include constrained CAT (CCAT), the modified multinomial model (MMM), modified constrained CAT (MCCAT), and others. In this article, four methods are proposed to address the flexible content-balancing issue with the a-stratification design, named STR_C. The four methods are MMM+, an extension of MMM; MCCAT+, an extension of MCCAT; the TPM method, a two-phase content-balancing method using MMM in both phases; and the TPF method, a two-phase content-balancing method using MMM in the first phase and MCCAT in the second. Simulation results show that all of the methods work well in content balancing, and TPF performs the best in item exposure control and item pool utilization while maintaining measurement precision.

%B Applied Psychological Measurement %V 31 %P 467-482 %U http://apm.sagepub.com/content/31/6/467.abstract %R 10.1177/0146621606292933 %0 Journal Article %J Journal of Applied Psychology %D 2002 %T Computer-adaptive testing: The impact of test characteristics on perceived performance and test takers’ reactions %A Tonidandel, S. %A Quiñones, M. A. %A Adams, A. A. %B Journal of Applied Psychology %V 87 %P 320-332 %0 Journal Article %J Applied Psychological Measurement %D 2001 %T a-stratified multistage computerized adaptive testing with b blocking %A Chang, Hua-Hua %A Qian, J. %A Yang, Z. %K computerized adaptive testing %X Proposed a refinement, based on the stratification of items developed by D. Weiss (1973), of the computerized adaptive testing item selection procedure of H. Chang and Z. Ying (1999). Simulation studies using an item bank from the Graduate Record Examination show the benefits of the new procedure. (SLD) %B Applied Psychological Measurement %V 25 %P 333-41 %G eng %M EJ644200 %0 Journal Article %J Applied Psychological Measurement %D 2001 %T a-Stratified multistage computerized adaptive testing with b blocking %A Chang, Hua-Hua %A Qian, J. %A Ying, Z. %X Chang & Ying’s (1999) computerized adaptive testing item-selection procedure stratifies the item bank according to a parameter values and requires b parameter values to be evenly distributed across all strata. Thus, a and b parameter values must be incorporated into how strata are formed. A refinement is proposed, based on Weiss’ (1973) stratification of items according to b values. Simulation studies using a retired item bank of a Graduate Record Examination test indicate that the new approach improved control of item exposure rates and reduced mean squared errors. %B Applied Psychological Measurement %V 25 %P 333-341 %@ 0146-6216 %G eng %0 Journal Article %J International Journal of Selection and Assessment %D 2000 %T Psychological reactions to adaptive testing %A Tonidandel, S., %A Quiñones, M. A. %B International Journal of Selection and Assessment %V 8 %P 7-15 %0 Generic %D 1998 %T Three response types for broadening the conception of mathematical problem solving in computerized-adaptive tests (Research Report 98-45) %A Bennett, R. E. %A Morley, M. %A Quardt, D. %C Princeton NJ : Educational Testing Service %G eng %0 Generic %D 1984 %T Microcomputer network for computerized adaptive testing (CAT) (TR-84-33) %A Quan, B. %A Park, T. A. %A Sandahl, G. %A Wolfe, J. H. %C San Diego CA: Navy Personnel Research and Development Center %G eng %0 Government Document %D 0 %T Microcomputer network for computer­ized adaptive testing (CAT) %A Quan, B. %A Park, T.A. %A Sandahl, G. %A Wolfe, J.H. %B NPRDC-TR-84-33 %I San Diego: Navy Personnel Research and Development Center. %G eng %U https://apps.dtic.mil/dtic/tr/fulltext/u2/a140256.pdf %M DTIC No. AD-A140 256