01650nas a2200289 4500008004100000020004100041245011100082210006900193250001500262260000800277300001100285490000700296520053700303653004800840653006200888653005700950653001101007653002701018653002401045653005101069653004701120653003101167653001301198100001301211700001901224856011701243 2009 eng d a0007-1102 (Print)0007-1102 (Linking)00aThe maximum priority index method for severely constrained item selection in computerized adaptive testing0 amaximum priority index method for severely constrained item sele a2008/06/07 cMay a369-830 v623 aThis paper introduces a new heuristic approach, the maximum priority index (MPI) method, for severely constrained item selection in computerized adaptive testing. Our simulation study shows that it is able to accommodate various non-statistical constraints simultaneously, such as content balancing, exposure control, answer key balancing, and so on. Compared with the weighted deviation modelling method, it leads to fewer constraint violations and better exposure control while maintaining the same level of measurement precision.10aAptitude Tests/*statistics & numerical data10aDiagnosis, Computer-Assisted/*statistics & numerical data10aEducational Measurement/*statistics & numerical data10aHumans10aMathematical Computing10aModels, Statistical10aPersonality Tests/*statistics & numerical data10aPsychometrics/*statistics & numerical data10aReproducibility of Results10aSoftware1 aCheng, Y1 aChang, Hua-Hua uhttp://iacat.org/content/maximum-priority-index-method-severely-constrained-item-selection-computerized-adaptive01943nas a2200277 4500008004100000020004100041245007300082210006900155250001500224260000800239300001000247490000700257520099700264653001601261653002901277653004801306653006201354653001101416653002401427653004601451653003101497653001301528100001401541700001501555856009501570 2008 eng d a0007-1102 (Print)0007-1102 (Linking)00aPredicting item exposure parameters in computerized adaptive testing0 aPredicting item exposure parameters in computerized adaptive tes a2008/05/17 cMay a75-910 v613 aThe purpose of this study is to find a formula that describes the relationship between item exposure parameters and item parameters in computerized adaptive tests by using genetic programming (GP) - a biologically inspired artificial intelligence technique. Based on the formula, item exposure parameters for new parallel item pools can be predicted without conducting additional iterative simulations. Results show that an interesting formula between item exposure parameters and item parameters in a pool can be found by using GP. The item exposure parameters predicted based on the found formula were close to those observed from the Sympson and Hetter (1985) procedure and performed well in controlling item exposure rates. Similar results were observed for the Stocking and Lewis (1998) multinomial model for item selection and the Sympson and Hetter procedure with content balancing. The proposed GP approach has provided a knowledge-based solution for finding item exposure parameters.10a*Algorithms10a*Artificial Intelligence10aAptitude Tests/*statistics & numerical data10aDiagnosis, Computer-Assisted/*statistics & numerical data10aHumans10aModels, Statistical10aPsychometrics/statistics & numerical data10aReproducibility of Results10aSoftware1 aChen, S-Y1 aDoong, S H uhttp://iacat.org/content/predicting-item-exposure-parameters-computerized-adaptive-testing02170nas a2200301 4500008004100000020001400041245010200055210006900157250001500226300001200241490000700253520109000260653001501350653001501365653002101380653004801401653002401449653002801473653006201501653005701563653001101620653002701631653004601658100001701704700001201721700001401733856012101747 2008 eng d a1138-741600aRotating item banks versus restriction of maximum exposure rates in computerized adaptive testing0 aRotating item banks versus restriction of maximum exposure rates a2008/11/08 a618-6250 v113 a
If examinees were to know, beforehand, part of the content of a computerized adaptive test, their estimated trait levels would then have a marked positive bias. One of the strategies to avoid this consists of dividing a large item bank into several sub-banks and rotating the sub-bank employed (Ariel, Veldkamp & van der Linden, 2004). This strategy permits substantial improvements in exposure control at little cost to measurement accuracy, However, we do not know whether this option provides better results than using the master bank with greater restriction in the maximum exposure rates (Sympson & Hetter, 1985). In order to investigate this issue, we worked with several simulated banks of 2100 items, comparing them, for RMSE and overlap rate, with the same banks divided in two, three... up to seven sub-banks. By means of extensive manipulation of the maximum exposure rate in each bank, we found that the option of rotating banks slightly outperformed the option of restricting maximum exposure rate of the master bank by means of the Sympson-Hetter method.
10a*Character10a*Databases10a*Software Design10aAptitude Tests/*statistics & numerical data10aBias (Epidemiology)10aComputing Methodologies10aDiagnosis, Computer-Assisted/*statistics & numerical data10aEducational Measurement/*statistics & numerical data10aHumans10aMathematical Computing10aPsychometrics/statistics & numerical data1 aBarrada, J R1 aOlea, J1 aAbad, F J uhttp://iacat.org/content/rotating-item-banks-versus-restriction-maximum-exposure-rates-computerized-adaptive-testing02304nas a2200301 4500008004100000020002200041245011900063210006900182250001500251260000800266300001000274490000700284520125000291653001501541653001001556653006201566653001101628653001101639653000901650653003801659653005601697653004601753653002101799653003101820100001601851700002001867856011501887 2007 eng d a1040-3590 (Print)00aComputerized adaptive personality testing: A review and illustration with the MMPI-2 Computerized Adaptive Version0 aComputerized adaptive personality testing A review and illustrat a2007/03/21 cMar a14-240 v193 aComputerized adaptive testing in personality assessment can improve efficiency by significantly reducing the number of items administered to answer an assessment question. Two approaches have been explored for adaptive testing in computerized personality assessment: item response theory and the countdown method. In this article, the authors review the literature on each and report the results of an investigation designed to explore the utility, in terms of item and time savings, and validity, in terms of correlations with external criterion measures, of an expanded countdown method-based research version of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2), the MMPI-2 Computerized Adaptive Version (MMPI-2-CA). Participants were 433 undergraduate college students (170 men and 263 women). Results indicated considerable item savings and corresponding time savings for the adaptive testing modalities compared with a conventional computerized MMPI-2 administration. Furthermore, computerized adaptive administration yielded comparable results to computerized conventional administration of the MMPI-2 in terms of both test scores and their validity. Future directions for computerized adaptive personality testing are discussed.10aAdolescent10aAdult10aDiagnosis, Computer-Assisted/*statistics & numerical data10aFemale10aHumans10aMale10aMMPI/*statistics & numerical data10aPersonality Assessment/*statistics & numerical data10aPsychometrics/statistics & numerical data10aReference Values10aReproducibility of Results1 aForbey, J D1 aBen-Porath, Y S uhttp://iacat.org/content/computerized-adaptive-personality-testing-review-and-illustration-mmpi-2-computerized01473nas a2200241 4500008004100000020002200041245007800063210006900141250001500210260001100225300001200236490000700248520069100255653002300946653002500969653002100994653006201015653001101077653001601088100001701104700001401121856009601135 2007 eng d a0277-6715 (Print)00aComputerized adaptive testing for measuring development of young children0 aComputerized adaptive testing for measuring development of young a2006/11/30 cJun 15 a2629-380 v263 aDevelopmental indicators that are used for routine measurement in The Netherlands are usually chosen to optimally identify delayed children. Measurements on the majority of children without problems are therefore quite imprecise. This study explores the use of computerized adaptive testing (CAT) to monitor the development of young children. CAT is expected to improve the measurement precision of the instrument. We do two simulation studies - one with real data and one with simulated data - to evaluate the usefulness of CAT. It is shown that CAT selects developmental indicators that maximally match the individual child, so that all children can be measured to the same precision.10a*Child Development10a*Models, Statistical10aChild, Preschool10aDiagnosis, Computer-Assisted/*statistics & numerical data10aHumans10aNetherlands1 aJacobusse, G1 aBuuren, S uhttp://iacat.org/content/computerized-adaptive-testing-measuring-development-young-children