01445nas a2200157   4500008003900000245010600039210006900145300001200214490000700226520090200233100002301135700002501158700002601183700001501209856006301224       2019                          d00aEfficiency of Targeted Multistage Calibration Designs Under Practical Constraints: A Simulation Study0 aEfficiency of Targeted Multistage Calibration Designs Under Prac  a121-1460 v563 aAbstract Calibration of an item bank for computer adaptive testing requires substantial resources. In this study, we investigated whether the efficiency of calibration under the Rasch model could be enhanced by improving the match between item difficulty and student ability. We introduced targeted multistage calibration designs, a design type that considers ability-related background variables and performance for assigning students to suitable items. Furthermore, we investigated whether uncertainty about item difficulty could impair the assembling of efficient designs. The results indicated that targeted multistage calibration designs were more efficient than ordinary targeted designs under optimal conditions. Limited knowledge about item difficulty reduced the efficiency of one of the two investigated targeted multistage calibration designs, whereas targeted designs were more robust.1 aBerger, Stéphanie1 aVerschoor, Angela, J1 aEggen, Theo, J. H. M.1 aMoser, Urs  uhttps://onlinelibrary.wiley.com/doi/abs/10.1111/jedm.1220300446nas a2200109   4500008004100000245007500041210006900116300001200185100002500197700002400222856009000246       2010                        eng d00aMATHCAT: A Flexible Testing System in Mathematics Education for Adults0 aMATHCAT A Flexible Testing System in Mathematics Education for A  a137-1501 aVerschoor, Angela, J1 aStraetmans, G J J M  uhttp://iacat.org/content/mathcat-flexible-testing-system-mathematics-education-adults00555nas a2200121   4500008004100000245011100041210006900152260003400221100001800255700002500273700001600298856011900314       2007                        eng d00aA multiple objective test assembly approach for exposure control problems in computerized adaptive testing0 amultiple objective test assembly approach for exposure control p  aArnhem, The NetherlandsbCito1 aVeldkamp, B P1 aVerschoor, Angela, J1 aEggen, Theo  uhttp://iacat.org/content/multiple-objective-test-assembly-approach-exposure-control-problems-computerized-adaptive01352nas a2200133   4500008003900000245008200039210006900121300001200190490000700202520091500209100001601124700002501140856005301165       2006                          d00aOptimal Testing With Easy or Difficult Items in Computerized Adaptive Testing0 aOptimal Testing With Easy or Difficult Items in Computerized Ada  a379-3930 v303 a<p>Computerized adaptive tests (CATs) are individualized tests that, from a measurement point of view, are optimal for each individual, possibly under some practical conditions. In the present study, it is shown that maximum information item selection in CATs using an item bank that is calibrated with the one or the two-parameter logistic model results in each individual answering about 50% of the items correctly. Two item selection procedures giving easier (or more difficult) tests for students are presented and evaluated. Item selection on probability points of items yields good results only with the one-parameter logistic model and not with the two-parameter logistic model. An alternative selection procedure, based on maximum information at a shifted ability level, gives satisfactory results with both models. Index terms: computerized adaptive testing, item selection, item response theory</p>
1 aEggen, Theo1 aVerschoor, Angela, J  uhttp://apm.sagepub.com/content/30/5/379.abstract01617nas a2200217   4500008004100000020002200041245008200063210006900145260002600214300001200240490000700252520088700259653002801146653002501174653002501199653001901224653001601243100001601259700002501275856009901300       2006                        eng d  a0146-6216 (Print)00aOptimal testing with easy or difficult items in computerized adaptive testing0 aOptimal testing with easy or difficult items in computerized ada  bSage Publications: US  a379-3930 v303 aComputerized adaptive tests (CATs) are individualized tests that, from a measurement point of view, are optimal for each individual, possibly under some practical conditions. In the present study, it is shown that maximum information item selection in CATs using an item bank that is calibrated with the one- or the two-parameter logistic model results in each individual answering about 50% of the items correctly. Two item selection procedures giving easier (or more difficult) tests for students are presented and evaluated. Item selection on probability points of items yields good results only with the one-parameter logistic model and not with the two-parameter logistic model. An alternative selection procedure, based on maximum information at a shifted ability level, gives satisfactory results with both models. (PsycINFO Database Record (c) 2007 APA, all rights reserved)10acomputer adaptive tests10aindividualized tests10aItem Response Theory10aitem selection10aMeasurement1 aEggen, Theo1 aVerschoor, Angela, J  uhttp://iacat.org/content/optimal-testing-easy-or-difficult-items-computerized-adaptive-testing