01908nas a2200217   4500008004100000020002200041245007000063210006900133260004100202300001200243490000700255520117100262653003201433653003301465653001801498653002401516100001301540700001801553700002301571856009601594       2004                        eng d  a0022-0655 (Print)00aConstructing rotating item pools for constrained adaptive testing0 aConstructing rotating item pools for constrained adaptive testin  bBlackwell Publishing: United Kingdom  a345-3590 v413 aPreventing items in adaptive testing from being over- or underexposed is one of the main problems in computerized adaptive testing. Though the problem of overexposed items can be solved using a probabilistic item-exposure control method, such methods are unable to deal with the problem of underexposed items. Using a system of rotating item pools, on the other hand, is a method that potentially solves both problems. In this method, a master pool is divided into (possibly overlapping) smaller item pools, which are required to have similar distributions of content and statistical attributes. These pools are rotated among the testing sites to realize desirable exposure rates for the items. A test assembly model, motivated by Gulliksen's matched random subtests method, was explored to help solve the problem of dividing a master pool into a set of smaller pools. Different methods to solve the model are proposed. An item pool from the Law School Admission Test was used to evaluate the performances of computerized adaptive tests from systems of rotating item pools constructed using these methods. (PsycINFO Database Record (c) 2007 APA, all rights reserved)10acomputerized adaptive tests10aconstrained adaptive testing10aitem exposure10arotating item pools1 aAriel, A1 aVeldkamp, B P1 avan der Linden, WJ  uhttp://mail.iacat.org/content/constructing-rotating-item-pools-constrained-adaptive-testing01517nas a2200229   4500008004100000245008700041210006900128300001200197490000700209520075300216653002100969653001300990653003001003653003401033653001101067653001501078653001501093653001801108100002301126700002701149856011101176       2003                        eng d00aUsing response times to detect aberrant responses in computerized adaptive testing0 aUsing response times to detect aberrant responses in computerize  a251-2650 v683 aA lognormal model for response times is used to check response times for aberrances in examinee behavior on computerized adaptive tests. Both classical procedures and Bayesian posterior predictive checks are presented. For a fixed examinee, responses and response times are independent; checks based on response times offer thus information independent of the results of checks on response patterns. Empirical examples of the use of classical and Bayesian checks for detecting two different types of aberrances in response times are presented. The detection rates for the Bayesian checks outperformed those for the classical checks, but at the cost of higher false-alarm rates. A guideline for the choice between the two types of checks is offered.10aAdaptive Testing10aBehavior10aComputer Assisted Testing10acomputerized adaptive testing10aModels10aperson Fit10aPrediction10aReaction Time1 avan der Linden, WJ1 aKrimpen-Stoop, E M L A  uhttp://mail.iacat.org/content/using-response-times-detect-aberrant-responses-computerized-adaptive-testing