01452nas a2200133   4500008004100000245006700041210006700108300000900175490000700184520098800191653003401179100001901213856008601232       1998                        eng d00aApplications of network flows to computerized adaptive testing0 aApplications of network flows to computerized adaptive testing  a08550 v593 aRecently, the concept of Computerized Adaptive Testing (CAT) has been receiving ever growing attention from the academic community. This is so because of both practical and theoretical considerations. Its practical importance lies in the advantages of CAT over the traditional (perhaps outdated) paper-and-pencil test in terms of time, accuracy, and money. The theoretical interest is sparked by its natural relationship to Item Response Theory (IRT). This dissertation offers a mathematical programming approach which creates a model that generates a CAT that takes care of many questions concerning the test, such as feasibility, accuracy and time of testing, as well as item pool security. The CAT generated is designed to obtain the most information about a single test taker. Several methods for eatimating the examinee's ability, based on the (dichotomous) responses to the items in the test, are also offered here. (PsycINFO Database Record (c) 2003 APA, all rights reserved).10acomputerized adaptive testing1 aClaudio, M J C  uhttp://iacat.org/content/applications-network-flows-computerized-adaptive-testing