01609nas a2200205   4500008004500000022001400045245005000059210004900109300001000158490000600168520099300174653003501167653003401202653002301236653001901259653002701278100002301305700001501328856006001343       2019                        Engldsh    a2165-659200aTime-Efficient Adaptive Measurement of Change0 aTimeEfficient Adaptive Measurement of Change  a15-340 v73 a<p>The adaptive measurement of change (AMC) refers to the use of computerized adaptive testing (CAT) at multiple occasions to efficiently assess a respondent&rsquo;s improvement, decline, or sameness from occasion to occasion. Whereas previous AMC research focused on administering the most informative item to a respondent at each stage of testing, the current research proposes the use of Fisher information per time unit as an item selection procedure for AMC. The latter procedure incorporates not only the amount of information provided by a given item but also the expected amount of time required to complete it. In a simulation study, the use of Fisher information per time unit item selection resulted in a lower false positive rate in the majority of conditions studied, and a higher true positive rate in all conditions studied, compared to item selection via Fisher information without accounting for the expected time taken. Future directions of research are suggested.</p>
10aadaptive measurement of change10acomputerized adaptive testing10aFisher information10aitem selection10aresponse-time modeling1 aFinkelman, Matthew1 aWang, Chun  uhttp://iacat.org/jcat/index.php/jcat/article/view/73/35