TitleFeatures of the sampling distribution of the ability estimate in computerized adaptive testing according to two stopping rules
Publication TypeJournal Article
Year of Publication2010
AuthorsBlais, JG, Raiche, G
JournalJournal of Applied Measurement
Volume11
Edition2010/12/18
Number4
Pagination424-31
Publication Languageeng
ISBN Number1529-7713 (Print)1529-7713 (Linking)
Accession Number21164229
Abstract

Whether paper and pencil or computerized adaptive, tests are usually described by a set of rules managing how they are administered: which item will be first, which should follow any given item, when to administer the last one. This article focus on the latter and looks at the effect of two stopping rules on the estimated sampling distribution of the ability estimate in a CAT: the number of items administered and the a priori determined size of the standard error of the ability estimate.