TitleA comparison of item selection rules at the early stages of computerized adaptive testing
Publication TypeJournal Article
Year of Publication2000
AuthorsChen, S-Y, Ankenmann, RD, Chang, H-H
JournalApplied Psychological Measurement
Volume24
Number3
Pagination241-255
Publication Languageeng
KeywordsAdaptive Testing, Computer Assisted Testing, Item Analysis (Test), Statistical Estimation computerized adaptive testing
Abstract

The effects of 5 item selection rules--Fisher information (FI), Fisher interval information (FII), Fisher information with a posterior distribution (FIP), Kullback-Leibler information (KL), and Kullback-Leibler information with a posterior distribution (KLP)--were compared with respect to the efficiency and precision of trait (θ) estimation at the early stages of computerized adaptive testing (CAT). FII, FIP, KL, and KLP performed marginally better than FI at the early stages of CAT for θ=-3 and -2. For tests longer than 10 items, there appeared to be no precision advantage for any of the selection rules. (PsycINFO Database Record (c) 2005 APA ) (journal abstract)