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ERIC Number: EJ914074
Record Type: Journal
Publication Date: 2011-Feb
Pages: 17
Abstractor: As Provided
Reference Count: 17
ISSN: ISSN-0013-1644
A New Stopping Rule for Computerized Adaptive Testing
Choi, Seung W.; Grady, Matthew W.; Dodd, Barbara G.
Educational and Psychological Measurement, v71 n1 p37-53 Feb 2011
The goal of the current study was to introduce a new stopping rule for computerized adaptive testing (CAT). The predicted standard error reduction (PSER) stopping rule uses the predictive posterior variance to determine the reduction in standard error that would result from the administration of additional items. The performance of the PSER was compared with that of the minimum standard error stopping rule and a modified version of the minimum information stopping rule in a series of simulated adaptive tests, drawn from a number of item pools. Results indicate that the PSER makes efficient use of CAT item pools, administering fewer items when predictive gains in information are small and increasing measurement precision when information is abundant. (Contains 4 figures and 4 tables.)
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A