01203nas a2200145 4500008003900000245005800039210005600097300001000153490000700163520077300170100001900943700002200962700002100984856005201005 2011 d00aA New Stopping Rule for Computerized Adaptive Testing0 aNew Stopping Rule for Computerized Adaptive Testing a37-530 v713 a
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.
1 aChoi, Seung, W1 aGrady, Matthew, W1 aDodd, Barbara, G uhttp://epm.sagepub.com/content/71/1/37.abstract