On Computing the Key Probability in the Stochastically Curtailed Sequential Probability Ratio Test.

ABSTRACT: The Stochastically Curtailed Sequential Probability Ratio Test (SCSPRT) is a termination criterion for computerized classification tests (CCTs) that has been shown to be more efficient than the well-known Sequential Probability Ratio Test (SPRT). The performance of the SCSPRT depends on computing the probability that at a given stage in the test, an examinee's current interim classification status will not change before the end of the test. Previous work discusses two methods of computing this probability, an exact method in which all potential responses to remaining items are considered and an approximation based on the central limit theorem (CLT) requiring less computation. Generally, the CLT method should be used early in the test when the number of remaining items is large, and the exa

SUBMITTER: Huebner AR 

PROVIDER: S-EPMC5982174 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature