Item Selection in Adaptive Testing with the Sequential Probability Ratio Test

Theo J. H. M. Eggen

110 citations0/0 files storedApplied Psychological Measurement

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Psychometric Methodologies and Testing Educational Assessment and Pedagogy Educational Technology and Assessment

Abstract

Wald’s (1947) sequential probability ratio test can be implemented as an adaptive test for classifying examinees into categories. However, current implementations use an item selection method that is either random or based on Fisher information (FI), a criterion related to optimized examinee trait estimates. In this study, a method based on Kullback-Leibler information (KLI) was evaluated. Simulation studies were conducted for two- and three-category classifications in which item selection methods based on FI and KLI were compared. Results showed that testing algorithms using KLI-based item selection performed better than or as well as those using FI-based item selection.

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References

1996A Global Information Approach to Computerized Adaptive Testing 1983New horizons in testing : latent trait test theory and computerized adaptive testing 1991Annual Meeting of the National Council on Measurement in Education 1998Bayesian Item Selection Criteria for Adaptive Testing 1990Using Bayesian Decision Theory to Design a Computerized Mastery Test 1983A Procedure for Decision Making Using Tailored Testing 1997Some New Item Selection Criteria for Adaptive Testing 1996Comparison of SPRT and Sequential Bayes Procedures for Classifying Examinees Into Two Categories Using a Computerized Test

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