A Comparison of Item Selection Rules at the Early Stages of Computerized Adaptive Testing
Applied Psychological Measurement Volume 24, Number 3, ISSN 0146-6216
Compared five item selection rules with respect to the efficiency and precision of trait (theta) estimation at the early stages of computerized adaptive testing (CAT). The Fisher interval information, Fisher information with a posterior distribution, Kullback-Leibler information, and Kullback-Leibler information with a posterior distribution performed marginally better than the Fisher information approach at early CAT stages. (SLD)
Chen, S.Y., Ankenmann, R.D. & Chang, H.H. (2000). A Comparison of Item Selection Rules at the Early Stages of Computerized Adaptive Testing. Applied Psychological Measurement, 24(3), 241.