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Test Design Optimization in CAT Early Stage with the Nominal Response Model
ARTICLE

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Applied Psychological Measurement Volume 31, Number 3, ISSN 0146-6216

Abstract

The early stage of computerized adaptive testing (CAT) refers to the phase of the trait estimation during the administration of only a few items. This phase can be characterized by bias and instability of estimation. In this study, an item selection criterion is introduced in an attempt to lessen this instability: the D-optimality criterion. A polytomous unconstrained CAT simulation is carried out to evaluate this criterion's performance under different test premises. The simulation shows that the extent of early stage instability depends primarily on the quality of the item pool information and its size and secondarily on the item selection criteria. The efficiency of the D-optimality criterion is similar to the efficiency of other known item selection criteria. Yet, it often yields estimates that, at the beginning of CAT, display a more robust performance against instability. (Contains 7 figures and 1 table.)

Citation

Passos, V.L., Berger, M.P.F. & Tan, F.E. (2007). Test Design Optimization in CAT Early Stage with the Nominal Response Model. Applied Psychological Measurement, 31(3), 213-232. Retrieved May 27, 2020 from .

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