You are here:

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

, ,

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


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.)


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 .

This record was imported from ERIC on April 18, 2013. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.