TY - JOUR
T1 - Computerized Adaptive Testing Using a Class of High-Order Item Response Theory Models
AU - Huang, Hung Yu
AU - Chen, Po Hsi
AU - Wang, Wen Chung
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The third author was supported by Public Policy Research Funding, Hong Kong (Grant HKIEd 8012-PPR-10) and the first author was supported by the National Science Council (Grant No. NSC 98-2410-H-364-014).
PY - 2012/11
Y1 - 2012/11
N2 - In the human sciences, a common assumption is that latent traits have a hierarchical structure. Higher order item response theory models have been developed to account for this hierarchy. In this study, computerized adaptive testing (CAT) algorithms based on these kinds of models were implemented, and their performance under a variety of situations was examined using simulations. The results showed that the CAT algorithms were very effective. The progressive method for item selection, the Sympson and Hetter method with online and freeze procedure for item exposure control, and the multinomial model for content balancing can simultaneously maintain good measurement precision, item exposure control, content balance, test security, and pool usage.
AB - In the human sciences, a common assumption is that latent traits have a hierarchical structure. Higher order item response theory models have been developed to account for this hierarchy. In this study, computerized adaptive testing (CAT) algorithms based on these kinds of models were implemented, and their performance under a variety of situations was examined using simulations. The results showed that the CAT algorithms were very effective. The progressive method for item selection, the Sympson and Hetter method with online and freeze procedure for item exposure control, and the multinomial model for content balancing can simultaneously maintain good measurement precision, item exposure control, content balance, test security, and pool usage.
KW - computerized adaptive testing
KW - higher order
KW - item exposure control
KW - item response theory
KW - test security
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U2 - 10.1177/0146621612459552
DO - 10.1177/0146621612459552
M3 - Article
AN - SCOPUS:84867342499
SN - 0146-6216
VL - 36
SP - 689
EP - 706
JO - Applied Psychological Measurement
JF - Applied Psychological Measurement
IS - 8
ER -