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Applied Psychological Measurement, Vol. 28, No. 5, 295-316 (2004)
DOI: 10.1177/0146621604265938

Implementation and Measurement Efficiency of Multidimensional Computerized Adaptive Testing

Wen-Chung Wang

National Chung Cheng University, Taiwanpsywcw{at}ccu.edu.tw

Po-Hsi Chen

National Yunlin University of Science and Technology, Taiwan

Multidimensional adaptive testing (MAT) procedures are proposed for the measurement of several latent traits by a single examination. Bayesian latent trait estimation and adaptive item selection are derived. Simulations were conducted to compare the measurement efficiency of MAT with those of unidimensional adaptive testing and random administration. The results showed that the higher the correlation between latent traits, the more latent traits there were, and the more scoring levels there were in the items, the more efficient MAT was than the other two procedures. For tests containing multidimensional items, only MAT is applicable, whereas unidimensional adaptive testing is not. Issues in implementing MAT are discussed.


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