Effects of attribute balancing on test efficiency in CD-CAT

Chia Ling Connie HSU, Wen Chung WANG, Shu Ying CHEN

Research output: Contribution to conference › Papers

Abstract

Using simulations, this study investigated how attribute balancing affects test efficiency in fixedlength and fixed-precision computerized adaptive testing with cognitive diagnosis models. It was found that attribute balancing had different effects on test efficiency for different item selection methods and termination criteria.
Original languageEnglish
Publication statusPublished - Apr 2015

Citation

Hsu, C.-L., Wang, W.-C., & Chen, S.-Y. (2015, April). Effects of attribute balancing on test efficiency in CD-CAT. Paper presented at The NCME 2015: 77th Annual Meeting of National Council on Measurement in Education, InterContinental Hotel, Chicago, Illinois.

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