Item selection methods in variable-length cognitive diagnostic computerized adaptive testing

Xiaomin LI, Wen Chung WANG

Research output: Contribution to conference › Papers

Abstract

Within the context of variable-length cognitive diagnostic computerized adaptive testing (CDCAT), we proposed a restrictive progressive item selection method and a restrictive proportional item selection method for item selection and exposure control. Their performance was evaluated with simulations and the results confirmed their effectiveness and feasibility
Original languageEnglish
Publication statusPublished - Apr 2014

Citation

Li, X., & Wang, W. C. (2014, April). Item selection methods in variable-length cognitive diagnostic computerized adaptive testing. Paper presented at the annual meeting of National Council on Measurement in Education, Philadelphia, USA.