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

Xiaomin LI; Wen Chung WANG

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

Xiaomin LI, Wen Chung WANG

Department of Psychology (PS)

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 language	English
Publication status	Published - Apr 2014
Event	2014 Annual Meeting of National Council on Measurement in Education - Philadelphia, United States Duration: 04 Apr 2014 → 06 Apr 2014

Conference

Conference	2014 Annual Meeting of National Council on Measurement in Education
Abbreviated title	NCME 2014
Country/Territory	United States
City	Philadelphia
Period	04/04/14 → 06/04/14

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.