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

Xiaomin LI, Wen Chung WANG

Research output: Contribution to conferencePapers

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
Event2014 Annual Meeting of National Council on Measurement in Education - Philadelphia, United States
Duration: 04 Apr 201406 Apr 2014

Conference

Conference2014 Annual Meeting of National Council on Measurement in Education
Abbreviated titleNCME 2014
Country/TerritoryUnited States
CityPhiladelphia
Period04/04/1406/04/14

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.