A class of unfolding models for pairwise-comparison and ranking data

Chen Wei LIU, Wen Chung WANG

Research output: Contribution to conference › Papers

Abstract

Pairwise comparison and ranking data are commonly used. Unfolding IRT models may be more appropriate for attitude items than dominance ones. We thus developed a class of IRT unfolding models for pairwise comparison and ranking data. The simulation results showed the parameters could be recovered fairly well.
Original languageEnglish
Publication statusPublished - Apr 2014
Event2014 Annual Meeting of National Council on Measurement in Education - Philadelphia, United States
Duration: 04 Apr 2014 → 06 Apr 2014

Conference

Conference2014 Annual Meeting of National Council on Measurement in Education
Abbreviated titleNCME 2014
Country/TerritoryUnited States
CityPhiladelphia
Period04/04/14 → 06/04/14

Citation

Liu, C.-W., & Wang, W.-C. (2014, April). A class of unfolding models for pairwise-comparison and ranking data. Paper presented at the annual meeting of National Council on Measurement in Education, Philadelphia, PA.