Item response theory models for multidimensional ranking items

Wen Chung WANG, Xuelan QIU, Chia Wen Wayne CHEN, Sage RO

Research output: Contribution to conferencePapers

Abstract

Multidimensional ranking items, in which different statements aim at different latent traits, are commonly used to measure noncognitive latent traits (e.g., career interests, attitudes, and personality). In this study, we developed two new item response theory models for multidimensional ranking items that yield statement utilities and person measures. Simulations were conducted to evaluate the parameter recovery of the two new models, and the results indicated that the parameters were recovered well by using the freeware Just Another Gibson Sampler (JAGS). Anempirical example of behaviors in workplaces was provided.
Original languageEnglish
Publication statusPublished - Jul 2015

Citation

Wang, W.-C., Qiu, X., Chen, C.-W., & Ro, S. (2015, July). Item response theory models for multidimensional ranking items. Paper presented at The 80th Annual Meeting of the Psychometric Society, Beijing Normal University, Beijing, China.

Keywords

  • Item response theory
  • Ranking items
  • Pairwise comparison
  • Rasch measurement
  • Ipsative tests

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