Item response theory models for multidimensional ranking items

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

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

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. Copyright © 2016 Springer International Publishing Switzerland.
Original languageEnglish
Title of host publicationQuantitative psychology research: The 80th Annual Meeting of the Psychometric Society, Beijing, 2015
EditorsL. Andries VAN DER ARK, Daniel M. BOLT, Wen-Chung WANG, Jeffrey A. DOUGLAS, Marie WIBERG
Place of PublicationSwitzerland
PublisherSpringer
Pages49-65
ISBN (Print)9783319387574, 9783319387598
DOIs
Publication statusPublished - 2016

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Citation

Wang, W.-C., Qiu, X., Chen, C.-W., & Ro, S. (2016). Item response theory models for multidimensional ranking items. In L. Andries van der Ark, D. M. Bolt, W.-C. Wang, J. A. Douglas & M. Wiberg (Eds.), Quantitative psychology research: The 80th Annual Meeting of the Psychometric Society, Beijing, 2015 (pp. 49-65). Switzerland: Springer.

Keywords

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