Unfolding item response model using best-worst scaling

Kazuya Ikehara

Research output: Contribution to journalArticle

Abstract

In attitude measurement and sensory tests, the unfolding model is typically used. In this model, response probability is formulated by the distance between the person and the stimulus. In this study, we proposed an unfolding item response model using best-worst scaling (BWU model), in which a person chooses the best and worst stimulus among repeatedly presented subsets of stimuli. We also formulated an unfolding model using best scaling (BU model), and compared the accuracy of estimates between the BU and BWU models. A simulation experiment showed that the BWU model performed much better than the BU model in terms of bias and root mean square errors of estimates. With reference to Usami (2011), the proposed models were applied to actual data to measure attitudes toward tardiness. Results indicated high similarity between stimuli estimates generated with the proposed models and those of Usami (2011).

Original languageEnglish
Pages (from-to)560-570
Number of pages11
JournalShinrigaku Kenkyu
Volume85
Issue number6
DOIs
Publication statusPublished - 2015 Feb 1

Keywords

  • Attitude measurement
  • Best-worst scaling
  • Hamiltonian Monte Carlo method
  • Unfolding model

ASJC Scopus subject areas

  • Psychology(all)
  • Medicine(all)

Cite this

Unfolding item response model using best-worst scaling. / Ikehara, Kazuya.

In: Shinrigaku Kenkyu, Vol. 85, No. 6, 01.02.2015, p. 560-570.

Research output: Contribution to journalArticle

Ikehara, Kazuya. / Unfolding item response model using best-worst scaling. In: Shinrigaku Kenkyu. 2015 ; Vol. 85, No. 6. pp. 560-570.
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