Visualizing individual differences in pairwise comparison data

Ulf Böckenholt*

*Corresponding author for this work

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Methods of comparative judgments such as paired comparisons and rankings share one common problem: They do not allow recovering the origin of the stimulus evaluations. One stimulus may be judged more positively than another but this result does not allow any conclusions about whether either of the stimuli are attractive or unattractive. This article discusses the implications of this limitation for the interpretation of individual differences in multiple comparative judgment data. It is shown that because of the comparative nature of the judgments, distances instead of covariances between stimuli should be interpreted and a graphical method is presented that facilitates understanding the underlying similarity relationships among the stimuli. One consumer-test application illustrates the benefits of the proposed graphical approach for understanding individual differences in preference judgments even when the scale origin cannot be identified.

Original languageEnglish (US)
Pages (from-to)179-187
Number of pages9
JournalFood Quality and Preference
Volume17
Issue number3-4
DOIs
StatePublished - Apr 1 2006

Keywords

  • Choice data
  • Individual differences
  • Multi-level regression models
  • Paired comparisons

ASJC Scopus subject areas

  • Food Science
  • Nutrition and Dietetics

Fingerprint Dive into the research topics of 'Visualizing individual differences in pairwise comparison data'. Together they form a unique fingerprint.

  • Cite this