Hierarchical modeling of paired comparison data

Ulf Böckenholt*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

The method of paired comparisons belongs to a small group of techniques that provide explicit information about the consistency of individual and aggregated choices. This article investigates the link between the individual- and group-level judgments by extending R. D. Luce's (1959) model, which was originally developed for individual choice behavior, to a mixed-effects paired comparison model. It is shown that standard multilevel software for binary data can be used to estimate the model. The interpretation of the paired comparison parameters and statistical model tests are discussed in detail. An extensive analysis of an experimental study illustrates the usefulness of a hierarchical approach in modeling multiple pairwise judgments.

Original languageEnglish (US)
Pages (from-to)49-64
Number of pages16
JournalPsychological methods
Volume6
Issue number1
DOIs
StatePublished - Mar 1 2001

ASJC Scopus subject areas

  • Psychology (miscellaneous)

Fingerprint Dive into the research topics of 'Hierarchical modeling of paired comparison data'. Together they form a unique fingerprint.

Cite this