A logistic representation of multivariate paired-comparison models

U. Bockenholt*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


A class of logistic models for analyzing multivariate paired-comparison experiments with and without ties is proposed. These models facilitate fitting of the Bradley-Terry-Luce model or the Davidson model to more than one response variable, and they model the association structure among the multiple response variables. Additional design-related effects, such as order effects within pairs or group treatment effects, may be tested. Parameters of the models may be expressed as linear functions of concomitant variables. The approach is exemplified by analyzing data from two consumer preference experiments.

Original languageEnglish (US)
Pages (from-to)44-63
Number of pages20
JournalJournal of Mathematical Psychology
Issue number1
StatePublished - Mar 1988

ASJC Scopus subject areas

  • Psychology(all)
  • Applied Mathematics


Dive into the research topics of 'A logistic representation of multivariate paired-comparison models'. Together they form a unique fingerprint.

Cite this