Loglinear representation for multivariate choice data

Ulf Böckenholt*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


This paper focuses on multivariate logistic representations of paired and multiple comparisons models. Bock's (1975) logistic model is chosen as a common framework for extending the Bradley-Terry-Luce model, Luce's model of first choices, the Babington-Smith and the Pendergrass-Bradley ranking models to accommodate multiple responses. Relationships between the responses are constrained to vary as an additive function of the objects being compared. The methodology is exemplified by analyzing bivariate choice data from a questionnaire study.

Original languageEnglish (US)
Pages (from-to)235-250
Number of pages16
JournalMathematical social sciences
Issue number2
StatePublished - Jan 1 1992


  • Logistic model
  • maximum likelihood estimation
  • multiple comparisons.

ASJC Scopus subject areas

  • Sociology and Political Science
  • General Social Sciences
  • General Psychology
  • Statistics, Probability and Uncertainty


Dive into the research topics of 'Loglinear representation for multivariate choice data'. Together they form a unique fingerprint.

Cite this