Psychometrics: Preference Models with Latent Variables

Ulf Bockenholt*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Current psychometric models of choice behavior are strongly influenced by Thurstone's (1927) experimental and statistical work on measuring and scaling preferences. Aided by advances in computational techniques, preference models can now accommodate a wide range of data types and sources of preference variability among respondents induced by diverse factors such as person-specific choice sets or different functional forms for the underlying utility representations. At the same time, these models are increasingly challenged by behavioral work demonstrating the prevalence of choice behavior that is not consistent with the underlying assumptions of these models.

Original languageEnglish (US)
Title of host publicationInternational Encyclopedia of the Social & Behavioral Sciences: Second Edition
PublisherElsevier Inc.
Pages440-444
Number of pages5
ISBN (Electronic)9780080970875
ISBN (Print)9780080970868
DOIs
StatePublished - Mar 26 2015

Keywords

  • Consistency conditions
  • Context effect
  • Identifiability
  • Intransitivity
  • Paired comparison
  • Random utility models
  • Ranking
  • Revealed preferences
  • Social dependencies
  • Stated preferences
  • Time dependencies

ASJC Scopus subject areas

  • Social Sciences(all)

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    Bockenholt, U. (2015). Psychometrics: Preference Models with Latent Variables. In International Encyclopedia of the Social & Behavioral Sciences: Second Edition (pp. 440-444). Elsevier Inc.. https://doi.org/10.1016/B978-0-08-097086-8.43082-5