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Discrete choice experiments: a primer for the communication researcher

  • Reed M. Reynolds
  • , Lucy Popova
  • , Bo Yang
  • , Jordan Louviere
  • , James F. Thrasher

Research output: Contribution to journal › Article › peer-review

Abstract

Experiments are widely used in communication research to help establish cause and effect, however, studies published in communication journals rarely use discrete choice experiments (DCEs). DCEs have become a mainstay in fields such as behavioral economics, medicine, and public policy, and can be used to enhance research on the effects of message attributes across a wide range of domains and modalities. DCEs are powerful for disentangling the influence of many message attributes with modest sample sizes and participant burden. The benefits of DCEs result from multiple design elements including stimulus sets that elicit direct comparisons, blocked and/or fractional factorial structures, and a wide range of analytic options. Though sophisticated, the tools necessary to implement a DCE are freely available, and this article provides resources to communication scholars and practitioners seeking to add DCEs to their own methodological repertoire.

Original languageEnglish (US)
Article number1385422
JournalFrontiers in Communication
Volume10
DOIs
StatePublished - 2025

Keywords

  • balanced incomplete block designs
  • conjoint analysis (CA)
  • discrete choice experiments
  • fractional factorial designs
  • message evaluation tasks

ASJC Scopus subject areas

  • Communication
  • Social Sciences (miscellaneous)

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