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Understanding the relationship between communication and political knowledge: A model comparison approach using panel data

  • William P. Eveland
  • , Andrew F. Hayes
  • , Dhavan V. Shah
  • , Nojin Kwak
  • Ohio State University
  • University of Wisconsin-Madison

Research output: Contribution to journalReview articlepeer-review

206 Scopus citations

Abstract

The purpose of this study was to examine more closely the assumptions of causality in research on communication and political knowledge. Although most communication theory suggests that communication causes learning, some have argued for the reverse causal direction or reciprocal causality. Others have confounded these concepts - in conjunction with political interest - in measures of political "sophistication or "expertise. We collected panel data (N = 1,109) on a national sample in June and November 2000. We employed a model comparison approach to identify the best fitting model among alternatives that included models of unidirectional and reciprocal causality in both lagged and synchronous models, controlling for prior political interest and various demographic factors. The data are most consistent with a model of causality that is unidirectional running from Time 2 measures of news use and political discussion to Time 2 political knowledge.

Original languageEnglish
Pages (from-to)423-446
Number of pages24
JournalPolitical Communication
Volume22
Issue number4
DOIs
StatePublished - Oct 2005

Keywords

  • Deliberation
  • Discussion
  • Expertise
  • Learning
  • News media
  • Sophistication

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