Sequential Information Integration and Belief Trajectories: An Experimental Study Using Candidate Evaluations

Sungeun Chung, Edward L. Fink, Leah Waks, Michael F. Meffert, Xiaoying Xie

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Using an extended model of information integration theory, the sequential information integration model (SIIM), the effects of initially presented information on belief trajectories were investigated. SIIM predicts (a) damped oscillatory trajectories when congruent information and incongruent information are presented alternately; and (b) smaller amplitudes of trajectories when initial beliefs have greater weight. An experiment was conducted that utilized a hypothetical election (N=201). Participants initially received specific (vs. no) information about candidates' positions on issues and then indicated their evaluation of the candidates 11 times in response to additional pieces of information that were provided over time. As predicted, belief trajectories were found to have damped oscillatory patterns. The amplitude of the trajectories was smaller for participants with strong party identification than for those with weak party identification. Implications of these findings for theories of persuasion and political decision-making are discussed.

Original languageEnglish
Pages (from-to)160-180
Number of pages21
JournalCommunication Monographs
Volume79
Issue number2
DOIs
StatePublished - Jun 2012

Keywords

  • Belief Trajectories;
  • Candidate Evaluation
  • Information Integration
  • Sequential Information Integration Model;

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