A Linear Discrepancy Model of Attitude Convergence in Small Groups

• In Event: Communication, Social Networks, and Changes in Attitude Structures: Paths towards Belief Convergence, Divergence, and Equilibrium

Abstract

In this paper the authors apply classic information processing theory to a small group discussion context. The linear discrepancy model (LDM) predicts that through a specified persuasion process group decisions will converge to an equilibrium value. The pivotal parameter that determines the equilibrium value is dependent upon the speaking frequency of the group members. Data from numerous experiments are shown to be consistent with this model.

Authors

• Frank Boster, Michigan State University

• Monique Turner, University of Maryland

• Maria Lapinski, Michigan State University