Anger, fear, uncertainty, and attitudes: a test of the cognitive-functional model

Abstract The cognitive-functional model of discrete negative emotions and attitude change (CFM; Nabi, 1999) attempts to bridge the theoretical gap between "emotional" and "rational" approaches to persuasion by focusing on how emotions motivate attention to and processing of persuasive messages. As a first test of the CFM, this study explored the effects of 2 emotions, anger and fear, and 2 levels of expectation of message reassurance, certainty and uncertainty, on attitudes toward domestic terrorism legislation. Results supported a main effect for emotion type, suggesting that anger promotes deeper information processing than fear, and a main effect for reassurance certainty level, with uncertainty promoting deeper information processing. The expected interaction between emotion type and reassurance expectation level was not found. Implications of these findings for the model and persuasion research generally are discussed.