Information integration and emotion: How do anxiety sensitivity and expectancy combine to determine social anxiety?

Philip J. Moore, Enid Chung, Rolf A. Peterson, Martin A. Katzman, Monica Vermani

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Relatively little is known about the integration of people's fear-related dispositions and their expectations about stressful events. This research used information integration theory to examine how participants' anxiety sensitivity and event expectancy are integrated to determine their social anxiety. Three studies were conducted-two with university students and one with anxiety clinic patients-in which participants were presented with multiple scenarios of a socially embarrassing event, each representing a different degree of event probability, from which subjective expectancies were derived. Independent variables included anxiety sensitivity (low, moderate, high) and event expectancy (low, medium, high, no probability information). Participants were asked to indicate their anxiety (dependent measure) in each expectancy condition in this 3 × 4 mixed, quasi-experimental design. The results of all three studies strongly suggest that anxiety sensitivity and event expectancy are integrated additively to produce social anxiety. Additional results and their implications for the treatment of anxiety-related disorders are also discussed.

Original languageEnglish (US)
Pages (from-to)42-68
Number of pages27
JournalCognition and Emotion
Volume23
Issue number1
DOIs
StatePublished - 2009
Externally publishedYes

Keywords

  • Anxiety sensitivity
  • Expectancy
  • Information integration
  • Social anxiety

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)

Fingerprint

Dive into the research topics of 'Information integration and emotion: How do anxiety sensitivity and expectancy combine to determine social anxiety?'. Together they form a unique fingerprint.

Cite this