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Communicating risks: examining hazard and outrage in multiple contexts.

Kenneth Lachlan1, Patric R Spence

  • 1Communication Studies and Center for Rebuilding Sustainable Communities After Disasters, University of Massachusetts Boston, Boston, MA 02125, USA. ken.lachlan@umb.edu

Risk Analysis : an Official Publication of the Society for Risk Analysis
|November 3, 2010
PubMed
Summary
This summary is machine-generated.

This study validates Peter Sandman's risk communication model, demonstrating its heuristic value and applicability in real-world settings. Findings reveal differences in risk perception based on sex and race.

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Area of Science:

  • Risk communication
  • Psychology
  • Health communication

Background:

  • Peter Sandman's risk communication model provides a framework for understanding public perception of hazards.
  • Existing research highlights the need for validated measurement tools in risk communication.

Purpose of the Study:

  • To examine the heuristic value of Peter Sandman's risk communication model.
  • To test and expand the model's constructs and establish a measurement model.
  • To assess the model's utility in an applied field setting.

Main Methods:

  • Three studies were conducted: two laboratory studies to test and manipulate constructs, and one field study to extend the measurement model.
  • Descriptive analyses were used to examine differences in risk perception based on demographic factors.

Main Results:

  • The laboratory studies confirmed the congruence between the model and empirical data, and demonstrated the capacity for construct manipulation.
  • The field study successfully extended the measurement model's scope and usefulness in an applied context.
  • Significant differences in risk perception were observed between sexes and races.

Conclusions:

  • Peter Sandman's risk communication model possesses heuristic value and can be effectively measured and applied.
  • The validated measurement model offers practical implications for improving risk communication strategies.
  • Understanding demographic influences on risk perception is crucial for targeted communication efforts.