Main content
Individual vs. Statistical Lives In Public Health Messaging (COVID19)
Date created: 2020-04-15 06:15 PM | Last Updated: 2022-08-17 08:48 PM
Category: Project
Description: Investigating the causal effect of mentioning individual (vs. statistical) victims when recommending public health cooperation.
Background
Paul Slovic argues that people are more influenced by stories about individual victims of tragedy than statistical information about the masses of victims of the tragedy (e.g., Slovic, 2007).
Hypotheses
We predict that people’s intentions to adopt public health recommendations (e.g., hand washing, physical distancing, etc.) will be better predicted by information about individual victim…
Files
Files can now be accessed and managed under the Files tab.
Citation
Recent Activity
Unable to retrieve logs at this time. Please refresh the page or contact support@osf.io if the problem persists.
Start managing your projects on the OSF today.
Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.