Negative Threat Appeals and Earthquake Preparedness: A Person-Relative-to-Event (PrE) Approach

负面威胁呼吁和地震准备：人与事件相关 (PrE) 方法

• 批准号: 9726575
• 负责人: Stephen Read
• 金额: $ 36.78万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-09-15 至 2002-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9726575&HistoricalAwards=false
• 关键词: Negative; Threat; Appeals; Earthquake; Preparedness

CMS 9726575 Duval Previous research suggests that exposure to a fear-arousing or negative threat appeal type of persuasive communication can increase level of earthquake preparedness. In this study a theory of coping with threatening events referred to as the person-relative-to-event (PrE) approach is used to generate predictions concerning the impact of this type of communication on earthquake preparedness. In particular, using PrE theory as a theoretical framework, the proposed research extends prior findings by determining which levels and combination of various levels of the variables included in the content of negative threat appeals are most effective in increasing earthquake preparedness. The research will be conducted in laboratory and field settings and will seek to (1) advance the technological base on earthquake preparedness by determining the conditions that increase individual and household preparedness and mitigation, and (2) expand the existing data base on earthquake preparedness by obtaining data on current levels of household preparedness among two different populations. The outcomes from the research can be incorporated into existing earthquake preparedness programs and can also be applied to hazards other than earthquakes, e.g., floods, hurricanes, and tornadoes.

CMS 9726575 Duval 先前的研究表明，暴露在一种引起恐惧或消极威胁的说服性沟通类型中可以提高地震准备水平。 在这项研究中，一个理论的应对威胁事件被称为人相对于事件（PrE）的方法是用来产生预测的影响，这种类型的通信对防震。 特别是，使用PrE理论作为一个理论框架，拟议的研究扩展了先前的研究结果，确定哪些水平和组合的各种水平的变量包括在内容的负面威胁上诉是最有效的，增加地震准备。 这项研究将在实验室和实地环境中进行，并将寻求（1）通过确定提高个人和家庭备灾和减灾的条件来推进地震备灾的技术基础，以及（2）通过获得两种不同人群中家庭备灾水平的数据来扩大现有的地震备灾数据库。 研究结果可以纳入现有的地震防备计划，也可以应用于地震以外的灾害，例如，洪水飓风和龙卷风