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Latent trait models for perceived risk assessment using a Covid-19 data survey
Journal of Applied Statistics ( IF 1.2 ) Pub Date : 2021-06-07 , DOI: 10.1080/02664763.2021.1937584
S Bacci 1 , R Fabbricatore 2 , Maria Iannario 3
Affiliation  

Aim of the contribution is analyzing potential events that may negatively impact individuals, assets, and/or the environment, and making judgments about the perceived personal and social riskiness of Covid-19 compared to other hazards belonging to health (AIDS, cancer, infarction), environmental (climate change), behavioral (serious car accidents), and technological (nuclear weapons) domains. The comparative risk analysis has been performed on a survey data collected during the first Italian Covid-19 lockdown. An item response theory model for polytomously scored items has been implemented for the analysis of the positioning of Covid-19 with respect to the other hazards in terms of perceived risk. Among the attributes determining the hazard's perceived risk, Covid-19 distinguishes for the knowledge of risks from the hazard, media attention, and fear caused by the hazard in the peers. Besides, through a latent regression analysis, the role of some individual characteristics on the perceived risk for Covid-19 has been examined. Our contribution allows us to disentangle among several aspects of hazards and describe the main factors affecting the perceived risk. It also contributes to determine if existing control measures are perceived as adequate and the interest for new media with related impact on a person's reaction.



中文翻译:

使用 Covid-19 数据调查进行感知风险评估的潜在特征模型

贡献的目的是分析可能对个人、资产和/或环境产生负面影响的潜在事件,并与其他健康危害(艾滋病、癌症、梗塞)相比,对 Covid-19 对个人和社会的感知风险做出判断、环境(气候变化)、行为(严重车祸)和技术(核武器)领域。比较风险分析是根据意大利首次 Covid-19 封锁期间收集的调查数据进行的。已采用多级评分项目的项目反应理论模型来分析 Covid-19 相对于其他危害在感知风险方面的定位。在决定危害感知风险的属性中,Covid-19 将风险知识与危害、媒体关注以及同行危害引起的恐惧区分开来。此外,通过潜在回归分析,研究了一些个人特征对 Covid-19 感知风险的作用。我们的贡献使我们能够理清危害的几个方面,并描述影响感知风险的主要因素。它还有助于确定现有的控制措施是否被认为足够以及对新媒体的兴趣与个人反应的相关影响。

更新日期:2021-06-07
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