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A risk-based model of public perceptions of crime and disorder

机译:基于风险的公众对犯罪和混乱观念的模型

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Incivilities research and related ‘broken windows’ crime control policies are based on the notion that citizens causally distinguish between crime and disorder. Subjective measures of crime and disorder, however, have (1) failed to supportive evidence of the two as distinctly separate constructs and (2) have shown divergent findings in different research frames. This paper argues that the public does not differentiate among these concepts - or in community conditions associated with criminogenic outcomes - in the same way that researchers have. Instead, the subjective interpretation of specific risks and their concrete circumstances by community members is a pragmatic assessment of associated conditions, and varies according to local community dynamics. However, these concepts share a central organizing principle and logic, that of perceived risk. We first assess the underlying structure of citizens’ perceptions of perceived risks, assessing the latent structure of 24 measures of perceived risk. We then assess, using a second-order factor analysis, whether a unifying risk concept ties together the first-order factors in a meaningful way.View full textDownload full textKeywordscrime and disorder, perceived risk, factor analysisRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/1478601X.2012.699732
机译:公民研究和相关的“破窗”犯罪控制政策基于这样一种观念,即公民在因果上区分犯罪和混乱。然而,犯罪和混乱的主观衡量指标(1)未能将两者的支持证据作为截然不同的构造,并且(2)在不同的研究框架中显示出不同的发现。本文认为,公众不会像研究人员一样,在这些概念之间或在与犯罪后果相关的社区条件之间进行区分。相反,社区成员对特定风险及其具体情况的主观解释是对相关条件的务实评估,并且会根据当地社区的动态而变化。但是,这些概念具有中心的组织原则和逻辑,即感知风险。我们首先评估公民对感知风险的感知的潜在结构,然后评估24种感知风险度量的潜在结构。然后,我们使用二阶因子分析来评估统一的风险概念是否以有意义的方式将一阶因子联系在一起。查看全文下载全文关键字犯罪和混乱,感知风险,因子分析相关变量var addthis_config = {ui_cobrand:“泰勒&Francis Online”,services_compact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/1478601X.2012.699732

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