Does information reduce interpersonal violence? Evidence from prisons

IF 3.1 1区 社会学 Q1 SOCIOLOGY
Aron Szekely
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引用次数: 0

Abstract

Why does interpersonal violence erupt? A key source is conflict over resources and a little-studied mechanism for solving such cases concerns the availability of credible information about individuals’ abilities and willingness to use force. Its core prediction is that when such credible information abounds, the outcome of a potential struggle can be anticipated and thus there is no need to fight. I test this prediction using a nationally representative survey of male prisoners (Ninmates = 10,768, Nfacilities = 207) incarcerated in US state correctional facilities. I also make two methodologically orientated contributions. First, recent research highlights the important consequences that data analysis choices can have in determining quantitative findings. To overcome this, I draw on multiverse analysis and specification curve analysis to map out the key analytical decisions I make and run 262,144 plausible regression models. By doing so, I classify associations that are robust, mixed, or entirely frail according to analytic decisions and find partial support for the informational mechanism of interpersonal violence. Second, in contrast to much quantitative prison research, which uses only official or institutionally punished assaults data, I compare self-recognized fights to self-reported institutionally punished fights and highlight key differences.
信息能减少人际暴力吗?来自监狱的证据
为什么会爆发人际暴力?一个关键的原因是资源冲突,而解决此类案件的一个鲜有研究的机制是关于个人使用武力的能力和意愿的可信信息。其核心预测是,当这种可信信息充斥时,潜在斗争的结果就可以预见,因此就没有必要争斗。我通过对美国各州惩教机构中的男性囚犯(Ninmates = 10,768, Nfacilities = 207)进行全国代表性调查来验证这一预测。我还在方法论上做出了两点贡献。首先,最近的研究强调了数据分析选择对定量研究结果的重要影响。为了克服这一问题,我借鉴了多元宇宙分析和规格曲线分析,绘制出我所做的关键分析决策,并运行了 262,144 个可信的回归模型。通过这样做,我根据分析决策对稳健、混合或完全脆弱的关联进行了分类,并发现了对人际暴力信息机制的部分支持。其次,与许多监狱定量研究只使用官方或机构处罚的攻击数据不同,我将自我承认的打架斗殴与自我报告的机构处罚的打架斗殴进行了比较,并突出了两者之间的主要差异。
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来源期刊
CiteScore
5.80
自引率
9.40%
发文量
56
期刊介绍: European Sociological Review contains articles in all fields of sociology ranging in length from short research notes up to major reports.
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