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暴力是达拉斯温度的曲线函数:一项重复研究。

Violence is a curvilinear function of temperature in Dallas: a replication.

作者信息

Rotton J, Cohn E G

机构信息

Department of Psychology, Florida International University, Miami 35159, USA.

出版信息

J Pers Soc Psychol. 2000 Jun;78(6):1074-81. doi: 10.1037//0022-3514.78.6.1074.

Abstract

Data on weather and aggravated assaults were obtained to determine whether the curvilinear relationship between temperature and violence previously observed in Minneapolis, Minnesota (E. G. Cohn & J. Rotton, 1997), could be replicated. The data consisted of calls for services received by police in Dallas between January 1, 1994, and December 31, 1995. Controlling for holidays, school closings, time of day, day of the week, season of the year, and their interactions, moderator-variable autoregression analyses indicated that assaults were an inverted U-shaped function of temperature. Replicating past research, the curvilinear relationship was dominant during daylight hours and spring months, whereas linear relationships were observed during nighttime hours and other seasons. The results are interpreted in terms of routine activity theory and the negative affect escape model of aggression.

摘要

获取了天气和严重袭击事件的数据,以确定先前在明尼苏达州明尼阿波利斯观察到的温度与暴力之间的曲线关系(例如,E.G.科恩和J.罗顿,1997年)是否可以重现。数据包括1994年1月1日至1995年12月31日期间达拉斯警方接到的服务请求电话。在控制节假日、学校放假、一天中的时间、一周中的日期、一年中的季节及其相互作用后,调节变量自回归分析表明,袭击事件是温度的倒U形函数。与过去的研究一致,曲线关系在白天和春季月份占主导地位,而在夜间和其他季节则观察到线性关系。研究结果根据日常活动理论和攻击行为的负面影响逃避模型进行了解释。

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