在COVID-19的背景下,一般偏差的预测因素
Yok-Fong Paat1, Trina L Hope2, Hector Zamora3
1The University of Texas at El Paso, USA.
概括
这项关于COVID-19偏差的研究发现,过去的犯罪行为强烈预测了未来的风险活动. 个体内行为的稳定性尽管存在大流行变化,但仍然很重要.
科学领域:
- 犯罪学 犯罪学
- 心理学 心理学 心理学
- 社会学 社会学 社会学
背景情况:
- 随着COVID-19的流行,出现了独特的情况,可能会影响犯罪行为.
- 了解这一时期普遍偏差的预测因素对于公共安全和政策至关重要.
研究的目的:
- 在COVID-19疫情期间检查个人一般偏差 (物质使用,冒险,财产犯罪,人际冲突/暴力) 的预测因素.
- 评估先前偏差,犯罪机会和COVID-19相关压力的作用.
主要方法:
- 对一般偏差,先前行为,犯罪机会和与流行病相关的压力调查数据的分析.
- 统计建模以确定大流行期间偏差的重要预测因素,控制大流行前的行为.
主要成果:
- 之前的偏差是大流行期间一般偏差的重要预测因素.
- 在控制个人内行为稳定后,很少有流行病特异性因素 (机会,应变) 仍然显著.
- 患有大流行前偏差的人更有可能从事其他高风险活动.
结论:
- 个体内行为稳定是理解一般偏差的一个关键因素,即使是在COVID-19流行病等重大社会破坏期间.
- 犯罪和高风险行为模式的连续性表明个人对偏差的倾向是稳定的.
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