机构地区: 中国政法大学刑事司法学院,北京 100088
出 处: 《中国健康心理学杂志》 2017年第9期1363-1369,共7页
摘 要: 目的:探讨暴力风险水平、冷酷无情特质(CU)、认知共情能力和情绪识别之间的关系。方法:使用暴力风险评估量表在某监狱400余名暴力犯中挑选出高暴力风险组和低暴力风险组各30名,并使用冷酷无情量表、观眼读心测试和情绪识别任务分析比较两组之间的特点。结果:高暴力风险组冷酷无情量表得分(t=4.03,P<0.01)和恐惧(F=10.69,P<0.01)、悲伤(F=7.01,P<0.01)情绪面孔识别错误率都显著高于低暴力风险的暴力犯,观眼读心测试结果在两组之间没有显著差异(t=-1.22,P=0.531)。暴力风险水平对恐惧情绪识别有正向预测作用(β=0.114,P<0.01),冷酷无情特质对恐惧情绪识别有正向预测作用(β=0.002,P<0.01),综合预测力为20.6%,冷酷无情特质在暴力风险水平和恐惧情绪识别错误率之间起了完全中介的作用(β=0.38,P<0.01),中介效应占总效应的62.4%。结论:高暴力风险罪犯表现出了更高的冷酷无情水平和更差的情绪识别,CU特质可以较好预测暴力犯的恐惧情绪识别缺陷。 Objective:To explore the relation among violence risk level,callous- unemotional traits,empathy and facial emotion recognition.Methods:Violence Risk Scale(VRS)was used to select 30 high violence risk offenders (VRS〉35)and 30 low violence risk offenders(VRS〈20)from more than 400 male violent criminals.The Inventory of Callous-Unemotional Traits,Reading the mind in the eyes test and a Facial Emotion Recognition Task were used to analyze characteristics of these two groups.Results:By comparing with low violence offenders,high violence of-fenders showed significantly higher CU scores(t =4.03,P 〈0.01)and poorer fear(F =10.69,P 〈0.01)and sadder recognition(F =7.01,P 〈0.01).No significant difference(P 〉0.05 )in results of REMT had been showed between the two groups.Fear recognition was positively predicted both by violence risk level(β= 0.114,P 〈 0.01 )and CU traits(β=0.002,P 〈0.01).They could explain about 20.6% of the total variance.CU traits acted as a complete medi-ator between violence risk level and fear recognition(β=0.38,P 〈0.01)and the intermediary effect ratio was 62.4%. Conclusion:High violence offenders display poor emotion recognition and high level of CU traits.CU traits can be used to predict fear recognition of violence offenders.