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Implicit Biases in Blame Allocation of Accidents Across Organizational Components (Worker, Supervisor and Organization)

机译:跨组织组成部分(工作人员,主管和组织)的事故归咎于隐性偏见

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The objective of this study is to examine the relationship between implicit biases and blame allocation of accidents across organizational components (workers, supervisors, and organization). The 'European American-African American' and created 'Latino-African American' Implicit Association Tests (IAT) were used to measure the participants' implicit biases. The Accident Blame Allocation instrument was used to measure the participants' blame allocations, which included accident scenarios with pictures of male and female faces of European Americans, African Americans and Latinos. A total of 102 students, aged from 18 to 23, participated in the study. Results of the two IATs showed that the participants did not have obvious preference tendencies toward any ethnicity, and the 'European American-African American' and 'Latino-African American' IATs have a positive correlation with score of 0.48 (p < 0.0001). Results of this study showed that implicit bias did not significantly correlate with accident blame allocation but that the participants' attitudes toward different ethnic groups affected their accident blame allocation patterns.
机译:这项研究的目的是研究隐性偏见与组织各组成部分(员工,主管和组织)的事故责任归咎之间的关系。使用“欧洲裔美国人-非裔美国人”和创建的“拉丁裔-非裔美国人”隐性联想测验(IAT)来衡量参与者的隐性偏见。事故责任分配工具用于衡量参与者的责任分配,其中包括事故场景,其中包含欧美人,非裔美国人和拉丁美洲人的男女面孔图片。共有102位年龄在18至23岁之间的学生参加了这项研究。两次IAT的结果表明,参与者对任何种族都没有明显的偏好倾向,“欧洲裔-美洲裔”和“拉丁美洲裔-非洲裔” IAT的得分呈正相关,为0.48(p <0.0001)。这项研究的结果表明,内隐偏见与事故责任分配没有显着相关,但是参与者对不同种族的态度影响了他们的事故责任分配模式。

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