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Catastrophe Model of the Accident Process, Safety Climate, and Anxiety

机译:事故过程,安全气候和焦虑的突变模型

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摘要

This study aimed (a) to address the evidence for situational specificity in the connection between safety climate to occupational accidents, (b) to resolve similar issues between anxiety and accidents, (c) to expand and develop the concept of safety climate to include a wider range of organizational constructs, (d) to assess a cusp catastrophe model for occupational accidents where safety climate and anxiety are treated as bifurcation variables, and environmental hazards are asymmetry variables. Bifurcation, or trigger variables can have a positive or negative effect on outcomes, depending on the levels of asymmetry, or background variables. The participants were 1262 production employees of two steel manufacturing facilities who completed a survey that measured safety management, anxiety, subjective danger, dysregulation, stressors and hazards. Nonlinear regression analyses showed, for this industry, that the accident process was explained by a cusp catastrophe model in which safety management and anxiety were bifurcation variables, and hazards, age and experience were asymmetry variables. The accuracy of the cusp model (R~2 = . 72) exceeded that of the next best log-linear model (R~2 = . 08) composed from the same survey variables. The results are thought to generalize to any industry where serious injuries could occur, although situationally specific effects should be anticipated as well.
机译:这项研究的目的是(a)解决安全气候与职业事故之间联系的情境特殊性证据,(b)解决焦虑与事故之间的类似问题,(c)扩大和发展安全气氛的概念,以包括(d)评估职业事故的尖峰突变模型,其中安全气候和焦虑被视为分叉变量,环境危害是不对称变量。分叉或触发变量可能会对结果产生正面或负面影响,具体取决于不对称程度或背景变量。参加者是两家钢铁制造厂的1262名生产员工,他们完成了一项调查,该调查测量了安全管理,焦虑,主观危险,失调,压力源和危害。非线性回归分析表明,对于该行业,事故过程是由尖点突变模型解释的,其中安全管理和焦虑是分叉变量,危害,年龄和经验是不对称变量。尖点模型的精度(R〜2 =。72)超过了由相同测量变量组成的次佳对数线性模型(R〜2 =。08)的精度。该结果被认为可推广到可能发生严重伤害的任何行业,尽管也应根据情况预期会产生特定的影响。

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