摘要
为控制矿工不安全情绪,提高人因可靠性水平,基于文献和访谈研究初步识别出21种矿工不安全情绪,并据此编制调查问卷,用来自3个煤矿的196份数据,采用SPSS 24.0软件检测了调查问卷的信效度,识别出了矿工关键不安全情绪,采用一维组间方差分析矿工关键不安全情绪是否具有传记特征的差异性。结果表明:调查问卷具有较好的信效度,紧张、不坚定、焦虑、压抑、易怒、厌烦和困倦为矿工日常体验较频繁的关键不安全情绪,易怒和紧张分别在不同婚姻状况、不同工种间具有一定的差异性,压抑在不同工种和工作年限间均具有一定的差异,其他关键不安全情绪在矿工传记特征上没有显著差异。且所有关键不安全情绪在不同学历和不同年龄水平上没有显著差异。
In order to control the unsafe emotions of miners and improve the reliability of human factors,21 kinds of unsafe emotions of miners were initially identified based on literature and interview research.Then the questionaire was compiled with its reliability and validity tested by SPSS 24.0 software,and a further identification was achieved of the key unsafe emotions based on 196 data from three coal mines.A analysis of variance was used to explore whether the key unsafe emotions of miners differed in biographical features.The results show that the questionnaire is good in reliability and validity.Tension,infirmness,anxiety,repression,irritability,boredom and drowsiness are the key unsafe emotions that miners experience more frequently in their daily lives.Irritability and tension have certain differences in different marital status and different jobs,and repression has certain differences in different types of work and working years,and other key unsafe emotions have no significant differences in the biographical features of miners.And all key unsafe emotions are not significantly different at different educational levels and different ages.
作者
李广利
田水承
严一知
陈耀光
吴泽玉
LI Guangli;TIAN Shuicheng;YAN Yizhi;CHEN Yaoguang;WU Zeyu(School of Safety and Management Engineering,Hunan Institute of Technology,Hengyang 421002,China;College of Safety Science and Engineering,Xi’an University of Science and Technology,Xi’an 710054,China)
出处
《西安科技大学学报》
CAS
北大核心
2021年第5期793-799,共7页
Journal of Xi’an University of Science and Technology
基金
湖南省自然科学基金青年基金项目(2019JJ50109)
湖南省教育厅科学研究项目(18A420)
国家自然科学基金项目(51874237)
湖南省大学生创新创业项目(S202011528045)。
关键词
安全管理
矿工
不安全情绪
传记特征
方差分析
safety management
miner
unsafe emotion
biographical feature
variance analysis