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Assessment of the human factors analysis and classification system (hfacs): Intra-rater and inter-rater reliability.

机译：人为因素分析和分类系统（hfacs）的评估：评估者内部和评估者之间的可靠性。

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摘要

Human error has been identified as the primary contributing cause for up to 80% of the accidents in complex, high risk systems such as aviation, oil and gas, mining and healthcare. Many models have been proposed to analyze these incidents and identify their causes, focusing on the human factor. One such safety model is the Human Factors Analysis and Classification System (HFACS), a comprehensive accident investigation and analysis tool which focuses not only on the act of the individual preceding the accident but on other contributing factors in the system as well. Since its development, HFACS has received substantial research attention; however, the literature on its reliability is limited. This study adds to past research by investigating the overall intra-rater and inter-rater reliability of HFACS in addition to the intra-rater and inter-rater reliability for each tier and category. For this investigation, 125 coders with similar HFACS training coded 95 causal factors extracted from actual incident/accident reports from several sectors. The overall intra-rater reliability was evaluated using percent agreement, Krippendorff's Alpha, and Cohen's Kappa, while the inter-rater was analyzed using percent agreement, Krippendorff's Alpha, and Fleiss' Kappa. Because of analytical limitations, only percent agreement and Krippendorff's Alpha were used for the intra-rater evaluation at the individual tier and category level and Fleiss' Kappa and Krippendorff's Alpha, for the corresponding inter-rater evaluation. The overall intra-rater and inter-rater results for the tier level and the individual HFACS tiers achieved acceptable reliability levels with respect to all agreement coefficients. Although the overall intra-rater and inter-rater reliability results at the category level were lower than the tier level, both types of reliabilities achieved acceptable levels with inter-rater reliability being lower than intra-rater. In addition, the intra-rater and inter-rater results for the individual HFACS categories varied from achieving low reliability levels to being acceptable. Both the inter-rater and intra-rater results found that the same 5 categories among the 19 - Skill Based Error, Decision Error, Inadequate Supervision, Planned Inappropriate Operations, and Supervisory Violation - were lower than the required minimum reliability threshold. While the overall findings suggest that HFACS is reasonably reliable, the fact that there were 5 categories with low reliability levels requires further research on ways and methods to improve its reliability. One such method could be to focus on training by designing and developing a standard HFACS training program that improves its reliability, which will have the potential to enhance both the confidence in using it as an accident analysis tool and the effectiveness of the safety plans and strategies based on it.
机译：在航空，石油和天然气，采矿和医疗保健等复杂的高风险系统中，人为错误已被确定为造成多达80％事故的主要原因。已经提出了许多模型来分析这些事件并确定其原因，重点是人为因素。一种这样的安全模型是人为因素分析和分类系统（HFACS），这是一种全面的事故调查和分析工具，不仅着重于事故发生前的个人行为，还着重于系统中的其他影响因素。自开发以来，HFACS受到了广泛的研究关注。但是，有关其可靠性的文献有限。这项研究通过调查HFACS的整体内部评估者和内部评估者可靠性以及每个层级和类别的内部评估者和内部评估者可靠性，增加了过去的研究。对于此调查，具有HFACS培训的125位编码员对从多个部门的实际事件/事故报告中提取的95个因果进行了编码。评估者之间的整体可靠性使用百分一致性，Krippendorff的Alpha和Cohen的Kappa进行评估，而评估者间的可靠性则使用百分一致性，Krippendorff的Alpha和Fleiss'Kappa进行分析。由于分析的局限性，仅百分比协议和Krippendorff的Alpha分别用于各个等级和类别级别的评估者内部评估，而Fleiss'Kappa和Krippendorff的Alpha用于相应的评估者内部评估。相对于所有协议系数，层级和单个HFACS层的整体内部评估者和内部评估者结果达到了可接受的可靠性等级。尽管类别级别的整体内部评估者和内部评估者可靠性结果低于层级，但两种类型的可靠性均达到了可接受的水平，而内部评估者的可靠性低于内部评估者。此外，各个HFACS类别的评估者内部和评估者之间的结果从实现低可靠性级别到可以接受不等。评估者之间和评估者内部的结果均发现，在19种技能中，基于技能的错误，决策错误，监督不充分，计划中的不当操作和监督违规的5个类别均低于所需的最低可靠性阈值。尽管总体发现表明HFACS是相当可靠的，但存在5个类别的可靠性较低的事实需要进一步研究以提高其可靠性。一种这样的方法可能是通过设计和开发提高其可靠性的标准HFACS培训计划来专注于培训，这将有可能增强将其用作事故分析工具的信心以及安全计划和策略的有效性。基于它。

著录项

  • 作者

    Ergai, Awatef Omar.;

  • 作者单位

    Clemson University.;

  • 授予单位 Clemson University.;
  • 学科 Engineering General.;Engineering System Science.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 170 p.
  • 总页数 170
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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