Abstract
This study investigated human error across a variety of industry types utilizing the Human Factors Classification and Analysis System (HFACS). One of the goals of the present study was to determine any similarities or disparities across industry type in regards to HFACS causal categories. Seven data sources represented five different industry types were collected and analyzed for percentage of cases associated with a causal factor at each HFACS causal category. Skill-based errors were found to dominate the unsafe acts tier regardless of industry type. Different statistical methods for determining population differences yielded conflicting results. Significant differences were found among certain data source pairings when the traditional two-proportion z-test was applied; however, the differences were found to be non-significant when the false discovery rate method was applied.
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