Abstract
The Department of Defense continues to invest in the development and validation of several accident investigation and reporting methodologies geared toward the accurate analysis of human factors issues. Recently, a joint memorandum of agreement was signed by each of the military services to use the DoD Human Factors Analysis and Classification System (HFACS). While a great deal of research has been devoted to assessing the validity of HFACS as applied to DoD mishaps, less research has focused on the utility of the model as both an accident investigation and reporting tool. The primary aim of this research was to apply lifted rule probabilities at the nanocode level within HFACS to identify common linkages within the DoD version of HFACS.
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