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Evaluating the Reliability of the Human Factors Analysis and Classification System
Tara N Cohen1, Douglas A Wiegmann, Scott A Shappell
1Embry-Riddle Aeronautical University, Daytona Beach, FL, USA.
The Human Factors Analysis and Classification System (HFACS) shows good reliability for analyzing accidents. Higher training and adherence to the framework improve its accuracy in coding human error.
Area of Science:
- Human Factors Engineering
- Aviation Safety
- Accident Investigation
Background:
- The Human Factors Analysis and Classification System (HFACS) is a tool used for coding human error and contributing factors in accidents.
- Assessing the reliability of HFACS is crucial for its effective application in accident and incident analysis.
Purpose of the Study:
- To systematically review and evaluate the reported reliability of the Human Factors Analysis and Classification System (HFACS).
- To identify factors influencing the reliability of HFACS in accident and incident analysis.
Main Methods:
- A systematic review was conducted on peer-reviewed manuscripts published between 2001 and 2014.
- 14 manuscripts reporting data on HFACS reliability were included in the review.
Main Results:
- The majority of reviewed studies reported acceptable interrater and intrarater reliability for HFACS.
- Reliability was found to be higher with increased training and larger sample sizes.
Conclusions:
- HFACS demonstrates acceptable reliability for accident and incident analysis.
- Minimizing deviations from the original HFACS framework enhances its reliability.
- Future use of HFACS should incorporate enhanced training and adherence to the framework to maximize utility and reliability.
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