Evaluating the Reliability of the Human Factors Analysis and Classification System
Related Experiment Video
Updated: Apr 3, 2026

Assessment and Communication for People with Disorders of Consciousness
Published on: August 1, 2017
Tara N Cohen1, Douglas A Wiegmann, Scott A Shappell
1Embry-Riddle Aeronautical University, Daytona Beach, FL, USA.
Introduction:
This paper examines the reliability of the Human Factors Analysis and Classification System (HFACS) as tool for coding human error and contributing factors associated with accidents and incidents.
Methods:
A systematic review of articles published across a 13-yr period between 2001 and 2014 revealed a total of 14 peer-reviewed manuscripts that reported data concerning the reliability of HFACS.
Results:
Results revealed that the majority of these papers reported acceptable levels of interrater and intrarater reliability.
Conclusion:
Reliability levels were higher with increased training and sample sizes. Likewise, when deviations from the original framework were minimized, reliability levels increased. Future applications of the framework should consider these factors to ensure the reliability and utility of HFACS as an accident analysis and classification tool.
More Related Videos
07:34Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
06:02Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
Published on: October 6, 2020
Related Concept Videos
Classification of Systems-I
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Classification of Systems-II
Stereotype Content Model
Hazard Rate
Humanistic Psychology
This approach...
The Scientific Method