Coding ATC Incident Data Using HFACS: Intercoder Consensus
Author(s) -
Liang Wang,
Yaohua Wang,
Xiaoqiang Yang,
Kai Cheng,
Haishan Yang,
Baoguo Zhu,
Chengfei Fan,
Xinwei Ji
Publication year - 2011
Publication title -
journal of quality and reliability engineering
Language(s) - English
Resource type - Journals
eISSN - 2314-8047
pISSN - 2314-8055
DOI - 10.1155/2011/379129
Subject(s) - comparability , air traffic control , coding (social sciences) , psychology , reliability (semiconductor) , computer science , statistics , engineering , mathematics , power (physics) , physics , combinatorics , quantum mechanics , aerospace engineering
Reliability studies for coding contributing factors of incident reports in high hazard industries are rarely conducted and reported. Although the Human Factors Analysis and Classification System (HFACS) appears to have a larger number of such studies completed than most other systems doubt exists as the accuracy and comparability of results between studies due to aspects of methodology and reporting. This paper reports on a trial conducted on HFACS to determine its reliability in the context of military air traffic control (ATC). Two groups participated in the trial: one group comprised of specialists in the field of human factors, and the other group comprised air traffic controllers. All participants were given standardized training via a self-paced workbook and then read 14 incident reports and coded the associated findings. The results show similarly low consensus for both groups of participants. Several reasons for the results are proposed associated with the HFACS model, the context within which incident reporting occurs in real organizations and the conduct of the studies
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom