Developing a model to predict aircraft maintenance performance

Fogarty, Gerard J. and Saunders, Robert and Collyer, Robert (1999) Developing a model to predict aircraft maintenance performance. In: The Proceedings of the 10th International Symposium on Aviation Psychology. Ohio State University, Columbus, Ohio, pp. 1-6.

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Abstract

[Abstract]: A three-pronged approach was adopted to the investigation of causes of maintenance errors in army aviation. In the first phase of the research, analysis of maintenance incident reports suggested that individuals were mostly at fault, making errors because they failed to follow procedures and were inadequately supervised. Interviews with maintenance technicians, on the other hand, put the spotlight on organisational variables, such as pressures created by poor planning. In the third phase, a survey instrument administered to 448 maintenance workers was used to develop a structural model that predicted 34% of the variance in psychological health, 16% of the variance in turnover intentions, and 16% of the variance in self-reported maintenance errors. Implications of these findings are discussed.

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Item Type:	Book Chapter (Commonwealth Reporting Category B)
Refereed:	Yes
Item Status:	Live Archive
Additional Information:	No evidence of copyright restrictions. The correct APA citation for this paper is: Fogarty, G., & Saunders, R., & Collyer, R. (1999). Developing a model to predict aircraft maintenance performance. In R. Jensen (Ed.), Proceedings of the 10th International Symposium on Aviation Psychology, 3-6 May 1999 (pp. 1-6). [CD-ROM]. Columbus, Ohio: The Ohio State University.
Depositing User:	Prof. Gerry Fogarty
Faculty / Department / School:	Historic - Faculty of Sciences - Department of Psychology
Date Deposited:	11 Oct 2007 00:33
Last Modified:	02 Jul 2013 22:35
Uncontrolled Keywords:	human error, aviation maintenance errors, maintenance errors, psychological strain and maintenance errors, safety climate
Fields of Research :	17 Psychology and Cognitive Sciences > 1701 Psychology > 170107 Industrial and Organisational Psychology
URI:	http://eprints.usq.edu.au/id/eprint/1035

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