Identifying the Important Contributory Factors From Maintenance Error Decision Aid (MEDA) Data

Autor:	Michael Newman, Steve Scott
Rok vydání:	2022
Předmět:	General Medicine
Zdroj:	Aviation Psychology and Applied Human Factors. 12:84-91
ISSN:	2192-0931 2192-0923
Popis:	Abstract. Aviation maintenance organizations that monitor frequencies of contributory factor taxonomy codes historically struggle to identify which contributory factors are most potent. This research used Boeing’s Maintenance Error Decision Aid (MEDA) to categorize 138 aviation maintenance accident, incident, and occurrence report narratives. Analyses of contingency tables using Pearson’s chi-square, lambda, and odds ratio statistics revealed that a modest frequency of communication was highly significantly associated with leadership and supervision, individual factors, and technical knowledge contributory factors. The results demonstrate that use of these analyses goes beyond frequency and singular associative methods to identify the presence and strength of associations between contributory factors.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::91f4f5c4d8df24be78b79a52996e03d4 https://doi.org/10.1027/2192-0923/a000226 Zobrazit plný text záznamu