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dc.contributor.authorDekker, Sidneyen_US
dc.date.accessioned2011-09-02en_US
dc.date.accessioned2014-09-24T04:59:01Z
dc.date.accessioned2017-03-01T23:54:12Z
dc.date.available2017-03-01T23:54:12Z
dc.date.issued2003en_US
dc.date.modified2014-09-24T04:59:01Z
dc.identifier.issn1532-7108en_US
dc.identifier.doi10.1207/S15327108IJAP1302_01en_US
dc.identifier.urihttp://hdl.handle.net/10072/63135
dc.description.abstractError classification methods are used throughout aviation to help understand and mitigate the causes of human error. However, many assumptions underlying error classification remain untested. For example, error is taken to mean different things, even within individual methods, and a close mapping is uncritically presumed between the quantity measured (errors)and the quality managed (safety). Further, error classifications can deepen investigative biases by merely relabeling error rather than explaining it. This article reviews such assumptions and proposes alternative solutions.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.publisherTaylor and Francisen_US
dc.publisher.placeUKen_US
dc.relation.ispartofpagefrom95en_US
dc.relation.ispartofpageto106en_US
dc.relation.ispartofissue2en_US
dc.relation.ispartofjournalInternational Journal of Aviation Psychologyen_US
dc.relation.ispartofvolume13en_US
dc.subject.fieldofresearchPsychologyen_US
dc.subject.fieldofresearchcode170199en_US
dc.titleIllusions of Explanation: A Critical Essay on Error Classificationen_US
dc.typeJournal article
dc.type.descriptionJournal Articles (Refereed Article)en_US
dc.type.codec1xen_US
gro.facultyArts, Education and Lawen_US
gro.hasfulltextNo Full Text


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