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Normalization of deviation: Quotation error in human factors

journal contribution
posted on 2019-03-26, 00:00 authored by J Lock, Christopher BearmanChristopher Bearman
Objective: The objective of this paper is to examine quotation error in human factors. Background: Science progresses through building on the work of previous research. This requires accurate quotation. Quotation error has a number of adverse consequences: loss of credibility, loss of confidence in the journal, and a flawed basis for academic debate and scientific progress. Quotation error has been observed in a number of domains, including marine biology and medicine, but there has been little or no previous study of this form of error in human factors, a domain that specializes in the causes and management of error. Methods: A study was conducted examining quotation accuracy of 187 extracts from 118 published articles that cited a control article (Vaughan’s 1996 book: The Challenger Launch Decision: Risky Technology, Culture, and Deviance at NASA). Results: Of extracts studied, 12.8% (n = 24) were classed as inaccurate, with 87.2% (n = 163) being classed as accurate. A second dimension of agreement was examined with 96.3% (n = 180) agreeing with the control article and only 3.7% (n = 7) disagreeing. The categories of accuracy and agreement form a two by two matrix. Conclusion: Rather than simply blaming individuals for quotation error, systemic factors should also be considered. Vaughan’s theory, normalization of deviance, is one systemic theory that can account for quotation error. Application: Quotation error is occurring in human factors and should receive more attention. According to Vaughan’s theory, the normal everyday systems that promote scholarship may also allow mistakes, mishaps, and quotation error to occur. © 2018, © 2018, Human Factors and Ergonomics Society.

History

Volume

60

Issue

3

Start Page

293

End Page

304

Number of Pages

12

eISSN

1547-8181

ISSN

0018-7208

Publisher

Sage Publications, US

Peer Reviewed

  • Yes

Open Access

  • No

Acceptance Date

2017-11-24

Author Research Institute

  • Appleton Institute

Era Eligible

  • Yes

Journal

Human Factors