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A quantification of the reliability of self-reports following a simulated stressful event

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Title: A quantification of the reliability of self-reports following a simulated stressful event
Authors: Shipman, A
Dezecache, G
Majumdar, A
Item Type: Journal Article
Abstract: Interviews and surveys are the most commonly used data-gathering and data-generating techniques when investigating human behaviour in emergencies. However, these approaches suffer from several limitations, including potential errors in memory accuracy, a lack of quantitative reliability. This study focuses on a survey performed on participants who had taken part in a stressful experiment. The survey was carried out three months afterwards, asking them to recall their experience. Analysis of this data quantitatively assesses their recall, across multiple different domains. This study observed several differences between experimental and control group participants, as well as differences between participants in VR and Physical experimental groups. However, it observes no increase in confabulation as a result of increased stress. The outcome of this study is to provide insight into the quantitative reliability of interviews and surveys of people involved in emergencies.
Issue Date: Feb-2023
Date of Acceptance: 15-Dec-2022
URI: http://hdl.handle.net/10044/1/101452
DOI: 10.1016/j.ijdrr.2022.103502
ISSN: 2212-4209
Publisher: Elsevier BV
Start Page: 1
End Page: 10
Journal / Book Title: International Journal of Disaster Risk Reduction
Volume: 86
Copyright Statement: © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Publication Status: Published
Article Number: 103502
Online Publication Date: 2022-12-23
Appears in Collections:Civil and Environmental Engineering



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