A quantification of the reliability of self-reports following a simulated stressful event
File(s)
Published version
Author(s)
Shipman, Alastair
Dezecache, Guillaume
Majumdar, Arnab
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.
Date Issued
2023-02
Date Acceptance
2022-12-15
Citation
International Journal of Disaster Risk Reduction, 2023, 86, pp.1-10
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/).
(http://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
https://www.sciencedirect.com/science/article/pii/S221242092200721X?via%3Dihub
Publication Status
Published
Article Number
103502
Date Publish Online
2022-12-23