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

Bibliographic Data

ID22025448
AuthorsAlastair Shipman (0000-0002-3130-028X, Imperial College London, corresponding author), Guillaume Dezecache (0000-0002-9366-6287, Centre National de la Recherche Scientifique), Arnab Majumdar (0000-0002-6332-7858, Imperial College London)
Year2023
Volume86
Pages103502
Publication date2023-02-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2022.103502
OpenAlexW4312158855
LanguageEN
Citations received1
References cited32

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

Cognitive psychology · Data collection · Recall · Statistics · Survey data collection · Applied Psychology · Behavioral Health and Interventions · Computer Science · Evacuation and Crowd Dynamics · Psychology · Social and Intergroup Psychology · Social Psychology

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