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The COVIDiSTRESS global survey collects data on early human responses to the 2020 COVID-19 pandemic from 173 429 respondents in 48 countries. The open science study was co-designed by an international consortium of researchers to investigate how psychological responses differ across countries and cultures, and how this has impacted behaviour, coping and trust in government efforts to slow the spread of the virus. Starting in March 2020, COVIDiSTRESS leveraged the convenience of unpaid online recruitment to generate public data. The objective of the present analysis is to understand relationships between psychological responses in the early months of global coronavirus restrictions and help understand how different government measures succeed or fail in changing public behaviour. There were variations between and within countries. Although Western Europeans registered as more concerned over COVID-19, more stressed, and having slightly more trust in the governments' efforts, there was no clear geographical pattern in compliance with behavioural measures. Detailed plots illustrating between-countries differences are provided. Using both traditional and Bayesian analyses, we found that individuals who worried about getting sick worked harder to protect themselves and others. However, concern about the coronavirus itself did not account for all of the variances in experienced stress during the early months of COVID-19 restrictions. More alarmingly, such stress was associated with less compliance. Further, those most concerned over the coronavirus trusted in government measures primarily where policies were strict. While concern over a disease is a source of mental distress, other factors including strictness of protective measures, social support and personal lockdown conditions must also be taken into consideration to fully appreciate the psychological impact of COVID-19 and to understand why some people fail to follow behavioural guidelines intended to protect themselves and others from infection. The Stage 1 manuscript associated with this submission received in-principle acceptance (IPA) on 18 May 2020. Following IPA, the accepted Stage 1 version of the manuscript was preregistered on the Open Science Framework at https://osf.io/g2t3b. This preregistration was performed prior to data analysis.
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http://dx.doi.org/10.1098/rsos.200589 | DOI Listing |
Assessment
August 2025
Computational Communication Collaboratory, School of Journalism and Communication, Nanjing University, Nanjing, People's Republic of China.
The Brief Resilience Scale (BRS) is widely used for assessing resilience. However, evaluations of the BRS's measurement invariance across different countries are scarce. This study examines the psychometric properties of the BRS across 21 countries, using a sample of 10,259 participants from the COVIDiSTRESS II Global Survey dataset.
View Article and Find Full Text PDFStat Med
July 2025
Department of Biostatistics, University of North Carolina Gillings School of Public Health, Chapel Hill, North Carolina, USA.
Factor analysis provides an intuitive approach for dimension reduction when working with big data, allowing researchers to represent an extensive number of correlated variables via a subset of underlying latent factors. Traditional methods of factor analysis, such as Structural Equation Modeling (SEM) and factor regression, lack properties desirable for analyzing big data, such as the ability to handle high-dimensionality or the ability to enforce sparsity on the estimates of the factor loading matrices. These methods also assume that the number of latent constructs is known beforehand, a problem unique to factor analysis that often goes unaddressed or overlooked, with ad hoc methods being the most common ways to deal with such a fundamental question.
View Article and Find Full Text PDFAssessment
October 2025
University of Luxembourg, Esch-sur-Alzette, Luxembourg.
The 24-item Social Provision Scale is among the most frequently used self-report scales to assess perceived social support. A shortened 10-item version (SPS-10) with promising psychometric properties has been proposed. However, so far only a few studies in specific cultural contexts investigated its psychometric properties.
View Article and Find Full Text PDFInt J Clin Health Psychol
August 2023
Adam Mickiewicz University, Faculty of Psychology and Cognitive Sciences, Poznań, Poland.
Background/objective: Research suggests that the COVID-19 pandemic has increased social isolation and loneliness and that, in general, single individuals experience a higher degree of loneliness than coupled individuals. Loneliness may also vary across cultures as a function of social norms and Hofstede's dimensions of national culture. Therefore, the aim of the present study was to examine whether the link between relationship status and loneliness in the context of the COVID-19 pandemic differed across countries as a function of cultural values captured in terms of Hofstede's six dimensions of national culture.
View Article and Find Full Text PDFBMC Psychol
April 2023
Department of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, Bangladesh.
Objectives: To explore relationship among perceived stress regarding loneliness, interpersonal trust and institutional trust of expatriates during the early COVID-19 period (from 30 March to 30 May 2020).
Methods: Data from 21,439 expatriates were extracted from COVIDiSTRESS global survey. The outcome variable was perceived stress.