Validation of the Response to Stressful Experiences Scale (RSES)

Johnson, Don C.; Polusny, Melissa A.; Erbes, Christopher R.; King, Daniel B.; King, Lynda A.; Litz, Brett T.

doi:10.1037/e717552011-004

Cited by 6 publications

(6 citation statements)

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“…The results of the study showed that there were significant negative correlations between disaster resilience and PTSD, stress, depression, and burnout. The findings are consistent with other studies that explored the relationship between individual resilience and psychological well-being among disaster rescue workers (Johnson et al 2011;Bensimon 2012;Zerach et al 2013;De La Rosa et al 2016;Scuri et al 2019). The results supported the view that individuals who are resilient are better able to overcome stressful conditions in life (Masten 2001), and this may reduce the possibility that these healthcare rescue workers suffer from negative psychological consequences.…”

Section: Discussionsupporting

confidence: 92%

Establishment of the Psychometric Properties of a Disaster Resilience Measuring Tool for Healthcare Rescuers in China: A Cross-Sectional Study

Mao

Chen

et al. 2021

Int J Disaster Risk Sci

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The aim of this study was to test the validity and reliability of a tool for measuring the disaster resilience of healthcare disaster rescuers. A cross-sectional study involving 936 healthcare disaster rescuers of the Sichuan Disaster Response Team was conducted to establish the psychometric properties of the disaster resilience measuring tool (DRMT). Item analysis, exploratory factor analysis, confirmatory factor analysis, and correlation analysis were adopted to analyze the data. Item analysis showed that all but three items had the critical ratio over 3, which indicates adequate discriminability for inclusion in the measuring tool. The exploratory factor analysis showed that 65.93% of the total variance was explained by four factors—self-efficacy, social support, positive growth, and altruism. The confirmatory factor analysis showed goodness of fit for the four-factor model: CMIN/DF (2.846), GFI (0.916 ≥ 0.90), CFI (0.949 ≥ 0.90), AGFI (0.891 ≥ 0.80), and RMSEA (0.063 ≤ 0.08). Criterion validity demonstrated significant associations of the DRMT and the Connor-Davidson Resilience Scale (P < 0.01, r = 0.566). Convergent validity was established by correlation with stress (P < 0.05, r = − 0.095), depression (P < 0.01, r = − 0.127), posttraumatic stress disorder-PCL-C (P < 0.05, r = − 0.100), compassion satisfaction (P < 0.01, r = 0.536), and burnout (P < 0.01, r = − 0.330). The DRMT demonstrated adequate internal consistency (Cronbach’s alpha > 0.84) and stability over the two-week study period (intraclass correlation coefficient > 0.85), and a cut-off point of 61 was suggested. The disaster resilience measuring tool has satisfactory psychometric properties and is a valid, reliable, and valuable instrument for assessing disaster resilience in healthcare rescue workers. The scale needs to be tested further among other populations and those from other cultures.

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Section: Discussionsupporting

confidence: 92%

Establishment of the Psychometric Properties of a Disaster Resilience Measuring Tool for Healthcare Rescuers in China: A Cross-Sectional Study

Mao

Chen

et al. 2021

Int J Disaster Risk Sci

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“…The questionnaires included the SRTS Questionnaire that was developed by the researchers specifically about SRTS, asking participants about their demographic information, tablet computer use, and perceptions of specific aspects of SRTS. There was also a second questionnaire developed by Johnson, et al (2008) called the Response to Stressful Experiences Scale (RSES), which research has demonstrated to be a brief, reliable, and valid measure of individual differences in cognitive, emotional, and behavioral responses to stressful events (Johnson et al, 2011).…”

Section: Methodsmentioning

confidence: 99%

Using Iterative Design and Testing Towards the Development of SRTS®

Smith

Woo

Parker

et al. 2013

Proceedings of the Human Factors and Ergonomics Society Annual

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The Stress Resilience Training System (SRTS ®) is a new game-based learning application for tablets that trains users to better control stress through interactive education and advanced biofeedback. The goal of using the application is to allow users to better manage the positive and negative effects of stress. The application is targeted at young soldiers who may be more technologically-and game-motivated. An initial usability study with SRTS was conducted to determine its effectiveness and ease of use. A unique application of the link analysis method combined with retrospective probing revealed that users were following coach recommendations, but skipped vital information necessary to play the games. Results further showed that users with high subjective resilience were likely to find the application useful. Link analysis can help analyze exploratory learning behavior and relevant external comparison measures can inform future use of a product.

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“…Researchers have developed various tests to measure resilience; among them are the Connor-Davidson Resilience Scale (Connor & Davidson, 2003) and the Response to Stressful Experiences Scale (Johnson et al, 2008).…”

Section: Defining Resiliencementioning

confidence: 99%

Resilience

Southwick¹,

Charney²

2018

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Validation of the Response to Stressful Experiences Scale (RSES)

Cited by 6 publications

References 0 publications

Establishment of the Psychometric Properties of a Disaster Resilience Measuring Tool for Healthcare Rescuers in China: A Cross-Sectional Study

Establishment of the Psychometric Properties of a Disaster Resilience Measuring Tool for Healthcare Rescuers in China: A Cross-Sectional Study

Using Iterative Design and Testing Towards the Development of SRTS®

Resilience

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