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Factor structure and psychometric evaluation of the Connor-Davidson resilience scale in a new employee population of China

Overview of attention for article published in BMC Psychiatry, February 2017
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Title
Factor structure and psychometric evaluation of the Connor-Davidson resilience scale in a new employee population of China
Published in
BMC Psychiatry, February 2017
DOI 10.1186/s12888-017-1219-0
Pubmed ID
Authors

Lei Wu, Yan Tan, Yan Liu

Abstract

In order to find a suitable instrument to evaluate psychological resilience in Chinese new employee population, we intended to propose a possible factorial structure of Connor-Davidson Resilience Scale (CD-RISC). Furthermore, we administered to explore its reliability and validity in the present population. Participants were derived from the male new employees who had started working in the last 2-3 months from 12 machinery factories across 8 different provinces of China. Chinese version of CD-RISC was used to assess the resilience of the study participants. Exploratory factor analysis (EFA) was conducted to assess the possible factor structure, and confirmatory factor analysis (CFA) was used to determine which factor structure was the most suitable among the present study sample. The present 4-factor model (tolerance for stress, tenacity, and goal orientation; adaptability and acceptance of change; optimism and sense of security; and trust in one's instinct) of CD-RISC showed good internal consistency, concurrent validity and consistent structure validity, and had presented better data fit than the original 5-factor and the Chinese 3-factor patterns. Each of the present 4-factor structure and the total score of CD-RISC were negatively and significantly associated with Global Severity Index T score and Personality Diagnostic Questionnaire-4+ score. The measure of resilience is useful in screening high-risk employees who are vulnerable to stress. Optimal and tailored interventions can be further applied to avoid potential adverse events in this population. Longitudinal research should be required to determine whether aging and long-term health events can change the nature of resilience.

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Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 130 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 15%
Student > Bachelor 13 10%
Student > Ph. D. Student 12 9%
Researcher 9 7%
Student > Doctoral Student 8 6%
Other 20 15%
Unknown 49 38%
Readers by discipline Count As %
Psychology 28 22%
Business, Management and Accounting 12 9%
Nursing and Health Professions 10 8%
Medicine and Dentistry 6 5%
Social Sciences 4 3%
Other 13 10%
Unknown 57 44%