Ang WHD, Lau Y. Trait emotional intelligence as a predictor of resilience among undergraduate nursing students: A structural equation modelling approach.
NURSE EDUCATION TODAY 2024;
136:106132. [PMID:
38395026 DOI:
10.1016/j.nedt.2024.106132]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/19/2024] [Accepted: 02/14/2024] [Indexed: 02/25/2024]
Abstract
BACKGROUND
There is a growing interest in understanding the role of trait emotional intelligence and resilience. However, few studies have examined the relationships between the various factors of trait emotional intelligence and resilience.
OBJECTIVE
To examine the factors of trait emotional intelligence and resilience using a structure equation modelling approach.
DESIGN
A quantitative exploratory design using structural equation modelling approach.
SETTING
One university in Singapore.
PARTICIPANTS
A total of 300 undergraduate nursing students were included in this study.
METHOD
A quantitative exploratory study using the structural equation modelling technique was conducted. The Trait Emotional Intelligence Questionnaire and Brief Resilience Scale were used to examine the relationships between trait emotional intelligence and resilience. The data analyses were conducted using SPSS and AMOS software.
RESULTS
The structural equation model found relationships between the various factors of trait emotional intelligence. There were associations between self-control, sociability, and emotionality scores with well-being scores. In addition, there is a relationship between emotionality and well-being scores on resilience scores.
CONCLUSIONS
The findings from this study illustrate the complex relationships between the various factors of trait emotional intelligence, and specifically how these factors are related to each other and resilience. The findings of this study propose that emotional intelligence are associated with one's resilience. For this reason, these findings will be important in the development of future resilience programs.
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