Published online Mar 31, 2010.
https://doi.org/10.11111/jkana.2010.16.1.17
The Effect of Emotional Intelligence on Self-efficacy and Job Stress of Nurses - Mediating Role of Self-efficacy -
Abstract
Purpose
This study was to investigate the relationship among emotional intelligence, self-efficacy and job stress of nurses.
Method
Data was collected from convenient sample of 265 nurses who work for a university hospital in a city. The Questionnaire measured the level of emotional intelligence, self-efficacy and job stress of nurses. The data were analyzed using descriptive statistics, t-test, ANOVA, scheffe' test, pearson's correlation coefficient and hierarchical multiple regression.
Result
The mean score of emotional intelligence was 3.41(±.37), self-efficacy was 3.27(±.45) and job stress was 3.35(±.65). There were significant differences on self-efficacy according to age, marital status and education level. And there were significant differences on job stress according to age, working unit. It was a significant positive correlation between emotional intelligence and self-efficacy. The emotional intelligence and self-efficacy were significantly negative correlation with job stress. The emotional intelligence explained 24.8% of self-efficacy and 1.9% of job stress and self-efficacy explained 2.7% of job stress. And the self-efficacy was showed a mediate variable between emotional intelligence and job stress.
Conclusion
To decrease job stress, nursing managers ought to develop the emotional intelligence and self-efficacy of nurses, reinforce as a mediating role between emotional intelligence and job stress.
Table 1
General characteristic of the subjects (N=265)
Table 2
Emotional intelligence, self-efficacy, and job stress of the subjects (N=265)
Table 3
Emotional intelligence, self-efficacy, and job stress of the subjects according to General characteristics (N=265)
Table 4
Correlations of Emotional intelligence, self-efficacy, and job stress (N=265)
Table 5
Hierarchical regression analysis on job stress
This paper was supported by Ulsan College research funds in 2009.
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