Structural Equation Modeling of Nurses’ Turnover Intention Based on Affective Events Theory
10.11111/jkana.2021.27.5.399
- Author:
Eun Ha CHOI
1
;
Eun Gyung KIM
Author Information
1. Central Supply Team Leader, Department of Nursing, Chungbuk National University Hospital, Korea
- Publication Type:ORIGINAL ARTICLE
- From:Journal of Korean Academy of Nursing Administration
2021;27(5):399-409
- CountryRepublic of Korea
- Language:English
-
Abstract:
Purpose:This study aimed to construct and test a hypothetical model of turnover intention for clinical nurses based on affective events theory.
Methods:Data were collected from 375 clinical nurses working in an advanced general hospital. The exogenous variable of the hypothetical model was emotional labor, and the endogenous variables were negative emotional events, emotional intelligence, positive affect, organizational commitment, and turnover intention. Data were analyzed using the SPSS/WIN 23.0, and AMOS 22.0.
Results:The final modified model demonstrated a good fit. This model explained 70.6% of the variance in the turnover intention of clinical nurses. The statistically significant explanatory factors for turnover intention were emotional labor, negative emotional events and organizational commitment. As for the significant pathway affecting nurses’ turnover intention, emotional labor showed a decreasing effect on turnover intention and was mediated by emotional intelligence, positive affect, and organizational commitment (B=-.33, p=.002). Emotional labor showed a decreasing effect on turnover intention through organizational commitment (B=-.40, p=.006).
Conclusion:Various opportunities for education and multiple-approach institutional support must be provided to nurses to increase their vocation about the profession, emotional intelligence, positive affect, and organizational commitment.
