J Korean Acad Nurs Adm.  2021 Dec;27(5):399-409. 10.11111/jkana.2021.27.5.399.

Structural Equation Modeling of Nurses’ Turnover Intention Based on Affective Events Theory

• Choi EH
• Kim EG

• KMID: 2526022
• DOI: http://doi.org/10.11111/jkana.2021.27.5.399

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.

Keyword

Personal turnover; Nurses; Emotional intelligence; Affect