J Korean Acad Nurs.  2011 Oct;41(5):633-641. 10.4040/jkan.2011.41.5.633.

A Predictive Model on Turnover Intention of Nurses in Korea

Affiliations
  • 1College of Nursing Science, Kyung Hee University, Seoul, Korea.
  • 2College of Nursing Science, East-West Nursing Research Institute, Kyung Hee University, Seoul, Korea. sshan12@khu.ac.kr

Abstract

PURPOSE
The purpose of this study was to propose and test a predictive model that could explain and predict Korean nurses' turnover intentions.
METHODS
A survey using a structured questionnaire was conducted with 445 nurses in Korea. Six instruments were used in this model. The data were analyzed using SPSS 15.0 and Amos 7.0 program.
RESULTS
Based on the constructed model, organizational commitment, and burnout were found to have a significant direct effect on turnover intention of nurses. In addition, factors such as empowerment, job satisfaction, and organizational commitment were found to indirectly affect turnover intention of nurse. The final modified model yielded chi2=402.30, p<.001), chi2/df=2.94, RMSEA=0.07, RMR=0.03, GFI=0.90, AGF=0.87, NFI=0.88, CFI=0.92 and good fit indices.
CONCLUSION
This structural equational model is a comprehensive theoretical model that explains the related factors and their relationship with turnover intention in Korean nurses. Findings from this study can be used to design appropriate strategies to further decrease the nurses' turnover intention in Korea.

Keyword

Nurse; Turnover intention

MeSH Terms

Adult
Burnout, Professional
Female
Humans
Job Satisfaction
Male
*Models, Theoretical
*Nursing Staff, Hospital/psychology/statistics & numerical data
Personnel Turnover/*statistics & numerical data
Power (Psychology)
Questionnaires
Stress, Psychological

Figure

  • Figure 1 Hypothetical model.

  • Figure 2 Path diagram of the model. *p<.05; **p<.01. Em=Empowerment; St=Stress; Oc=Organizational commitment; Bo=Burnout; Js=Job satisfaction; To=Turnover intention; Tv=Turnover intention variable.


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