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Moon and Han: A Predictive Model on Turnover Intention of Nurses in Korea
Original Article
Journal of Korean Academy of Nursing

Journal of Korean Academy of Nursing 2011; 41(5): 633-641.

Published online: 31 October 2011

DOI: https://doi.org/10.4040/jkan.2011.41.5.633

A Predictive Model on Turnover Intention of Nurses in Korea

Sook Ja Moon1, Sang Sook Han2

1Doctoral Students, College of Nursing Science, Kyung Hee University, Seoul, Korea.

2Professor, College of Nursing Science · East-West Nursing Research Institute, Kyung Hee University, Seoul, Korea.

Address reprint requests to: Han, Sang Sook. College of Nursing Science/East-West Nursing Research Institute, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul 130-701, Korea. Tel: +82-2-961-9427, Fax: +82-2-961-9398, sshan12@khu.ac.kr

Received 5 October 2010       Accepted 24 October 2011

© 2011 Korean Society of Nursing Science

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 χ2=402.30, p<.001), χ2/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.

Keywords: Nurse, Turnover intention

Figures and Tables

Figure 1
Hypothetical model.
jkan-41-633-g001
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.
jkan-41-633-g002
Table 1
Result of the Fit Statistics of the Measurement Model
jkan-41-633-i001

RMSEA=Root mean square error of approximation; RMRS=Root mean residual square; GFI=Goodness of fit index; AGFI=Adjusted Goodness-of-fit Index; NFI=Normed fit index; CFI=Goodness of fit index; FL=Factor loading; SRC=Standardized residual covariance.

Table 2
The Discriminant Validity of the Model
jkan-41-633-i002

The shaded section; Average variance extracted. The non-shaded section; Correlation.

Table 3
Effects of Predictor Variables in the Modified Model
jkan-41-633-i003

SMC=Squared multiple correlation.

Notes

This article is a revision of the first auther's Doctoral thesis from Kyung Hee University.

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