Sangsook Han; Ohsook Kim; Yunsu Joo; Eunduck Choi; Jeongwon Han

doi:10.4040/jkan.2013.43.5.605

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Original Article
Effects of Nurses' Mentoring on Turnover Intention: Focused on the Mediating Effects Role Stress and Burnout: Sangsook Han, Ohsook Kim, Yunsu Joo, Eunduck Choi, Jeongwon Han; Journal of Korean Academy of Nursing 2013;43(5):605-612.
DOI: https://doi.org/10.4040/jkan.2013.43.5.605
Published online: October 31, 2013

¹College of Nursing Science, East-West Nursing Research Institute, Kyung Hee University, Seoul, Korea.

²College of Nursing Science, Kyung Hee University, Seoul, Korea.

Address reprint requests to: Han, Jeongwon. College of Nursing Science, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul 130-701, Korea. Tel: +10-4448-4475, Fax: +82-2-961-9398, hjw0721@naver.com

• Received: March 11, 2013 • Accepted: July 9, 2013

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Abstract
REFERENCES

Abstract

Purpose
The purpose of this study was to investigate the casual relationship between nurses' mentoring and turnover intention and to verify the goodness of fit between a hypothetical model and actual data in order to suggest an adequate model.
Methods
The survey was conducted with 434 nurses working in general hospitals in Seoul. Data were collected during February 2013, and analyzed with SPSS Windows 18.0 and AMOS 7.0.
Results
Mentoring was found to have a direct effect on decrease in role stress. Role stress had a direct effect on increase in burnout and mentoring, with role stress as a mediator, there was an indirect effect on burnout. Burnout had a direct effect on increase in turnover intention, and role stress, with burnout as a mediator, and mentoring, through role stress and burnout, an indirect effect was found on increase in turnover intention.
Conclusion
The results of this study indicate that nursing managers should put effort into reducing role stress and burnout, while seeking to establish a more efficient mentoring system so that for nurses, there will be a lowering of turnover intention.
Keywords: Mentoring; Stress; Burnout; Turnover

REFERENCES

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Figure 1

Path diagram of the model.

Table 1

Correlations and Discriminant Validity of the Model

^*p<.001; The shaded section: discriminant validity; The non shaded section: correlation; CCR=Composite construct reliability; AVE=Average variance extracted.

Table 2

The Result of Path Coefficient

β=Standardized regression weights; B=Regression weights; SE=Standardized error; CR=Critical ratio.

Table 3

Fit Statistics for the Measurement Model

GFI=Goodness of fit index; AGFI=Adjusted goodness of fit index; NFI=Normed fit index; CFI=Comparative fit index; RMR=Root mean residual; RMSEA=Root mean squared error of approximation.

Table 4

Effects of Predictor Variables in the Model

SMC=Squared multiple correlation.

Figure & Data

REFERENCES

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Effects of Nurses' Mentoring on Turnover Intention: Focused on the Mediating Effects Role Stress and Burnout

J Korean Acad Nurs. 2013;43(5):605-612. Published online October 31, 2013

DOI: https://doi.org/10.4040/jkan.2013.43.5.605

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Effects of Nurses' Mentoring on Turnover Intention: Focused on the Mediating Effects Role Stress and Burnout

Figure 1 Path diagram of the model.

Figure 1

Effects of Nurses' Mentoring on Turnover Intention: Focused on the Mediating Effects Role Stress and Burnout

Table 1

Correlations and Discriminant Validity of the Model

^*p<.001; The shaded section: discriminant validity; The non shaded section: correlation; CCR=Composite construct reliability; AVE=Average variance extracted.

Table 2

The Result of Path Coefficient

β=Standardized regression weights; B=Regression weights; SE=Standardized error; CR=Critical ratio.

Table 3

Fit Statistics for the Measurement Model

GFI=Goodness of fit index; AGFI=Adjusted goodness of fit index; NFI=Normed fit index; CFI=Comparative fit index; RMR=Root mean residual; RMSEA=Root mean squared error of approximation.

Table 4

Effects of Predictor Variables in the Model

SMC=Squared multiple correlation.

Table 1 Correlations and Discriminant Validity of the Model

^*p<.001; The shaded section: discriminant validity; The non shaded section: correlation; CCR=Composite construct reliability; AVE=Average variance extracted.

Table 2 The Result of Path Coefficient

β=Standardized regression weights; B=Regression weights; SE=Standardized error; CR=Critical ratio.

Table 3 Fit Statistics for the Measurement Model

GFI=Goodness of fit index; AGFI=Adjusted goodness of fit index; NFI=Normed fit index; CFI=Comparative fit index; RMR=Root mean residual; RMSEA=Root mean squared error of approximation.