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Kim, Kim, Lim, Lee, Park, and Lee: Structural Equation Modeling on Nursing Productivity of Nurses in Korea
Original Article
Journal of Korean Academy of Nursing

Journal of Korean Academy of Nursing 2013; 43(1): 20-29.

Published online: 28 February 2013

DOI: https://doi.org/10.4040/jkan.2013.43.1.20

Structural Equation Modeling on Nursing Productivity of Nurses in Korea

Se Young Kim1, Eun-Kyung Kim2, Heon Man Lim3, Mi Young Lee4, Kwang-Ok Park5, Kyoung A Lee6

1College of Nursing, Eulji University, Daejeon, Korea.

2Department of Nursing, Chungbuk National University, Cheongju, Korea.

3Appenzeller School of Public Administration, Paichai University, Daejeon, Korea.

4Nursing Department, Eulji University Hospital, Daejeon, Korea.

5Department of Nursing, Sunchon National University, College of Life Science and Natural Resources, Sunchon, Korea.

6The Research Institute of Nursing Science, Seoul National University, Seoul, Korea.

Address reprint requests to: Kim, Eun-Kyung. Department of Nursing, Chungbuk National University, 52 Naesudong-ro, Heungduk-gu, Cheongju Chungbuk 361-763, Korea. Tel: +82-43-249-1730, Fax: +82-43-249-1711, kyung11@chungbuk.ac.kr

Received 20 April 2012       Accepted 18 September 2012

© 2013 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 nursing productivity.

Methods

A survey using a structured questionnaire was conducted with 360 nurses in Korea. The data were analyzed using SPSS Windows 18.0 and AMOS 19.0 program.

Results

Based on the constructed model, burnout and organizational commitment were found to have direct effects on nurses' turnover intention and nursing productivity. While nursing work environment was found to have indirect effects on nurses' turnover intention and nursing productivity.

Conclusion

This structural equational model is a comprehensive theoretical model that explains the related factors and their relationship with nursing productivity. Comprehensive organizational interventions to improve nursing productivity should focus on improving the nursing work environment. Findings from this study can be used to design appropriate strategies to decrease nurse turnover in Korea. Further studies are needed to prospectively verify these causal relationships with larger samples.

Keywords: Efficiency organizational, Personnel turnover, Environment

Figures and Tables

Figure 1
Hypothetical model with parameter estimates for nursing productivity
jkan-43-20-g001
Figure 2
Path diagram of the model.
jkan-43-20-g002
Table 1
Pearson Coefficient Correlation for Measured Variables (N=360)
jkan-43-20-i001

*Correlation is significant at the 0.05 level (2-tailed); **Correlation is significant at the 0.01 level (2-tailed).

Table 2
Parameter Estimates and SMC of Modified Structural Model (N=360)
jkan-43-20-i002

CR=Critical ratio; SMC=Squared multiple correlation.

Table 3
Effect of Predictor Variables in the Modified Model (N=360)
jkan-43-20-i003

SMC=Squared multiple correlation.

*p<.05; **p<.01.

Notes

This study was supported by Eulji University in 2010 (EJRG-10-002-11E36).

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