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Original Article
Structural Equation Modeling of Quality of Work Life in Clinical Nurses based on the Culture-Work-Health Model
Miji Kim, Eunjung Ryu
Journal of Korean Academy of Nursing 2015;45(6):879-889.
DOI: https://doi.org/10.4040/jkan.2015.45.6.879
Published online: December 31, 2015

1Department of Nursing, Kyungbok University, Pocheon, Korea.

2Department of Nursing, Chung-Ang University, Seoul, Korea.

Address reprint requests to: Ryu, Eunjung. Department of Nursing, Graduate School, Chung-Ang University, 84 Heuksuk-ro, Dongjak-gu, Seoul 06974, Korea. Tel: +82-2-820-5681 Fax: +82-2-824-7961, go2ryu@cau.ac.kr
• Received: June 18, 2015   • Revised: June 24, 2015   • Accepted: September 8, 2015

© 2015 Korean Society of Nursing Science

This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

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  • Purpose
    The purpose of this study was to construct and test a structural equation model of quality of work life for clinical nurses based on Peterson and Wilson's Culture-Work-Health model (CWHM).
  • Methods
    A structured questionnaire was completed by 523 clinical nurses to analyze the relationships between concepts of CWHM-organizational culture, social support, employee health, organizational health, and quality of work life. Among these conceptual variables of CWHM, employee health was measured by perceived health status, and organizational health was measured by presenteeism. SPSS21.0 and AMOS 21.0 programs were used to analyze the efficiency of the hypothesized model and calculate the direct and indirect effects of factors affecting quality of work life among clinical nurses.
  • Results
    The goodness-of-fit statistics of the final modified hypothetical model are as follows: χ2=586.03, χ2/df=4.19, GFI=.89, AGFI=.85, CFI=.91, TLI=.90, NFI=.89, and RMSEA=.08. The results revealed that organizational culture, social support, organizational health, and employee health accounted for 69% of clinical nurses' quality of work life.
  • Conclusion
    The major findings of this study indicate that it is essential to create a positive organizational culture and provide adequate organizational support to maintain a balance between the health of clinical nurses and the organization. Further repeated and expanded studies are needed to explore the multidimensional aspects of clinical nurses' quality of work life in Korea, including various factors, such as work environment, work stress, and burnout.
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Figure 1

Conceptual framework based on Culture-Work-Health Model.

jkan-45-879-g001.jpg
Figure 2

Path diagram of modified Culture-Work-Health Model.

jkan-45-879-g002.jpg
Table 1

Descriptive Statistics of Observed Variables (N =523)

jkan-45-879-i001.jpg
Table 2

Model Fit of the Modified Model

jkan-45-879-i002.jpg

RMSEA=Root mean square error of approximation residual; GFI=Goodness-of-fit index; AGFI=Adjusted goodness-of-fit; TLI=Tucker-Lewis index; CFI=Comparative fit index; NFI=Normed fit index.

Table 3

Effect of Predictor Variables in the Modified Model

jkan-45-879-i003.jpg

SMC=Squared Multiple Correlation.

Figure & Data

REFERENCES

    Citations

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    Structural Equation Modeling of Quality of Work Life in Clinical Nurses based on the Culture-Work-Health Model
    Image Image
    Figure 1 Conceptual framework based on Culture-Work-Health Model.
    Figure 2 Path diagram of modified Culture-Work-Health Model.
    Structural Equation Modeling of Quality of Work Life in Clinical Nurses based on the Culture-Work-Health Model

    Descriptive Statistics of Observed Variables (N =523)

    Model Fit of the Modified Model

    RMSEA=Root mean square error of approximation residual; GFI=Goodness-of-fit index; AGFI=Adjusted goodness-of-fit; TLI=Tucker-Lewis index; CFI=Comparative fit index; NFI=Normed fit index.

    Effect of Predictor Variables in the Modified Model

    SMC=Squared Multiple Correlation.

    Table 1 Descriptive Statistics of Observed Variables (N =523)

    Table 2 Model Fit of the Modified Model

    RMSEA=Root mean square error of approximation residual; GFI=Goodness-of-fit index; AGFI=Adjusted goodness-of-fit; TLI=Tucker-Lewis index; CFI=Comparative fit index; NFI=Normed fit index.

    Table 3 Effect of Predictor Variables in the Modified Model

    SMC=Squared Multiple Correlation.


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