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Analysis of Research Articles Published in the Journal of Korean Academy of Nursing Administration for 3 Years (2013~2015): The Application of Text Network Analysis

Tae Wha Lee1, Kwang-Ok Park2, GyeongAe Seomun3, Miyoung Kim4, Jee-In Hwang5, Soyoung Yu6, Seok Hee Jeong7, Min Jung8, Mikyung Moon9
Journal of Korean Academy of Nursing Administration 2017;23(1):101-110.
Published online: January 31, 2017

1College of Nursing, Mo-Im Kim Nursing Research Institute, Yonsei University, Korea.

2Department of Nursing, Sunchon National University, Korea.

3College of Nursing, Korea University, Korea.

4College of Nursing, Ewah Womans University, Korea.

5College of Nursing Science, Kyung Hee University, Korea.

6College of Nursing, CHA University, Korea.

7College of Nursing, Research Institute of Nursing Science, Chonbuk National University, Korea.

8School of Nursing, Cheju Halla University, Korea.

9College of Nursing, The Research Institute of Nursing, Kyungpook National University, Korea.

Corresponding author: Moon, Mikyung. College of Nursing, Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu 41944, Korea. Tel: +82-53-200-4793, Fax: +82-53-421-2758, mkmoon@knu.ac.kr
• Received: December 31, 2016   • Revised: January 17, 2017   • Accepted: January 17, 2017

Copyright © 2017 Korean Academy of Nursing Administration

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Purpose
    This study aimed to identify research trends in the Journal of Korean Academy of Nursing Administration from 2013 to 2015.
  • Methods
    For this study, 171 articles were analyzed. Research designs, participants, research settings, sampling, and data analyses methods were reviewed using established analysis criteria. Keyword centrality and clusters were generated by keyword network analysis.
  • Results
    Most of studies used quantitative methods (82.5%), and sampling mainly focused on nurses (68.8%). The most commonly used data analyses methods were t-test, ANOVA, correlation, and regression. The most central keywords were turnover and empowerment. Network analysis generated four network groups: 1) burnout; 2) turnover; 3) happiness; and 4) nursing professionalism.
  • Conclusion
    The results of this study identify current trends and interests in Korean nursing administration research. The findings from this study suggest that future studies include a variety of research methods and maintain appropriate research ethics.
  • Key Words: Nursing research; Research analysis; Keywords; Text network analysis

This manuscript was supported by Korean Academy of Nursing Administration.

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Figure 1

Cluster map.

jkana-23-101-g001.jpg
Table 1

Characteristics of Published Articles

jkana-23-101-i001.jpg

*Multiple choice.

Table 2

Data Analysis Method for the Published Articles* (N=683)

jkana-23-101-i002.jpg

*Multiple choice.

Table 3

Key Words Analysis (N=679)

jkana-23-101-i003.jpg
Table 4

Degree Centrality and between Centrality of Keywords

jkana-23-101-i004.jpg

Figure & Data

References

    Citations

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    Analysis of Research Articles Published in the Journal of Korean Academy of Nursing Administration for 3 Years (2013~2015): The Application of Text Network Analysis
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    DOI: https://doi.org/10.11111/jkana.2017.23.1.101
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    Analysis of Research Articles Published in the Journal of Korean Academy of Nursing Administration for 3 Years (2013~2015): The Application of Text Network Analysis
    J Korean Acad Nurs Adm. 2017;23(1):101-110.   Published online January 31, 2017
    DOI: https://doi.org/10.11111/jkana.2017.23.1.101
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    Analysis of Research Articles Published in the Journal of Korean Academy of Nursing Administration for 3 Years (2013~2015): The Application of Text Network Analysis
    Image
    Figure 1 Cluster map.

    Figure 1

    Analysis of Research Articles Published in the Journal of Korean Academy of Nursing Administration for 3 Years (2013~2015): The Application of Text Network Analysis

    Characteristics of Published Articles

    *Multiple choice.

    Data Analysis Method for the Published Articles* (N=683)

    *Multiple choice.

    Key Words Analysis (N=679)

    Degree Centrality and between Centrality of Keywords
    Table 1 Characteristics of Published Articles

    *Multiple choice.

    Table 2 Data Analysis Method for the Published Articles* (N=683)

    *Multiple choice.

    Table 3 Key Words Analysis (N=679)

    Table 4 Degree Centrality and between Centrality of Keywords

    Table 1

    Table 2

    Table 3

    Table 4

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