간호행정학회지 (Journal of Korean Academy of Nursing Administration)

  • 제23권1호
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  • Pages.101-110
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  • 2017
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  • 1225-9330(pISSN)
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  • 2288-4955(eISSN)
한국간호행정학회 (Korean Academy of Nursing Administration)
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간호행정학회지 게재논문의 연구동향 분석(2013~2015년): 텍스트 네트워크 분석의 적용

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

  • 이태화 (연세대학교 간호대학.김모임간호학연구소) ;
  • 박광옥 (순천대학교 간호학과) ;
  • 서문경애 (고려대학교 간호대학) ;
  • 김미영 (이화여자대학교 간호대학) ;
  • 황지인 (경희대학교 간호과학대학) ;
  • 유소영 (차의과학대학교 간호대학) ;
  • 정석희 (전북대학교 간호대학.간호과학연구소) ;
  • 정민 (제주한라대학교 간호학부) ;
  • 문미경 (경북대학교 간호대학.간호과학연구소)
  • Lee, Tae Wha (College of Nursing, Mo-Im Kim Nursing Research Institute, Yonsei University) ;
  • Park, Kwang-Ok (Department of Nursing, Sunchon National University) ;
  • Seomun, GyeongAe (College of Nursing, Korea University) ;
  • Kim, Miyoung (College of Nursing, Ewah Womans University) ;
  • Hwang, Jee-In (College of Nursing Science, Kyung Hee University) ;
  • Yu, Soyoung (College of Nursing, CHA University) ;
  • Jeong, Seok Hee (College of Nursing, Research Institute of Nursing Science, Chonbuk National University) ;
  • Jung, Min (School of Nursing, Cheju Halla University) ;
  • Moon, Mikyung (College of Nursing, The Research Institute of Nursing, Kyungpook National University)
  • 투고 : 2016.12.31
  • 심사 : 2017.01.17
  • 발행 : 2017.01.31
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초록

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.

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참고문헌

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