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.

Citations

• Future Outlook of Nursing Management Research: Analysis of Articles Published in the Journal of Korean Academy of Nursing Administration from 2012-2021
  Eungyung Kim, Sung-Hyun Cho, Jihyun Kim, Jong Kyung Kim, Eunhee Lee
  Journal of Korean Academy of Nursing Administration.2023; 29(5): 553.     CrossRef
• Nurses’ Experience and Satisfaction as Research Participants in Nursing Research - A View of Protecting Vulnerable Populations: A Cross-sectional Descriptive Study
  Go-Eun Lee, Sanghee Kim
  Korean Journal of Adult Nursing.2022; 34(6): 565.     CrossRef
• Research trends in Korean Journal of Health Education and Promotion from 1984 to 2021
  Nan-He Yoon, Young-Bok Kim, Hyunjong Song, Jieun Lee, Jung Eun Choi
  Korean Journal of Health Education and Promotion.2022; 39(5): 127.     CrossRef
• Using Text Network Analysis for Analyzing Academic Papers in Nursing
  Chan Sook Park
  Perspectives in Nursing Science.2019; 16(1): 12.     CrossRef
• Verification of air brush effectiveness using cosmeceutical ingredients
  Hyun Jung Kim, Min Sook Jung, Jeong Min Shin, Yu Kyung Hur
  Biomedical Dermatology.2018;[Epub]     CrossRef
• Analysis of Theory-applied Research in the Journal of Korean Academy of Nursing Administration (2007~2016)
  Hyunju Ji, Soyun Hong, Yi-Rang Jeong, Kyung Hee Lee
  Journal of Korean Academy of Nursing Administration.2018; 24(2): 130.     CrossRef
• Analysis of Qualitative Research Published in the Journal of Korean Academy of Nursing Administration (First publication to the end of 2016)
  Kwang-Ok Park, Soyoung Yu, Eunhee Lee, Jee-In Hwang, Miyoung Kim
  Journal of Korean Academy of Nursing Administration.2017; 23(4): 427.     CrossRef