title: [A predictive model on turnover intention of nurses in Korea].
abstract: OBJECTIVE
  The purpose of this study was to propose and test a predictive model that could explain and predict Korean nurses' turnover intentions.
  
  
  METHODS
  A survey using a structured questionnaire was conducted with 445 nurses in Korea. Six instruments were used in this model. The data were analyzed using SPSS 15.0 and Amos 7.0 program.
  
  
  RESULTS
  Based on the constructed model, organizational commitment, and burnout were found to have a significant direct effect on turnover intention of nurses. In addition, factors such as empowerment, job satisfaction, and organizational commitment were found to indirectly affect turnover intention of nurse. The final modified model yielded χ²=402.30, p<.001), χ²/df=2.94, RMSEA=0.07, RMR=0.03, GFI=0.90, AGF=0.87, NFI=0.88, CFI=0.92 and good fit indices.
  
  
  CONCLUSIONS
  This structural equational model is a comprehensive theoretical model that explains the related factors and their relationship with turnover intention in Korean nurses. Findings from this study can be used to design appropriate strategies to further decrease the nurses' turnover intention in Korea.
authors.affiliation: College of Nursing Science, Kyung Hee University, Seoul, Korea.
authors.forename: Sook Ja
authors.initials: SJ
authors.lastname: Moon
authors.forename: Sang Sook
authors.initials: SS
authors.lastname: Han
mesh_terms: D000328:Adult; D002055:Burnout, Professional; D005260:Female; D006801:Humans; D007588:Job Satisfaction; D008297:Male; D008962:Models, Theoretical; D009741:Nursing Staff, Hospital / Q000523:psychology / Q000706:statistics & numerical data; D010563:Personnel Turnover / Q000706:statistics & numerical data*; D011209:Power, Psychological; D013315:Stress, Psychological; D011795:Surveys and Questionnaires