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A Structural Equation Model of Nurses¡¯ Turnover Intention

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KMID : 0614820090150040550
±èâÈñ ( Kim Chang-Hee ) - ÇýÀü´ëÇÐ °£È£°ú

¾ç½Â¼ø ( Yang Seung-Sun ) - ¼øõÇâ´ëÇб³º´¿ø
±è¿¬ÀÚ ( Kim Yeon-Ja ) - ¼øõÇâ´ëÇб³ õ¾Èº´¿ø
¼Õ¿¬Á¤ ( Son Youn-Jung ) - ¼øõÇâ´ëÇб³ °£È£Çаú
À¯¹Ì¾Ö ( You Mi-Ae ) - ¿¬¼¼´ëÇб³ °£È£´ëÇÐ
¼ÛÁÖÀº ( Song Ju-Eun ) - ´Ü±¹´ëÇб³ °£È£Çаú

Abstract

Purpose: The purpose of this study was to construct and test a structural equation model of nurses¡¯ turnover intention.

Method: The participants were 716 nurses at 4 university hospitals. Data were collected by a self-report questionnaire in 2008 and analyzed using SPSS 12.0 and AMOS 4.0 Win program.

Results: The fit indices of modified model were ¥ö2=285.928(p<.001), ¥ö2/df=1.958, GFI=0.964, RMSEA=0.037, AGFI=0.944, NFI=0.947, NNFI=0.961, CFI=0.973, PNFI=0.658 and showed high compatibility with the empirical data. In the final model, job stress and satisfaction were found to have significant direct effects on nurses¡¯ turnover intention, while organizational culture and emotional labor were very important factors to have indirect effects on turnover intention via job stress and satisfaction. Nurses¡¯ turnover intention was accounted for 41.2% of covariance by these factors.

Conclusions: Comprehensive nursing interventions for decreasing nurses¡¯ turnover intention should be focused on reducing job stress and increasing job satisfaction. Also, Nursing strategy for enhancing positive organizational culture and decreasing emotional labor would be helpful for decreasing nurses¡¯ turnover intention, too. Further studies are needed to prospectively conduct to verify these causal relationships with larger sample.
KeyWords
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Nurse, Turnover intention, Structural equation model
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