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Examining factor structure of Maslach Burnout Inventory among nurses in Taiwan
Huan-Fang Lee1, Tsair-Wei Chien, Miaofen Yen
1Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan City, Taiwan.
Aim:
To investigate the factorial structure of a Chinese version of the MBI-HSS for nurses in Taiwan. BACKGROUND Previous studies have presented different factorial structures using the Maslach burnout inventory-human services survey (MBI-HSS).
Methods:
Secondary data analysis was implemented to explore the factor structure of MBI-HSS using exploratory factor analysis. Confirmatory factor analysis was then performed to verify the modified structure for nurses in Taiwan.
Results:
The EFA found that three factors explaining 57% of the variance were extracted, and 20 of the 22 items were retained. The goodness-of-fit test was performed using the CFA approach, and it was verified that the modified version of MBI-HSS is a suitable instrument for measuring burnout for nurses in Taiwan.
Conclusions:
A nationwide sample confirmed the factorial structure of MBI-HSS for nurses in Taiwan with a three-dimension, 20-item assessment, and the variance was not diminished in this sample.
Implications For Nursing Management:
These findings demonstrate that the modified version of MBI-HSS provides a suitable instrument for measuring burnout for nurses in Taiwan. Therefore, the modified version of MBI-HSS can be used to compare burnout of nurses across cultures, providing valuable information for policies or preventions in the future.
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