Examining Factor Structure of Maslach Burnout Inventory Among Nurses in Taiwan

Monday, 31 October 2011

Huan-Fang Lee, RN
Institute of Allied Health Sciences/ Department of Nursing, National Cheng Kung University/Chi Mei Medical Center, Yung Kung, Taiwan
Miaofen Yen, PhD, RN
Department of Nursing & Institute of Allied Health Sciences, National Cheng Kung University, Tainan city, Taiwan

Learning Objective 1: The learner will be able to understand how to process the factorial analysis.

Learning Objective 2: The learner will be able to understand the structure of Maslach Burnout Inventory- Human Services Survey among nurses in Taiwan.

Purpose: 

The Maslach Burnout Inventory-Human Services Survey is the most widely used instrument by researchers to measure burnout. However, different factorial structures of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS) have been presented in various cultures. The purpose of this study was to investigate the factor structure of a Mandarin version of the Maslach Burnout inventory among Taiwanese nurses. 

Methods:   

This was a cross-sectional study. The data was obtained from an ongoing study, NURSE-outcomes study. Total of 1,896 nurses were randomly assigned to two sub-groups for exploratory and confirmatory factor analysis. The Mandarin version of MBI-HSS was revised for nursing professionals. Item analysis was used to examine an appropriate measurement scale in the current study and included item difficulty and item discrimination. The exploratory factor analysis was executed on the first half of the sample to explore the factor structure from the data. Confirmatory factor analysis was performed on the second half of the sample to confirm the modified structure among Taiwan nurses. 

Results: 

All items were distributed normally. The correlations of item-total and item-subscale were all significant (p < .001). Theoretical structure by Maslach (1982) was not appropriate among Taiwanese nurses (χ2 = 3997, p < .05, df= 206, GFI = 0.8, AGFI = 0.76, RMSEA = 1). The results of exploratory factor analysis showed a three-factor structure with 20 appropriate items, which explained 57% of the variance. Goodness-of-fit test for the modified model of MBI-HSS revealed acceptable (GFI = .92, AGFI = .90, RMSEA = .05) from confirmatory factor analysis. 

Conclusion: 

A nationwide sample confirmed the factorial structure of MBI-HSS among Taiwan nurses with a three-dimension, 20-item. The explained variance was not diminished. The modified version of MBI-HSS was a suitable instrument for measuring burnout among nurses in Taiwan. Further analysis on predict validity may be needed.