. The Development of the Job Satisfaction Scale for Hospital Staff in Taiwan
International Journal of Management, Economics and Social Sciences
2016, Vol. 5(1), pp. 1 – 13.
ISSN 2304 – 1366


The Development of the Job Satisfaction Scale for Hospital Staff in Taiwan


Yii-Ching Lee1
Wei-Che Hsu2
Hsin-Hung Wu3
Wan-Lin Hsieh4
Shao-Jen Weng4
Chih-Hsuan Huang2

1School of Health Policy and Management, Chung Shan Medical University, Taichung, Taiwan
2Dept. of Business Administration, Tunghai University, Taichung, Taiwan
3Dept. of Business Administration, National Changhua University of Education, Changhua, Taiwan
4Dept. of Industrial Engineering and Enterprise Information, Tunghai University, Taichung, Taiwan



The current study attempts to construct a valid and applicable job satisfaction scale for measuring the contentment level of hospital staff in Taiwan. The job description inventory (JDI) and Job Satisfaction Index (JSI) were adopted as the foundation of the job satisfaction measure for hospital staff in a selected hospital. To verify and validate the scale, data collected in 2012 and 2013, were analyzed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), respectively. Subsequently, Pearson correlations analysis was used to examine the strength and direction of the relationships between job satisfaction dimensions. Overall, the job satisfaction scale developed in this research illustrated valid and accurate measure for assessing hospital staffs' satisfaction. Both EFA and CFA results demonstrated that items consistently emerged six dimensions i.e. work environment, work achievement, compensation and benefits, education and training, promotion and evaluation, and management system. The findings also highlight that management support, work achievement, and promotion and evaluation are three critical factors that significantly contribute to high levels of job satisfaction for hospital staff.

Keywords: Job satisfaction scale, health organizations, Exploratory Factor Analysis, Confirmatory Factor Analysis, Pearson Correlations Analysis
JEL: D23, C38, I11