Web-based Assessment of Job Satisfaction in Hospital Employees
Author Information
Author(s): Chien Tsair-Wei, Lai Wen-Pin, Lu Chih-Wei, Wang Weng-Chung, Chen Shih-Chung, Wang Hsien-Yi, Su Shih-Bin
Primary Institution: Chi-Mei Medical Center
Hypothesis
Can a CAT be used via a website to facilitate more efficient response collection for the self-evaluation of job satisfaction by workers?
Conclusion
The Web-CAT was shown to be more efficient than traditional assessments at collecting data regarding workers' perceptions of job content.
Supporting Evidence
- Workers aged 26 - 35 felt that job satisfaction was significantly worse in 2009 than in 2008.
- Person-separation reliability for the 2008 surveys was 0.88.
- Of the 37 items on the questionnaire, 24 items fit the model fairly well.
Takeaway
This study created a web tool to help hospital workers quickly share how happy they are with their jobs, making it easier to understand their feelings.
Methodology
The study used a 37-item Job Content Questionnaire (JCQ-37) and analyzed data from 300 randomly selected hospital employees using a Rasch rating scale model.
Limitations
The study did not demonstrate the efficiency and precision of CAT compared to non-adaptive assessments.
Participant Demographics
The average age of participants was 34 years, with 79% being female and a mix of job titles including nurses and administrators.
Statistical Information
P-Value
<0.0001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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