Bayesian Analysis on Predictors of Employee Satisfaction at Debre Markos University: A Cross Sectional Study Design
- Yenesew Fentahun Gebrie1, Tadesse Mihretie2
- 1Department of Statistics, Debre Markos University, Debre Markos, Ethiopia, 2Department of Applied Nutrition, Injibara University, Injibara, Ethiopia
Background: Human resource is
considered as the most important resource to affect job performance in
organizations. Hence, the effectiveness and efficiency of any organization
cannot be achieved without effective management of its human resource. The aim
of this study was to assess the
satisfaction level and identify the significant predictors of employee
satisfaction at Debre Markos University staff.
Methods: Institutional based cross-sectional
study was conducted among 560 academic and administrative staff working in
Debre Markos University. Data was collected using self-administered structured
questionnaires. Bayesian logistic regression analysis was employed on Gibbs
sampler algorithm.
Results: The
overall level of job satisfaction was 36% and most (67.1%) of the employee were
male and about 22.7% of them were satisfied. About, 60.9% of academic staff,
23.9% were satisfied and 37% were dissatisfied. Moreover, about 33.6% of the
total respondents were administrative staff and 10.4% of them were satisfied.
Conclusion: The overall job satisfaction level was low and most of employees were male and master’s holders. Among the job satisfaction related factors, salary, relationship, work environment, work itself, responsibility, promotion significantly influences the job satisfaction of workers since the 95% credible interval of these variables does not include zero (at least one category).