Statistical analysis on job satisfaction of academic staff at college of natural science in jimma university, Ethiopia: A cross-sectional study

Abstract

Job satisfaction is an attitude that is the outcome of balancing and summarizing of numerous individual likes and dislikes that an employee experiences while performing his or her job. People's wants and requirements are always changing and rising in modern society; when these needs are not met, people get unhappy. The purpose of this study was to assess the level of job satisfaction among academic staff members at Jimma University College of Natural Science. A crosssectional study design was used in this research. The subjects who were involved in the study were 280 academic staff members in College of Natural Science. The study used both descriptive and inferential statistics method of data analysis, which means from descriptive statistics frequency table, cross tab, and from inferential statistics chi-square test of association and Ordinary Logistic Regression have been used. Most of the academic staff members are moderately satisfied with their job, P-value=0.000 indicates there is enough evidence to reject the null hypothesis at α=5% level of significance. Then there is a association between employees, ages and job satisfaction and P-value=0.000 indicates there is relationship between the level of job satisfaction and relationship of employees who work in college of Natural science. Mean level of job satisfaction of the employees depends on the relationships of academic staff members. Age, relationship with workers, work environment, education level, and monthly salary shows relationship with the level of job satisfaction. Academic staff members are not very satisfied with their job due to monthly salary, employment, scarcity of time, and educational level.