Job Satisfaction Has Become an Research Paper

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The time frame was from one month February 1st to February 29th. Single-item questions were used while basing the question in terms of "how satisfied are you with your job?" Three response scales were used: normal, very satisfied, not at all satisfied. The framed question was to measure the independent variables, job satisfaction, based on level of job satisfaction from the time they have spent in their work place, (Scott Smith, 2013).

Several aspects of the work were considered, it covered areas like the workload, conditions of working (noise, heat, light), length of working time, confidence between managers as well as rank -- and file workers, organizational working time, competence of management, wages and rewards, training and requalification, opportunity for promotion, social care benefit, job security, and relationship with direct superior.


Single-item question were used such as: How satisfied overall are you with your job? The expected answers are very satisfied, normal and not at all satisfied. There will be as well multi-facet questions, for example how satisfied are you with? How your expert skills are used; how hard the work is; how interesting your work is; interpersonal relationship within the workplace; the physical environment of the workplace and its facilities; how work is organized within the work place; your pay; your superior; the prospects of a pay rise; job security; the prospect of promotion; or how your office takes care of its employees. The three-point response scale is used: very satisfied, normal, or not at all satisfied.


The survey involved employees of different organization within the city, a total number of 4901 employees were to be covered. The young the middle age and the old were involved. Whether male or female they were categorized as one and their records were to show that they had worked for at least three months before the time of the interview. Selection of the sample was random and proportion to the size of the employees as they were interacted with either at work or at their home. Missing cases were deleted from the data and all variables were recorded to two values to produce contingency tables for the statistical analysis.


A total number of 664 employees were interviewed, where the survey showed that the high school level employees: very satisfied 54.2%, (284 employees); normal 58.5%, (349 employees); Not at all satisfied 77.5%, (31employees). As compared to high school level employees, the percentage of college level employees regarding job satisfaction is low. The interviewed employees with the college level, lesser percentage were at all not satisfied as compared to those who were satisfied and those who considered it normal. Higher percentage considered dependant variable normal according to the feedback. Among the 342 interviewed workers, 29.4% were satisfied, (154 employees); 30.2% felt it as normal, (180 employees); and 20% were not at all satisfied, (8 workers). As compared to high school and college level employees, the percentages of the graduate are lower.

Majority of the graduates tend to be more satisfied with the job that they do. This is because among the 155 interviewed employees, those who were very satisfied with their job were 86 employees representing 16.4%, those who felt it normal were 64 employees representing 11.4%, and those who not at all satisfied was 1 employee representing 2.5%.The percentages are lower therefore, generally job satisfaction in this level is concentrated on satisfaction point-of-view. There is a significance indication of the chi-square statistical analysis where 0 cells (0.0%) expecting count less than 5, and the minimum expected count is 5.34.based on the realized discrepancy

The level of job satisfaction in the independent variable, age, involved the young, the middle age, and the old. Out of the 248 young who were interviewed 16.3% were very satisfied (85 respondents), 25.1% felt it was normal (149 respondents), and 35.0% were not at all satisfied (14 respondents). The percentage average was 21.6%. Those who were not at all satisfied are more compared to those who were very satisfied and felt it as normal. Among the middle age group that were interviewed were779 employees. Those who were very satisfied were 253 (67.6%); those who felt job satisfaction was normal were 401 employees, (67.5%), while the ones who were not at all satisfied were 25 employees, (62.5%).

This adds to an average percentage of 67.4 meaning that the satisfaction level of the middle age was very high compared to the young. The job satisfaction levels of the old among the 129 interviewed were, 84 very satisfied (16.1%), 44 normal (7.4%), and 1 not at all satisfied (2.5%) averaging to 11.2%. Here almost none of the old is satisfied, though there average satisfaction is low. The chi-square statistical analysis has been reported in terms of significance where 1 cells (11.1%) expecting count less than 5. while the minimum expected count is 4.46.This is in terms of the existing discrepancy.

The survey based on the independent variable, income, involved the low income, the middle class and the rich. Among 1161 interviewed, 166 were young (representing 14.3%), 70 were very satisfied (13.4%), 87 felt it normal (14.6%), 9 were not at all satisfied (22.5%). Satisfaction level of the low income respondents is very low. Those who were interviewed in the middle class were 154 respondents. Out of this 55 were very satisfied (10.5%), 86 felt it was normal (14.4%), while 13 were not at all satisfied (32.5%) and the average percentage for these was 13.5. This still shows that the satisfaction level is low even as compared to the average percentage of the low income respondents. On the other hand there was higher level of satisfaction among the rich.

Those who were interviewed were 841, out of this 399 were very satisfied (76.1%), and those who felt it normal were 424 (71.0%) while those who were not at all satisfied were 18 (45.0%). The average percentage is 72.4. Majority of the rich respondents were very satisfied. The chi-square statistical analysis has been reported in terms of significance where 0 cells (0.0%) expecting count less than 5. while the minimum expected count is correcting the existing discrepancy.


Due to the fact that in terms of income, degree of education and age are the three major factors that affect job satisfaction, employers and organizations are supposed to realize this to avoid frequent transfer of jobs by employees that lowers the end up lowering their production level and loosing potential expertise. They should connect the factors where ranks in the work place should be increases depending on how an employee has furthered his/her studies, moreover the income/salary can be increased for them to feel more satisfied. Conducive work environment at the workplace where despite the age, each employee feels a necessary part of the organization helps boost the morale of employees thus higher job satisfaction (Namrata Ekka, 2013).

The first hypothesis present danger that employers have ones they have employees who have higher degree of education. The result indicates a significant decline in percentage in terms of the job satisfaction level. More respondents at high school are averagely satisfied as the ladder climbs higher the satisfaction level decline. The employers have to be very keen and work closely with those who are pursuing higher education to know what dissatisfy them and what satisfy them the most.

The higher percentage of satisfaction on the respondents in the second hypothesis where the middle age have more higher percentage as compared to the old and the young, indicate a comfort zone for middle age since they still undergo major responsibilities in one way or the other, whether indirect or direct, they are left with no choice but to stay where they are for their betterment.

The prediction of the third hypothesis presents that as income of respondent increases so is the satisfaction level. The result showing that majority of the rich are averagely more satisfied is evidenced with the highest percentage of 72.4%. The rich tend to be in that rich position because of that job that they landed on. They can as well find the correct job with favorable environment as they desire, therefore they are in their job because they want to so they are satisfied with it. The independent variable, income, therefore seems to be of more influence to the job satisfaction as compared to other independent variable factors, age and education. In the event of study, several errors were recorded that deter accuracy of the finding. Some were not able to accept that they were not working so they ended up giving wrong information. Some employees were not co operative thus shying away from discussing about their employers.


Are you satisfied with your job, is a question that should not be taken lightly by organization because by asking these question and identifying how their employee feels, they will be in a pposition to rectify places that makes their employees become unsatisfied…[continue]

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