Statistical analysis by michael cummins Essay Example | Topics and Well Written Essays - 1000 words

Statistical analysis by michael cummins - Essay Example ested whether there are significant differences among the overall job satisfaction of three departments, namely, Human Resources, Information Technology, and Administration. The results demonstrate that there is no significant difference among the three categories (F=1.74, p>.05). This means that they have more or less equal levels of overall job satisfaction. When tested by position, the results indicate that there is a significant difference between the two groups of full-timers and part-timers, with part-timers yielding a higher overall satisfaction level (t=2.34, p.05). This means that the three groups have more or less equal levels of overall job satisfaction. Gender. The results for gender that indicate no significant difference between the two gender groups are not supported by literature. The review of literature suggests that men are more satisfied at the workplace than women, mainly because of unequal treatment in the workplace. However, with work conditions being equal, women tend to be more satisfied at work than their male colleagues (www.coe.iup.edu). Age. A review of the relevant literature shows that most of the age-job satisfaction studies have concluded that there is some association between employee age and job satisfaction. Gibson and Klein (1970) have demonstrated an increase in satisfaction with age over all tenure levels in their sample. They discussed the age-satisfaction relationship in terms of changing needs, a mellowing process, and dynamic cognitive structures related to age. Siassi et al. (1975) presented higher levels of job satisfaction in workers over 40 than in those under 40, regardless of the