U-Shaped Pattern of Employees’ Job Satisfaction: Polynomial Model Approach
Year: 2014
Type: article
Abstract: Employee productivity, organizational citizenship, employee loyalty, efficiency etc. totally depend on job satisfaction. Job satisfaction is an important indicator of how employees adjust about their jobs. The purpose of this study is to fit some mathematical models to percentages of employees' job satisfaction (PEJS) for men, women and both sexes. For this, the secondary data are used. Quasi Newton Method is employed to fit these mathematical models using the software STATISTICA. Moreover, t-test, F-test and cross validity prediction power (CVPP) are used to check the accuracy as well as validation of the model. In this study, it is seen that these PEJS for men, women and both sexes are showing U-shaped pattern in accordance with age. It is also found that PEJS is increasing with age after age 30 years. And it is seen that the PEJS for women is comparatively higher than that of men at every age group. Furthermore, it is found that PEJS for men, women and both sexes follow second degree polynomial models. These models are well fitted in accordance with t-test, F-test and CVPP. The stabilities of these models are more than 96.9%.
Language: English
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W424587965