| The purpose of the quantitative correlational study was to examine the relative influence of individual demographics (gender, age, tenure, supervisory status, location, and intent to leave) on job dissatisfaction (DV) with facets of employment (leadership and knowledge management, result orientation and performance, talent management, and job dissatisfaction index) in the Internal Revenue Service, and the Social Security Administration (n = 2,203). The study used demographic profiling as a way to look beyond the effect of independent variables on dependent variables, to create a picture of groups and organizations by like categories and characteristics. The hierarchical regression analysis shows that supervisory status, and intent to leave significantly contribute to dissatisfaction with each facet of employment, in both agencies. For the SSA and IRS, non-supervisors expressed the most dissatisfaction with facets of employment. In each agency, those indicating an intent to leave expressed more dissatisfaction with facets of employment. The study is significant to leadership as it confirms the role of demographics in understanding the factors contributing to job dissatisfaction. |
