Female job satisfaction and job roles in nonprofit organization

The current quantitative correlational study used statistical analysis to determine if any significant relationship existed between the predictor variables (stereotypical job roles) and the criterion variables (perception of job satisfaction). Job satisfaction was scored by the Job Satisfaction Survey (JSS) and stereotypical job roles determined through responses related to job title and job position. These were used to segregate job roles into nontraditional versus traditional using Eagly and Karau's (2002) agentic and communal characteristics. A random sample of 112 employees was selected from the target population of 146 female employees. Three different hypotheses were tested as part of the study involving multivariate statistical analysis and 9-point biserial correlations. Findings from the 9-point biserial correlations revealed no significant relationship between job satisfaction and stereotypical job roles. Results from the Pearson correlations showed significant positive correlations between the job satisfaction subscales and fringe benefits and with pay as well. Results from the Spearman correlation showed no significant correlation between the job satisfaction subscales and income. Seven multiple linear regressions were conducted to assess if compensation (fringe benefits and pay) predicted the other subscales of satisfaction after controlling for education, experience, and age. Results of the 7 regressions showed fringe benefits and pay predicted the job satisfaction subscales. However, fringe benefits uniquely predicted 6 out of the 9 job satisfaction subscales. Pay was a unique predictor of promotion, supervision, contingent reward, nature of work, and coworkers.