The purpose of the researcher was to investigate job satisfaction for employees of a utility company which has facilities in 33 northwest Kansas counties. The sample consisted of 96 employees. The following independent variables were investigated: age, gender, income, formal education, and job security. The dependent variables were scores from the following scales of the Job Satisfaction Survey: Pay, Promotion, Supervision, Benefits, Contingent Rewards, Operating Procedures, Co-Workers, Nature of Work, Communication, and Total Satisfaction. Five composite null hypotheses were tested using a three-way analysis of variance (general linear model). A total of 180 comparisons were made plus 150 recurring. Of the 180, 50 were for main effects and 130 were for interactions. Of the 50 main effects, 18 were statistically significant at the .05 level. The results of the present study appeared to support the following generalization: 1. Individuals with income of $40,001 and greater have greater job satisfaction than those with less income, 2. Males have greater job satisfaction for the variable Nature of Work than females, 3. Males have greater Total Satisfaction than females, 4. Individuals with high job security have greater job satisfaction for the variable Promotion than those with low job security, 5. Individuals with high job security have greater Total Satisfaction than those of low job security, and 6. Statistically significant interactions for 17 comparisons.