A descriptive multiple regression approach was used to assess the job satisfaction of female and male public school superintendents taking part in a decennial survey conducted by AASA. Self-reported job satisfaction of public school superintendents was regressed on their affective reactions to specific job facets (supervision, co-workers, and compensation) and to contextual variables (type of school district, legislative mandates, and funding sources) purported to influence their job satisfaction. Results indicate that female and male superintendents were found to be similarly satisfied with their current job assignment but for different reasons as revealed by interaction terms addressed in the regression analyses
