A formulation and test of a multivariate predictive model of professional job satisfaction

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Virginia Tech

This study represents an attempt to develop a multivariate predictive model of professional job satisfaction. The model consists of socio-demographic work related, role conflict and bureaucratic variables. Multiple correlation and regression techniques are used in the data analysis. The sample consists of 308 professional fisheries biologists who were members of the American Fisheries Society in 1974.

The predictive model tested in this study was comprised of 14 independent variables related to social and demographic characteristics, role conflict and bureaucratic characteristics.

The results of this Study show that age, income, education, length of service and residence have a negligible impact on job satisfaction, Person-role conflict, intra-sender conflict, inter-sender conflict, and role overload comprise role conflict. These variables jointly explain 18 percent of variance in job satisfaction.

A multidimensional measure of perceptions of bureaucracy including technical qualifications, procedures, division of labor, hierarchy, and impersonality jointly explain 26 percent of the variance in job satisfaction.