Abstract

Using a sample of females employed in nonindustrial settings, a model of work satisfaction was proposed and tested using nonlinear iterative partial least squares (PLS). Included in the final model were three demographic variables (age, hierarchical level, and education); two organizational variables (routinization and size); and two economic variables (objective and perceptual measures of opportunity). Positive relationships were observed between age and work satisfaction and hierarchical level and work satisfaction. An inverse relationship between education and work satisfaction was detected also. Both of the organizational variables were negatively correlated with work attitudes. Objective measures of opportunity (e.g., the unemployment rate) were negatively related to perceived opportunity, and perceived opportunity was inversely related to work satisfaction. The model explained almost 33% of the variance in job satisfaction, although the objective measures of opportunity accounted for less than 2% of...

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