A Study of the Impact of Factor Importance Weightings on Job Satisfaction Measures

This study empirically tests Locke's theory that the importance of a job satisfaction factor to an individual is already reflected in the individual's responses to the specific questions, Responses from a job satisfaction survey carried out by a large Canadian company were analyzed using a second generation causal modeling technique, Partial Least Squares. The results supported Locke's theory in that weighting the responses with the individual's importance factors did not improve the variance explained in the job satisfaction model. Further analysis indicated that there were differences between groups with high job satisfaction and groups with low satisfaction, differences in job satisfaction for different levels of service length, and that the differences in job satisfaction across gender were not large.

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