MULTIPLE PREDICTORS OF POST-TRANSFER SATISFACTION: THE ROLE OF URBAN FACTORS

Multiple correlation analysis and means tests were used to test the effectiveness of fifteen psychological, economic and other variables in explaining the variance in post job transfer satisfaction among a sample of managers.
Of the variables to emerge as significant predictors of satisfaction in both of two subsamples, preference for location of residence predominated. Multiple Classification Analysis (MCA) was then employed to explore which of sixteen urban factors was most important in determining location preference among the managers and their spouses. The MCA analysis showed that size of the city ranked as the major predictor of location preference among both the managers and their spouses.