INFLUENCES ON MANAGERIAL PAY ALLOCATIONS: A DEPENDENCY PERSPECTIVE

This paper reviews evidence and presents arguments for the view that managerial pay allocations are influenced by the degree of dependence on subordinates and by threats to that dependence. In assessing this view, the issues of managerial discretion in pay allocation and pay as a means of managing dependencies are explored. Major sources of objective and subjective dependence on subordinates are identified. Predictions are made regarding managerial pay allocations under various conditions of dependence and dependency threat. Finally, research and practical implications of the dependency perspective are discussed.     

VOLUNTARY AFFIRMATIVE ACTION AND PREFERENTIAL TREATMENT: LEGAL AND RESEARCH IMPLICATIONS

This paper provides a review of recent Supreme Court decisions stemming from the implementation of voluntary AAPs that include preferential treatment as a remedy; the evidence and proof required to establish and defend against reverse discrimination claims is identified. Overall, the courts sanctioned the use of preferential treatment if it occured as part of a well-conceived AAP. However, differences were found in the manner in which the courts adjudicated Title VII and constitutional claims of preferential treatment. The discussion examines research on the potential effects of voluntary AAPs on important organizational and societal outcome variables. We conclude that the impact of AAPs is likely to be far-reaching, exerting an effect possibly well beyond the limits considered in court decisions.     

ON THE NEED FOR QUALITY CONTROL IN VALIDATION RESEARCH

The aptitude tests used to help make personnel decisions about military recruits were validated against hands-on tests of job performance in two Marine Corps occupational specialties, radio repairers and automotive mechanics. The tests were administered by Marine Corps noncommissioned officers. Marine Corps units provided the test administrators, testing facilities, and examinees. Data collected under such conditions are filled with errors that reduce the accuracy of validity coefficients. This paper shows how validity coefficients can be made more accurate by exercising quality control during the statistical analysis.