Peaks and Valleys: Predicting interests in leadership and managerial positions from personality profiles

This study investigates the relationship between personality and leadership and managerial interests at different levels of the vocational interest taxonomy. Personality scale scores from four different inventories were used to predict vocational interests of 574 adults. Influencing/enterprising interests, leadership and supervisory interests, and job-specific managerial interests (e.g., CEO, Media Executive, Human Resources Director) served as criterion measures. A multiple regression-based pattern recognition procedure recently devised by Davison and Davenport was applied to identify configurations of personality scores relating to these interest criteria. The personality profile pattern predictive of influencing and leadership interests was stable across different managerial domains. Results indicate that personality profile patterns drive the predictive power of personality scores, and that they explain a larger proportion of the variance in influencing and leadership interests compared with individuals' absolute trait levels.