Disentangling the Effects of Self Leader Perceptions and Ideal Leader Prototypes on Leader Judgments Using Loglinear Modeling With Latent Variables

Abstract

This study clarifies the relationships among self leader perceptions, ideal leader prototypes, and leader judgments among college students using latent profile analysis (LPA) and log-linear modeling. LPA was used to identify subgroups of individuals with unique patterns of attributes for self and ideal leaders, providing a holistic view of leadership and how multiple attributes work together within individuals. LPA was also used to identify subgroups of individuals with unique patterns of judgments of leader effectiveness. After identification of subgroups (i.e., profiles), log-linear modeling was used to test 1 baseline model and 5 sets of hypothesized associations among self leader profiles, ideal leader profiles, and leader judgment profiles. Results suggest that self leader profiles are related to ideal leader profiles, which in turn are related to leader judgment profiles, but that there is no direct relation between self leader profiles and leader judgment profiles.