| Title: |
Driven To Lead: Gendered Differences in Leadership Competencies Among NCAA Athletes. |
| Authors: |
Jolly, Karina; Simms, Jake; Corr, Chris; Stokowski, Sarah; Paule-Koba, Amanda |
| Source: |
Journal of Intercollegiate Sport; 2026, Vol. 19 Issue 1, p160-182, 23p |
| Subject Terms: |
Gender differences (Sociology); Women athletes; Participant observation; College athletes; Title IX of the Education Amendments of 1972; Leadership |
| Company/Entity: |
National Collegiate Athletic Association |
| Abstract: |
Intercollegiate athletics offers a valuable environment for college athletes' leadership development, yet gender disparities remain in leadership roles. While women's participation in college sports has grown significantly since the passing of Title IX, women still hold only 25% of NCAA leadership positions (e.g. athletic directors, commissioners and representatives of the NCAA). Using Leadership Identity Developmental Model (LID) this study explored leadership competencies among NCAA men and women athletes, focusing on key differences and their implications. A total of 232 athletes (61.7% women, 38.3% men) from all divisions completed surveys using the Leadership Learning Agility Scale (LLAS) and the Student Leadership Behavior Scale (SLBS). Results showed women athletes scored significantly higher in six of nine leadership competencies than their men counterparts. These findings underscore the need for gender-specific leadership programming designed to build confidence and prepare women athletes to pursue and succeed in future leadership roles within and beyond the athletic context. Tailored initiatives can help athletic departments promote more inclusive leadership development. Future research should examine the long-term and use qualitative research methods to explore the impacts of such targeted efforts. [ABSTRACT FROM AUTHOR] |
| : |
Copyright of Journal of Intercollegiate Sport is the property of Journal of Intercollegiate Sport and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |