Effects of coach extraversion and educational environment on transformational leadership and athlete outcomes: A moderated mediation model
Bibliographic record
Abstract
The importance of coach leadership to athlete development and performance has been identified in the literature. We respond to the call to investigate antecedents of coach transformational leadership and their indirect effects on athlete outcomes. We propose that coach extraversion as an antecedent of coach transformational leadership can indirectly impact follower cohesion and satisfaction. Building on this mediation model, we assert that educational environment (i.e., high school and university) may serve as a first-stage moderator between coach extraversion and transformational leadership. We used 48 coaches and their 570 athletes from competitive high school and university basketball teams to test this moderated mediation model. Our results indicate that coach extraversion indirectly impacts athlete cohesion and satisfaction via transformational leadership. Moreover, the indirect effects of coach extraversion on athlete outcomes via coach transformational leadership is conditionally significant only when coaches and athletes are in universities but not in high schools. Our findings highlight the importance of educational environment in determining the association between coach personality and leadership perception. Implications for research and practice are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".