A Transformational Coaching Workshop for Changing Youth Sport Coaches’ Behaviors: A Pilot Intervention Study
Bibliographic record
Abstract
To maximize the effectiveness of coach development, educational programs should target coaches’ interpersonal behaviors, be informed by behavior-change techniques, and incorporate comprehensive evaluation procedures. Thus, informed by the full-range leadership model (see Bass and Riggio in 2006) and the Behaviour Change Wheel (see Michie et al. in 2011), Turnnidge and Côté in 2017 developed the Transformational Coaching Workshop (TCW). The purpose of this study was to evaluate the TCW’s effectiveness through observation before and after coaches’ workshop participation. Participants included 8 male head coaches of youth soccer teams. Systematic observation and coding using the Coach Leadership Assessment System were employed pre- and postworkshop to examine coaches’ leadership behaviors. Coaches made improvements in the types of leadership behaviors used and how they were conveyed. This study demonstrates that systematic observation can be implemented to explore real-world changes in behaviors. Future research should examine the impact of the TCW on athlete outcomes.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".