The Moderation Effect of Athletic Maturity on the Association between Perceived Leadership Behavior and Athlete Satisfaction
Bibliographic record
Abstract
Perceived leadership behavior and athlete satisfaction are integral constructs in the multidimensional leadership model. The aim of the present study was to examine the moderation effect of athletic maturity on the association between perceived leadership behavior and athlete satisfaction in synchronized swimming athletes. The sample was comprehensive, as it included all 165 Greek synchronized swimming athletes participating in national championships and elite athletes from the national teams participating in international events. Athletic maturity was classified according to the athletes’ category into comen, junior and senior. Athlete satisfaction was measured with Athletes Satisfaction Scale and perceived leadership behavior was assessed with the Leadership Scale for Sports-Perceived edition. The questionnaires were completed at the end of the competitive season at the athletes’ training grounds. Results showed that the strength of association between perceived leadership behavior and athlete satisfaction is significantly greater in the senior category as compared to the comen and junior categories. This association proves to be stronger for the dimension of satisfaction with leadership that is adequately explained by the factors of social support and training and instruction. The findings provide support to the notion that athletic maturity is a moderator of the effect of perceived leadership behavior on athlete satisfaction.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".