The multicollinearity between youth sport environment questionnaire and team assessment diagnostic measurement in sport settings
Bibliographic record
Abstract
With interdisciplinary effort, shared mental model from organizational psychology has been introduced in recent years. Even though the concept of shared mental model is established in sport psychology, it still has an operational problem. That is, different researchers have used different measures. The purpose of this research was to examine the multicollinearity between the Team Assessment Diagnostic Measurement (TADM) questionnaire, which measures shared mental model, and the Youth Sport Environment Questionnaire (YSEQ), which measures group cohesion. The participants were competitive youth soccer players. TADM and YSEQ were measured at the end of the season. Findings showed that the TADM was highly correlated with task cohesion (r = 0.81) even though VIF did not indicate multicollinearity. Therefore, TADM should be used with caution. Also, based on the definition of the shared mental model, Pathfinder or card sorting is recommended rather than using questionnaires.
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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 | 0.029 | 0.076 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".