The Ottawa Mental Skills Assessment Tool (OMSAT-3*)
Bibliographic record
Abstract
The purpose of the present study was to assess the psychometric properties of the Ottawa Mental Skills Assessment Tool (OMSAT-3), an instrument developed to measure a broad range of mental skills (Salmela, 1992). The OMSAT-3 was administered to 335 athletes from 35 different sports. An initial first-order confirmatory factor analysis (CFA) revealed that the model displayed an inadequate fit, which led to the postulation of a more robust version, the OMSAT-3*. A CFA on this latter version, which included 48 items and 12 mental skill scales grouped under three broader conceptual components—foundation, psychosomatic, and cognitive skills—indicated that the proposed model fit well the data. A second-order CFA assessing the validity of the three broader conceptual components also yielded adequate indices of fit. The OMSAT-3* significantly discriminated between competitive and elite level athletes and its scales yielded acceptable internal consistency and temporal stability. Implications for consultants, coaches, and researchers 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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".