A survey of mental skills training among South Afrcan field hockey players at tertiary institutions
Bibliographic record
Abstract
The aims of the study were to determine student field hockey players’ perceived need for Mental skills training (MST), and their perceptions regarding their ability to prepare psychologically for matches, as well as to compile a general profile of their psychological skills for the total group and by gender. A total of 197 (91 men and 106 women) South African field hockey players at tertiary institutions who participated in the University Sport of South Africa (USSA) tournament, took part in the study. The subjects completed two standardised sport psychological questionnaires (the Psychological Skills Inventory (PSI) and the Ottawa Mental Skills Assessment Tool-3 (OMSAT-3). Descriptive statistics, t-tests and frequency analyses were calculated using SPSS for Windows (Version 3.1). The results from the PSI questionnaire showed poor values for skills such as goal directedness, activation control, maintaining selfconfidence, concentration and imagery among the total group. Significant gender differences in which the male subjects performed better than the females were observed for concentration, achievement motivation and activation control. The highest mean scores on the OMSAT-3 were found for goal setting, self-confidence and commitment. Significant gender differences were observed for goal setting and commitment (in which the females performed better than the males), whilst the males fared better than the females in stress reaction. The participants in the study perceived MST as an important tool to enhance performance in field hockey. From these results, it can be recommended that sport psychologists and other role players in field hockey pay more attention to the development and implementation of MST programmes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".