Relationship of Motor Fitness Components with Service Ability of Volleyball Players of Valsad District
Bibliographic record
Abstract
The purpose of the study was to find out the relationship of motor fitness components with Service Ability of volleyball players. For the present study the selection of the sampling was based on Veer Narmad South Gujarat University, Surat Volleyball inter college tournament. Here for this said tournament participating colleges were divided into four zones, Surat city, Surat Rural, Bharuch and Valsad district respectively. Out of these zones the four semi-finalists team of each zone means sixteen best teams, four from each zone having 192 male best players based on their performance, select total 180 subjects out of 192 for the present study. The subjects selected was in the age range of 17 -25 years. After being informed of the study's requirements, each participant willingly consented to participate in the testing program. The research scholar met and had a special conversation to orient the subjects on the research study. A detailed explanation of the testing, experimental process, and exercise schedules was provided so that the subjects would know exactly what to expect and how much effort would be required of them. The standard of measurement in this research study was measuring Speed - 50 Yard Desh test, Agility-4 X 10 m shuttle run, Flexibility- Seat and Reach, Explosive power- Sargent jump, Cardio – vascular endurance through the Cooper’s 12 minutes ran/walk. In order to investigate the motor fitness components and skill performance of volleyball players, descriptive analysis statistics; such as mean, standard deviation, minimum value, maximum value was applied. The relationship of motor fitness components and skill performance of volleyball players, was established by computing Karl Pearson’s Product Moment Co-relation was used. The combined contribution of separately considered motor fitness components to skill performance was obtained through multiple correlations. Further in order to find out which aspect has the maximum impact on the skill performance score of volleyball players, multiple regression analysis was applied. For testing the hypothesis, the levels of confidence were set at p<0.05. The Conclusion are as under The explosive power significantly negative correlation with the service ability. The positive but not statistically significant correlation between speed, flexibility and agility. And the cardio-vascular endurance negative not statistically significant correlation with the service ability.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".