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Construction of Comprehensive Tests to Evaluate College Men Football Players’ Performance |
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| รหัสดีโอไอ | |
| Creator | Yongzheng Huang |
| Title | Construction of Comprehensive Tests to Evaluate College Men Football Players’ Performance |
| Contributor | Nopporn Tasnaina, Achala Soachalerm |
| Publisher | DR.KEN Institute of Academic Development and Promotion. |
| Publication Year | 2566 |
| Journal Title | International Journal of Sociologies and Anthropologies Science Reviews |
| Journal Vol. | 3 |
| Journal No. | 3 |
| Page no. | 239-250 |
| Keyword | Football Performance, Comprehensive Football Tests, University Football Test Criteria |
| URL Website | https://so07.tci-thaijo.org/index.php/IJSASR/about |
| Website title | https://so07.tci-thaijo.org/index.php/IJSASR/article/view/2917 |
| ISSN | 2774-0366 |
| Abstract | Background and Aim: With the development of football, higher requirements have been put forward for the abilities of football players. Football teachers and coaches need to scientifically and accurately evaluate the performance of football players, grasp the advantages and disadvantages of their sports performance, and provide assistance and guidance for football teaching and training. The purpose of this study is to establish a comprehensive evaluation model based on technical, physical fitness, psychological, and anthropological aspects, to predict and evaluate the football performance of male college students.Materials and Methods: In this study, 156 football players were from Shaoguan University in Guangdong Province, China. Through the Delphi method, the test indexes of football performance were determined, and all 156 subjects were strictly tested. The methods for data collection and analysis include median, IQR, Pearson correlation analysis, Spearman correlation analysis, and Stepwise regression analysis. The data analysis software is mainly SPSS 20.0.Results: Through analysis, it was found that long pass, fast dribble shot, vertical jump, competitive motivation, and 10meter run were the key factors affecting football players’ performance, and the regression prediction model obtained was: 0.935+0.046× (Long pass) －0.140× (Fast dribble shot) +0.011× (Vertical jump) +0.011× (Competitive motivation) －0.731× (10-meter run).Conclusion: The results of this study confirm that the evaluation of FPP needs to be conducted systematically, comprehensively, and multifactorial, and note that FPP cannot be evaluated from a single perspective. The results of this study provide an effective reference for the comprehensive evaluation of FPP, and all the research methods can be extended to other research fields. |
