Validation on Talent Selection Criteria for High School Football Central Defenders Based on A Multidimensional Evaluation System
DOI:
https://doi.org/10.54097/f83dhf12Keywords:
Football central defender; Talent selection; Web Searching Method; Percentage Conversion Method; Expert Scoring Method.Abstract
This study further validates the previously established selection indicator system for high school soccer central defenders. For each evaluation indicator, a corresponding test was designed; for example, the Illinois Agility Test was used for the testing agility. An online research method was employed to reference authoritative scoring standards, such as those in Physical Education and the Study of Sport. The percentage conversion method was used to convert raw scores into a percentage scale. The expert scoring method involved inviting professional coaches to evaluate players during seven-a-side matches. Three high school central defenders were selected: Student Wang achieved a final score of 72.2102 points, Student Xue obtained 75.2710 points, and Student Zhao scored 78.5893 points. The players with the higher final scores, Student Zhao and Student Xue, were starters on their team in reality; the player with the lower final score, Student Wang, was a substitute on his team. This finding confirms the validity and reliability of the model.
Downloads
References
[1] Shuai Z. Research on Talent Selection Criteria for High School Football Central Defenders based on a Multidimensional Evaluation System. Highlights in Science, Engineering and Technology, 2025, 140: 108-117. [Online]. Available: https://doi.org/10.54097/9e810q04 DOI: https://doi.org/10.54097/9e810q04
[2] Castagna C., and Castellini E. Vertical jump performance in Italian male and female national team soccer players. The Journal of Strength & Conditioning Research, 2013, 27(4): 1156-1161. DOI: https://doi.org/10.1519/JSC.0b013e3182610999
[3] Arabatzi F., Kellis E., and De Villarreal E. S. S. Vertical jump biomechanics after plyometric, weight lifting, and combined (weight lifting+ plyometric) training. The Journal of Strength & Conditioning Research, 2010, 24(9): 2440-2448. DOI: https://doi.org/10.1519/JSC.0b013e3181e274ab
[4] Cronin J. B., and Hansen K. T. Strength and power predictors of sports speed. The Journal of Strength & Conditioning Research, 2005, 19(2): 349-357. DOI: https://doi.org/10.1519/00124278-200505000-00019
[5] Martinez D. B. The use of reactive strength index, reactive strength index modified, and flight time: Contraction time as monitoring tools. Journal of Australian Strength & Conditioning, 2016, 24(5).
[6] Hoffman J. NSCA's guide to program design. Champaign, IL: Human Kinetics, 2011.
[7] Schmitz B., Pfeifer C., Kreitz K., et al. The Yo-Yo intermittent tests: a systematic review and structured compendium of test results. Frontiers in physiology, 2018, 9: 870. [Online]. Available: https://doi.org/10.3389/fphys.2018.00870 DOI: https://doi.org/10.3389/fphys.2018.00870
[8] Davis B. Physical Education and the Study of Sport, 4th ed. Edinburgh; New York: Mosby, 2000.
[9] Davis B., Roscoe J., and Roscoe D. Physical Education and the Study of Sport, 5th ed. Edinburgh: Elsevier Mosby, 2005.
[10] Tang Chenyan. Research on the Selection and Evaluation Criteria for U-13 Goalkeepers in Shanghai Campus Football Elite Training Camp [D]. Shanghai University of Sport, 2021. (In Chinese).
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Highlights in Business, Economics and Management

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







