Application of the Motor Abilities Assessment as Part of a Talent Identification System in Tennis Players: A Pilot Study

Jung-Piao Tsao, Chia-Che Liu and Bi-Fon Chang
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Jung-Piao Tsao: Department of Sports Medicine, China Medical University, Taichung City 406, Taiwan
Chia-Che Liu: Physical Education Center, Feng Chia University, Taichung City 407, Taiwan
Bi-Fon Chang: Department of Physical Education, National Taichung University of Education, Taichung City 403, Taiwan

IJERPH, 2022, vol. 19, issue 15, 1-11

Abstract: In this study, we sought to develop a testing system to scientifically identify tennis talent. This testing system will provide helpful information for players who intend to pursue a professional tennis career. The experimental subjects were 18 college students consisting of 10 tennis players (including 4 soft tennis) and 8 basketball players (all males). The subjects were tested on their vertical jump, 60 m shuttle runs, and shoulder joint mobility to identify tennis talent. To statistically analyze the data, an R package was used to conduct a principal component analysis of the athletic performance indicators of the samples, and the samples were further classified via agglomerative hierarchical clustering. This study found that tennis players required more flexibility than basketball players. Regarding the differences between male and female soft tennis players, the unclassified results showed that there was a significant difference in explosive power. However, there was no significant difference in flexibility between genders. The research methods and results of this study can be used as a reference for others to build a system for identifying athletic performance characteristics in the future, and it is expected that the implementation of this system can provide sports coaches with more information for talent selection and improve the accuracy of their judgments, allowing athletes to play to their strengths.

Keywords: tennis; talent identification; adaptive learning (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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