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IJSTR >> Volume 9 - Issue 4, April 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



The Effect Of Badminton Special Speed Training Method Toward Success Score And Time Perception Predictive Skills Performance Of Badminton Players

[Full Text]

 

AUTHOR(S)

Su Zhan Guo, Nur Ikhwan Mohamad, Nor Fazila Abd Malek & Ali Md Nadzalan

 

KEYWORDS

Speed training, badminton, success score, time predictive

 

ABSTRACT

This study aimed to investigate whether there is a significant in the effect of badminton special speed training method on successful score and time perception predictive skill performance of drop point of badminton players. Thirty elite badminton players were randomly selected for the purposes of the study. Participants were then randomly divided into the experimental group and control group. The experimental group adopted badminton special speed training method (BSSTM), with the control group adopted traditional speed training method (BTSTM). The total length of training intervention are 3 months. Assessment includes successful scores and time perception predictive skills performance of drop point of badminton players. Two-way between-groups analysis of variance (ANOVA) was used in successful scores, the results of data analysis showed that badminton special speed training method had a significant effect on the improvement of successful score of badminton players. Multivariate analysis of variance (MANOVA) was used in time perception predictive skills performance of drop point of badminton players, the results of data analysis showed that time prediction threshold of drop point of badminton players is decreased. The first study found that the badminton specialized speed training method improved badminton players’ motivation to hit the ball, in other words, developed the ability of badminton players to occupy the advantageous striking timing and position. The second analysis indicated that time threshold of drop point predicting was narrowed, in other words, brings the prediction time ahead.

 

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