Prediction of badminton change of direction ability using Principle Component Analysis

Farjad Pezeshk, Seyyed Abbas; Ilbeigi, Saeed; Yousefi, Mohammad; Sayarfard, Ahmadreza

doi:10.22089/smj.2021.10351.1487

Prediction of badminton change of direction ability using Principle Component Analysis

Document Type : Research Paper

Authors

¹ faculty of physical education and sport sciences, sport sciences group of university of birjand, birjand, iran

² university of birjand

³ Assistant professor of sport biomechanics in Birjand University

https://doi.org/10.22089/smj.2021.10351.1487

Abstract

The aim of this study was to badminton change of direction ability using Principal The aim of this study was to investigate badminton change of direction ability using principal component analysis (PCA). Forty-three professional badminton players were selected for this quasi-experimental study. Peak and average power, vertical and horizontal jump, ergo jump, agility and, anthropometric variables were used to predict the badminton change of direction ability. The results showed that the highest factor loading was related to the Wingate mean power (0.93). Moreover, multiple regression indicated that horizontal jump was the best predictor for mean power and along with simple evolutionary multiobjective optimizer (SEMO) and weight could be a good predictor of mean power. The result of the current study suggested the mean power and field tests including long jump, SEMO and body mass were the best predictors for the ability to change the direction of badminton players.

Keywords