نوع مقاله : مقاله پژوهشی
نویسندگان
1 . گروه علوم ورزشی، دانشکده تربیت بدنی و علوم ورزشی دانشگاه بیرجند، بیرجند، ایران
2 گروه علوم ورزشی، دانشکده تربیت بدنی و علوم ورزشی دانشگاه بیرجند، بیرجند، ایران
3 دانشجوی کارشناسی ارشد بیومکانیک ورزشی دانشگاه بیرجند
چکیده
این مطالعه با هدف پیشبینی قابلیت تغییر جهت در بدمینتون با استفاده از تجزیهوتحلیل اجزای اصلی انجام شده است. 43 بازیکن حرفه‌ای بدمینتون برای این مطالعۀ نیمهآزمایشگاهی انتخاب شدند. حداکثر و متوسط توان، پرش عمودی و افقی، پرش ارگو، چابکی و برخی از متغیرهای آنتروپومتریک بهعنوان پیشبینیکننده‌های توانایی تغییر جهت استفاده شدند. نتایج نشان داد بیشترین بار عاملی به میانگین توان وینگیت (93/0) متعلق است. رگرسیون چندمتغیره نیز نشان داد پرش افقی بهترین پیشبینیکنندۀ میانگین توان است و در کنار سمو و وزن می‌تواند پیشبین خوبی برای میانگین توان باشد. نتیجۀ این مطالعه نشان داد میانگین توان بهترین پیشبین برای توانایی تغییر جهت بدمینتون بازان است و آزمونهای میدانی شامل پرش طول، آزمون سمو و وزن، بهترین آزمونهای میدانی برای توانایی تغییر جهت بازیکن بدمینتون است
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
Prediction of badminton change of direction ability using Principle Component Analysis
نویسندگان [English]
- seyyed abbas farjad pezeshk 1
- saeed ilbeigi 2
- Mohammad Yousefi 2
- ahmadreza sayarfard 3
1 faculty of physical education and sport sciences, sport sciences group of university of birjand, birjand, iran
2 university of birjand
3 university of birjand
چکیده [English]
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.
کلیدواژه‌ها [English]
- badminton
- change of direction
- power
- explosive strength
- agility
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