Prediction of Libero’s Performance on the basis of Selected Anthropometric Characteristics

M. Singh, R. Lal, R. K. Patel, Rajeev Chaudhary
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Abstract

The objective of the study was to predict of Libero’s performance on the basis of selected anthropometric characteristics. In this study, Libero’s performance was selected as dependent variable (DV) and selected anthropometric characteristics i.e. LP (Libero’s Performance), LH (Libero’s Height), LW (Libero’s Weight), LAL (Libero’s Arm Length), LFAL (Libero’s Fore Arm Length, LUAL (Libero’s Upper Arm Length), LUAC (Libero’s Upper Arm Circumference), LWC (Libero’s Waist Circumference), LHC (Libero’s Hip Circumference), LLL (Libero’s Leg Length), LLLL (Libero’s Lower Leg Length), LTC (Libero’s Thigh Circumference) and LCC (Libero’s Calf Circumference) were observed as independent variables (IV). For the purpose of the present study, the subjects were selected from Inter-university level Volleyball Tournament. A total of 75 male Liberos were purposively selected for the study. The age of the subjects ranged between 18-28 years. To find out relationship between Dependent Variable (Libero’s Performance) and Independent Variables (selected Anthropometric Characteristics), Product Moment correlation and multiple correlations were applied. For predicting Dependent Variable (Libero’s Performance) on the basis of Independent Variables (selected Anthropometric Characteristics), multiple regression equation was applied. Established regression models are: (1) Libero’s Performance = 114.163-551X Libero’s Height (2) Libero’s Performance = 137.345 -1.171 X Libero’s Height+.913 X Libero’s Leg Length (3) Libero’s Performance = 95.165 -.944 X Libero’s Height+1.296 X Libero’s Leg Length -1.024 X Libero’s Calf Circumference. The findings suggest that performance is associated with anthropometric characteristics with biomechanical implications that may be used to provide a more complete evaluation of Libero’s performance.
根据选定的人体测量特征预测Libero的性能
该研究的目的是在选定的人体测量特征的基础上预测Libero的表现。在本研究中,Libero的表现被选为依变量(DV)和选定的人体测量特征,即LP (Libero的表现)、LH (Libero的身高)、LW (Libero的体重)、LAL (Libero的臂长)、LFAL (Libero的前臂长)、LUAL (Libero的上臂长)、LUAC (Libero的上臂围)、LWC (Libero的腰围)、LHC (Libero的臀围)、LLL (Libero的腿长)、LLLL (Libero的下肢长)。LTC (Libero’s Thigh Circumference)和LCC (Libero’s Calf Circumference)作为自变量(IV)进行观察。本研究的研究对象为校际排球锦标赛。总共有75名男性Liberos被有意选择用于研究。研究对象的年龄在18-28岁之间。为了找出因变量(Libero的表现)和自变量(选定的人体特征)之间的关系,应用积矩相关和多重相关。在自变量(选定的人体测量特征)的基础上,运用多元回归方程预测因变量(Libero的表现)。建立的回归模型为:(1)Libero’s Performance = 114.163-551X Libero’s Height (2) Libero’s Performance = 137.345 -1.171 X Libero’s Height+.913(3)自由人的成绩= 95.165 - 0.944X Libero的身高+1.296 X Libero的腿长-1.024 X Libero的小腿围研究结果表明,性能与人体测量特征相关,并具有生物力学意义,可用于对Libero的性能进行更完整的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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