A Study on the Prediction of the Aptitude of Basketball Players

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  • バスケットボール・プレーヤーの適性予測に関する研究
  • バスケットボール プレーヤー ノ テキセイ ヨソク ニカンスルケンキュウ

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The purpose of this study was to predict the aptitude of basketball players. It was hypothesized that the excellent players would have a certain good aptitude. Under this working hypothesis, sixty-four test items, selected from seven ability areas, which were considered to cover all aspects of the aptitude of basketball player, were administered to members of the two groups of senior high school level : the one consisted of 25 excellent basketball players, and the other, 17 novice players. In order to discriminate the excellent players from the novice players more clearly in terms of the aptitude of basketball player, the data were analyzed using a multiple correlation ratio method devised as one of the discriminant function method. Investigating the coefficients of the obtained discriminant function and the structure vector indicating the correlation of each item with the discriminant function, thirteen items were selected, which were seemed to be useful to predict the aptitude of basketball player. Furthermore, in order to reduce the number of variables for use, taking account of the validity and practicality of the test, multiple correlation method was applied to the correlation matrix which consisted of same variables and discriminant function values as a criterion. Consequently, the following variables were selected as the predictive variables : chest girth (X_1), side step (X_2), criss-cross jump (X_3), 5 meter dash (X_4), trunk extention (X_5), body reaction time (X_6), ball handling test (X_7), basketball shooting test (X_8), dribbling test (X_9), and knowledge test of basketball (X_<10>). Then, the index (Y) for predicting the aptitude of basketball player was devised in the following linear function form, Y = 0.0101X_1 - 0 0185X_2 + 0.0719X_3 + 0.6899X_4 + O.0341X_5 + 9.6134X_6 - 0.l246X_7 + 0.0648X_8 + O.3204X_9 + 0.0109X_<10> - 18.6884 where, X_i (i = 1,2,・・・・・・,10) stands for the above mentioned paraemters, respectively.

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