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體育學報 TSSCI

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篇名 籃球比賽成績的攻防技術代表性項目之編製
卷期 18
並列篇名 Edit The Typical Offense and Defense Skill's Itemsof The Scores in Basketball Game
作者 曹健仲張延飛
頁次 113-123
關鍵字 進攻籃板球防守籃板球搶截助攻阻攻失誤犯規罰球命中率二分球命中率三分球命中率Offensive ReboundsDefensive ReboundsStealsAssistsBlocksErrorsFoulsFree ThrowsTwo-point Throws and Three-point ThrowsTSSCI
出刊日期 199412

中文摘要

本研究以參加八十二年社會男子甲組聯賽八個球隊、八十三場共計166筆比賽資料為研究範園,探討我國男子甲組籃球運動的發展現,況。將八十三場比賽166筆資料、十種攻防技街表現原始資料驗證無誤後,以十種攻防技街表現為自變數,隊伍比賽表現得分除以失分為效標,利用威杜多元相關公式選擇籃球攻防技街的代表性項目,並建立迴歸公式,找出代表性的籃球攻防技項目,以作為日後教練訓練球隊時的重點依據。其結果發現最具代表性籃球攻防技術項目依次為防守籃板球(X5)、二分球(X2)、搶截(X7)、失誤(X9)及罰球(X3) ,其標準分數的多元迴歸公式如下所示Zc二0.4475Zs + 0.3005Z2十0.2240Z7- 0.2197Z9+ 0.1820Z3 信度:0.6198 '效度:0.6744 而原始分數多元迴歸公式則為Xc = 0.0174XS + 0.0067X2十0.0133X7一0.0104X9+ 0.0024X3+ 0.1808 其oc (標準誤)= 0.1491

英文摘要

This research uses the participation of 8 basketball teams which is composed of the Social Men in the Level-A alliance contest in 1993. There are 83 games, summing up 166 references in this research field to discuss the developing situation of the Man Level-A basketball exercise in our country. In order to be the basic important point for the coach in trainning the basketball teams in the other days, after confirming no any error in the raw score of the 83 games, summing up 166 references, ten offensedefense skills, we take the performance of the ten offense-defense skills as independent variables, and the scores that the teams make as points in a game divided into the lost points as the efficienry﹒In addition, we used Wherry-Doolittle multiple ∞ηelation formula to choice the typical items of basketball offense and defense skills, and build the regression formula to find out the typical item of the basketball offense and defense skills. Asthe result, finding that the most typical items of the basketball offense and defense skills are as follows: In order ,theyare Defensive Rebounds(X5), Two-point Throws(X2), Stea!s(X7), Errors(X9), and Free Throws(X3). The standard score multiple regression formula is as follows: Zc=0.4475 Z 5 + 0.3005 Z 2 + 0.2240 Z 7一0.2197 Z 9+ 0.1820 Z 3 the reliability is 0.6198, and the validity is 0.6744,and the raw score multiple regression formula is Xc= 0.0174Xs+ 0.0067X2+ 0.0133X7- 0.0104X9+ 0.0024X3十0.1808 the c5c (Standard Error) = 0.1491

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