研究生: |
童琦芳 Tung, Chi-Fang |
---|---|
論文名稱: |
大專女子排球不同攻擊位置之攻擊效益 The efficacy of attack in different positions in collegiate female volleyball |
指導教授: |
劉錦璋
Gin-Chang Liu |
口試委員: |
劉錦璋
Gin-Chang Liu 胡舉卿 Chu-Chin Hu 施惠方 Hui-Fang Szu |
口試日期: | 2024/07/26 |
學位類別: |
碩士 Master |
系所名稱: |
運動競技學系 Department of Athletic Performance |
論文出版年: | 2024 |
畢業學年度: | 112 |
語文別: | 中文 |
論文頁數: | 32 |
中文關鍵詞: | 運動表現分析 、攻擊 、效益 、不同位置 |
英文關鍵詞: | Performance analysis, Attack, Efficacy, Different positions |
研究方法: | 觀察研究 |
DOI URL: | http://doi.org/10.6345/NTNU202401363 |
論文種類: | 學術論文 |
相關次數: | 點閱:64 下載:3 |
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緒論:排球運動中攻擊是影響比賽勝負相關性最高的動作,本研究以大專女子排球為
研究對象,歸納文獻所提出的攻擊效益分級與方法,探討大專女子排球不同攻擊位置
之攻擊效益。方法:以112 年大專排球聯賽公開女子組第一級決賽之隊伍之決賽的比
賽數據(共計6 場,22 局,906 分,1582 次攻擊動作)進行不同攻擊位置的攻擊效益
分析,以出現次數、百分比及攻擊效益係數等描述性統計和卡方 (Chi- Square) 百分
比適合度檢定分析5 項攻擊效益(攻擊得分、對方無攻擊回球、受限攻擊效果、無攻
擊效果、攻擊失分)分別在不同攻擊手位置與不同排名隊伍之間的差異,卡方檢定顯
著性水平定為p< 0.05。結果:1.不同位置的攻擊手所表現出來的整體攻擊效益的比例
是相似的(2
= 1.48, df=8, p =0.99 > 0.05, φ =0.03),2. 從不同排名隊伍的所有位置攻擊
效益達顯著差異(2
= 39.99, df=20, p < 0.05, φ =0.15)以及各隊伍之間對不同位置攻擊手
的使用達顯著差異(2
= 128.67, df=10, p <0 .05, φ =0.29), 3. 不同攻擊位置在排名領先
攻擊手的攻擊效益皆未達顯著差異。結論:這5 項攻擊效益的分級是評估攻擊手貢獻
度的有效評量方法,球隊倚重的主攻與副攻位置有所不同,但快攻在一個球隊中貢獻
度很高的位置。從攻擊效益的角度來看大會所公布的最佳選手評定的結果也些微落
差。建議未來對不同層級賽事將攻擊效益做進一步分析,適當地納入攻擊效益係數做
為攻擊表現的評量參考指標。
關鍵詞:運動表現分析、攻擊、效益、不同位置
Introduction:. The attack is the action that has the highest correlation with the success of
volleyball team. The purpose of this study was to find out the common tendencies of efficacy
of attack between attack-positions among different ranking teams. Methods: The sample was
1582 attack actions played by 6 1st
-level of collegiate female volleyball matches, 22 sets, 906
points, which released by Chinese Taipei University Sports Federation website was collected
and analysed. A descriptive analysis (occurrence, occurrence percentage and coefficient of
attack efficacy), and an inferential analysis were made. Chi-square goodness of fit test was used
to examine the difference of distribution of percentages among the efficacy variables between
different positions and different ranking teams. The level of significance was established at p<
0.05. Results: 1. The proportion of the overall attack efficacy shown by the attackers in
different positions is similar ( = 1.48, df = 8, p = 0.99 > .05, φ = 0.03), 2. There were significant
differences in attack efficacy from all positions of the ranked teams ( = 39.99, df=20, p < .05,
φ =0.15) and between teams ( = 128.67, df=10, p < .05, φ =0.29), 3. There is no significant
difference in the attack efficacy of the leading attackers at different attack positions.
Conclusions: These 5 levels of attack efficacy are a valid measure of the attacker's contribution,
and teams rely on different positions in side-attacker and opposite-attacker, but the middle-
block attacker has a high contribution in a team. From the point of view of the effectiveness of
the attack, the results of the evaluation of the best attackers of each positions announced by
official report is controversial. It is suggested that in the future, efficacy of the attack in
competition of different levels should be further studied, and then the evaluation method of
efficacy of attack should be appropriately applied in the evaluation of attack performance.
Key words: Performance analysis, Attack, Efficacy, Different positions
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