北京2008年奧運會女子手球攻守技術之迴歸分析

The Regression Analysis on Women's Handball Attack/Defense Skills at Beijing 2008 Olympic Games

10.6222/pej.4202.200906.0706

黃欽永(Ching-Yung Hwang)

手球 ； 女子手球 ； 攻守技術 ； 迴歸分析 ； handball ； women's handball ； attack/defense skills ； regression analysis

體育學報

42卷2期（2009 / 06 / 01）

81 - 93

繁體中文

Purpose: By using various regression analysis methods, this study delved into how different methods may have had different prediction about the attack/defense skills of the net game scores in women's handball games at Beijing 2008 Olympics Games; at the same time, there was a regression diagnosis undergoing to find the best predictive model. Besides, this study also compared the correlation between the regression analysis and the coaches' evaluations. Method: Based on the official records of women's handball competitions at Beijing 2008 Olympics Games, 18 attack/defense skills were chosen as variables and the net game scores were taken as (Y) to conduct stepwise regression analysis under the Mallow's C (P) and R^2 methods, comparing the difference between the variables chosen by the two methods. 25 national handball coaches were interviewed to share their professional evaluations on what competition skills may be crucial for the net game scores. Moreover, the Spearman rank correlation was used to see the correlation between the order of the chosen variables of the aggression analysis and the coaches' opinions. Results: The stepwise regression analysis and the Mallow's C (P) method had both entered 9 same variables, which could explain that the variance of the net game scores in the women's handball games was 70.6%. Of the 9 variables from the two methods, 8 were unanimous with the coach variables, and there was significant correlation between the variables entered by the two methods and the ones entered by the coaches (r(subscript s)=.91, t(subscript .975(7))=5.99, p＜.05). Conclusion: The 9 variables entered by the stepwise regression analysis and the Mallow's C (P) and R^2 methods are the best combination to predict the net game scores in women's handball games and provide very valuable evaluations.

Purpose: By using various regression analysis methods, this study delved into how different methods may have had different prediction about the attack/defense skills of the net game scores in women's handball games at Beijing 2008 Olympics Games; at the same time, there was a regression diagnosis undergoing to find the best predictive model. Besides, this study also compared the correlation between the regression analysis and the coaches' evaluations. Method: Based on the official records of women's handball competitions at Beijing 2008 Olympics Games, 18 attack/defense skills were chosen as variables and the net game scores were taken as (Y) to conduct stepwise regression analysis under the Mallow's C (P) and R^2 methods, comparing the difference between the variables chosen by the two methods. 25 national handball coaches were interviewed to share their professional evaluations on what competition skills may be crucial for the net game scores. Moreover, the Spearman rank correlation was used to see the correlation between the order of the chosen variables of the aggression analysis and the coaches' opinions. Results: The stepwise regression analysis and the Mallow's C (P) method had both entered 9 same variables, which could explain that the variance of the net game scores in the women's handball games was 70.6%. Of the 9 variables from the two methods, 8 were unanimous with the coach variables, and there was significant correlation between the variables entered by the two methods and the ones entered by the coaches (r(subscript s)=.91, t(subscript .975(7))=5.99, p＜.05). Conclusion: The 9 variables entered by the stepwise regression analysis and the Mallow's C (P) and R^2 methods are the best combination to predict the net game scores in women's handball games and provide very valuable evaluations.

1. 黃欽永(2008)。北京2008年奧運男子手球比賽技術之多元迴歸分析。運動教練科學學刊，13，33-50。
   連結：
2. 黃欽永、姚漢禱(2006)。多元迴歸在大學男子手球比賽技術分析之應用。臺大體育學報，8，31-52。
   連結：
3. Freund, R. J.,Littell, R. C.(1991).SAS System for regression.Cary, NC:SAS Institute Inc..
4. Hong, S. P.,Lee, C. S.(1986).A study on the 5th ladies junior handball world championship 1985 in Seoul.Research on Handball Skill,2(1),26-40.
5. Hong, S. P.,Yoo, J. C.(1984).A study on the male handball game in L. A. Olympic Games.體育科學研究誌,2(1),150.
6. 王丕助(2006)。碩士論文(碩士論文)。臺中市，國立臺灣體育大學。
7. 王清明(2007)。第28屆奧運會中、丹、韓女子手球隊攻防技術比較研究。首都體育學院學報，19(2)，85-87。
8. 王景南(2000)。模糊迴歸分析在籃球比賽攻防技術之應用。國家科學委員會研究彙刊：人文及社會科學，10(3)，287-298。
9. 田文政(1995)。第七屆亞洲杯男子手球錦標賽各隊攻守技術能力之比較研究。體育學報，19，71-84。
10. 李炯煌(2001)。第十五屆世界盃男子手球錦標賽攻守因素之研究。大專體育學刊，3(1)，139-146。
11. 李炯煌(1998)。八十五學年度全國高中男子手球聯賽攻守計數之迴歸分析。體育學報，26，209-216。
12. 林輝雄(1987)。1986年第十屆亞洲運動會手球錦標賽影響與賽各隊運動表現因素之分析研究。臺中市:昇朝。
13. 林輝雄(1992)。大專院校八十學年手球教練講習會講習手冊。新竹市:中華民國大專手球委員會。
14. 姚漢禱(2001)。多元逐步迴歸分析在體育研究上的應用。中華民國大專院校九十學年度體育統計研討會，桃園縣:
15. 馬彪(2006)。對女子手球項目技戰術發展趨勢的分析。安徽體育科技，27(3)，38-39。
16. 高斌、何麗娟(2004)。世界女子手球運動技戰術發展動態初步研究。首都體育學院學報，16(4)，15-17。
17. 張冰雨(2004)。女子手球常規技術指標與比賽名次的相關分析。北京體育大學學報，27(6)，859-860。
18. 張簡坤明(2006)。男子手球比賽不同位置射門得分記錄分析－以2002 年釜山亞運男子手球賽爲例。競技運動，8(1)，859-860。
19. 黃俊英(2001)。多變量分析。臺北市:中國經濟企業研究所。
20. 黃炳春(2006)。快攻技術在手球比賽中的主導作用。軍事體育進修學院學報，25(4)，92-93。
21. 黃欽永(1998)。大專院校男子手球攻擊模式分析（81~86學年）。臺大體育學報，2，135-188。
22. 黃欽永(1993)。大專院校男子手球隊攻擊技術分析。臺北市:靖宇資訊科技。
23. 黃欽永(2003)。2000年東南亞大學生手球邀請賽男子比賽技術分析。臺大體育學報，6，87-108。
24. 黃欽永(1992)。臺灣大學男子手球隊攻擊技術分析。中華民國大專院校體育總會81學年度體育學術研討會專刊，臺北市:
25. 黃欽永、邱慶宏(1997)。手球射門技術之射點分析。中華民國大專院校86年度體育學術研討會論文專刊（下），臺北市:
26. 譚醒鴻(1990)。女子手球運動在各種攻擊角度中射門對成功射門進球點之研究。臺南市:崇正出版社。

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