- 期刊
大專籃球聯賽勝敗與攻守項目之探討－以100學年度大專甲一級女子籃球聯賽為例
An Analysis of Victory or Defeat in Addition to Offence and Defense in University Basketball Association-A Case Study of Female Collegiate First Level Basketball Tournament in 2011 Academic Year
摘要
本研究旨在瞭解大專盃女子組籃球甲一級聯賽十二所學校間的比賽，其攻守記錄中各項攻守技術與比賽勝敗之間的影響。經由文獻探討及100學年度之比賽數據，探討單場比賽的勝敗與各項攻守記錄之間的重要性，並藉由影響勝敗的因子與攻守記錄的統計數值，比較各間學校的差異性，用以提供各大專校院之球隊日後練習與比賽之參考依據。本研究針對參賽的十二所學校其攻守記錄進行敘述性統計，用以瞭解各學校的比賽概況，並比較各學校在各項目上的差異性，接著採用羅吉斯迴歸（Logistic Regression）模型來進行統計分析，用以瞭解各學校的勝敗與其他攻守項目之間的關係，並藉由使用R統計軟體，針對攻守數據來分析二元分類的羅吉斯迴歸模型。結果顯示，防守籃板球個數以及得分的多寡是最為影響勝敗的因子。
並列摘要
The research purports to understand, according to the offensive-defensive record, the influence of offensive-defensive techniques on victory or defeat of female collegiate first level basketball tournaments among 12 universities. With literature review and tournament data collected in 2011 academic year, the research discusses the importance of victory or defeat of single tournament and offensive-defensive records while comparing the difference among universities in terms of factors affecting victory or defeat and offensive-defensive statistics, as a reference to later practices and tournaments for basketball teams of universities. Descriptive statistics is applied to offensive-defensive records of 12 participative universities to know each university's tournament profile and compare the difference in all techniques among all participants. Logistic regression model is adopted for statistical analysis to find out the relationship between victory or defeat of each university and each offensive-defensive technique. The statistical software R is used to analyze binary logistic regression model based on offensive-defensive statistics. It shows that number of defensive rebound and scoring are the factors that mostly affect victory or defeat.