本研究主要目的在瞭解全國高中籃球聯賽,甲級女子籃球選手社會支持對成績表現影響之情形。採問卷調查法,以「社會支持量表」作為研究工具,於98年4月26日至5月3日間,以立意抽樣的方式,在苗栗市全國中學籃球賽中進行研究,回收182份有效問卷後,利用SPSS for Windows12.0版統計套裝軟體進行統計分析,以描述性統計、重複量數單因子變異數分析、皮爾遜積差相關、多元迴歸分析等統計方法進行分析,結果發現:(一)全國高中甲級女子籃球選手中,其中參與人數以一年級71人最多、二年級67人居次、人數最少是三年級44人;以國小階段開始接受團隊訓練有88人最多、其次為國中開始接受訓練有77人,最少是高中才開始接受團隊訓練有17人;身為每場先發球員有59人、非先發球員有123人。(二)全國高中甲級女子籃球選手其社會支持中共獲得五項因素,以「隊友支持」因素最為重視,其次為「教練支持」、第三是「同儕支持」、第四則是「家人支持」、而「教師支持」是最不受重視之因素。(三)以「社會支持」因素來預測對成績表現影響之分析情況,透過Logistic迴歸分析發現「隊友支持」、「家人支持」對成績表現有顯著的負向預測力,「同儕支持」對成績表現有顯著的正向預測力。
The main purpose of this research lies in the attempts to understand society support impacts to the performance records for Division I women basketball athletes in high school basketball league nationwide. This research adopts the survey approaches relying upon the ”society support measurement questionnaire” as the research tool. And the sampling period was between April 26th, 2009 and May 3rd, 2009. This purposive sampling was conducted during the period of nationwide high school basketball tournament held in Miaoli City. There were 182 effective sampling return sheets collected. SPSS for Window 12.0 was applied with package software to conduct statistics analysis. Descriptive statistics, one-way ANOVA with repeated measures, Pearson product-moment correlation and Multiple Regression Analysis were used to conduct these analyses. The findings are: 1) Within the women basketball athletes in high school class A level nationwide, 71 from freshman high school students was the highest number of participant, followed by sophomore students of 67. And the least number of participants was 44 from the junior class. As for the group-training starting stage, 88 of them started since elementary school as being the highest, followed by 77 since junior high. The least of them were from high school stage with a total of 17. There were a total of 59 athletes categorized as starters for respective teams, and 123 of them were non-starters. 2) There were five factors acquired through society supports for women basketball athletes at high school class A level nationwide, and within these five, the ”team member support” factor was ranked as the most significant one, followed by ”coach support”, then ”peer support” as the third and ”family support” as the fourth. Nonetheless, ”teacher support” was viewed as the least significant factor. 3) As for using the ”society support” as the factor to predict the analysis scenarios for impact to performance records, it was found that ”family support” and ”teammate support” would have significant prediction capability in a negative way to the performance records and ”peer support” would have significant prediction capability in a positive way through Logistic Regression Analysis.