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題名 | 國立臺灣體育學院招考新生男生網球測驗項目編製之研究=The Study on a Compilation of Tennis Test Items in Entrance Examination of for New Male Students at National Taiwan College of Physical Education |
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作者 | 陳新枝; | 書刊名 | 國立臺灣體育學院學報 |
卷期 | 3(下) 民87.06 |
頁次 | 頁545-595 |
分類號 | 528.9017 |
關鍵詞 | 國立臺灣體育學院; 招考新生; 男生; 網球; 測驗項目編製; |
語文 | 中文(Chinese) |
中文摘要 | 本研究目的在以多元逐步迴歸法( multiple stepwise regression ),以國立 臺灣體育學院八十六學年度第一學期網球專長男生 46 名為研究對象,實施二十一項網球基 本運動技能測驗與運動技能表現(單打循環賽名次)測驗所獲資料編製具代表性的入學考試 測驗組合,以作為網球招考新生術科測驗項目編配參考,經統計分析後得如下結論: 一、各項測驗信度經考驗結果,均達顯著水準( P<0.01 )。二、基本運動技能測驗與運動 技能表現(循環賽名次)(共二十一項)對網球運動技能表現的預測效力,經七個步驟(其 中第 09 因素 - 正手高壓殺球擊準得分於第六個步驟時被剔除), 共投入第 X20 因素 - 雙敗淘汰排名賽、第 19 因素 - 組合動作擊球距離、第 12 因素 - 發球距離、第 10 因素 - 正手高壓殺球距離、第 05 因素 - 正反手拍抽擊準得分, 即能使迴歸模式達非常顯著水 準( F=806.454,P<0.01 )。得複相關係數 R=0.9874,決定係數 R2=0.9749,即五個因素 之預測效力佔總變異量的 97.49%,增加量為 1.53%。 並得:原始分數迴歸(預測)方程式 :Y=-7.6825+0.4371X �� +0.3802X ���� +0.0788X �� -0.0698X �� -0.5118X �N 標準化迴歸方程式: Zy=0.4348ZX �� +0.5581ZX ���� +0.1347ZX �� -0.0936ZX �� -0.0588ZX �N |
英文摘要 | The purpose of this study was to find conclusions by using multiple stepwise regression, 46 tennis major male players at National Taiwan College of Physical Education were the subjects. The conclusions were drawn from the tests of the 21 given items of tennis fundamental skill and performance for 28 days. The multiple stepwise regression equation was generated from the test result in order to be used as a reference of enrollment standard effectively and objectively. After statistical analysis, there were conclusions as follows: 1.Every test reliability after the test result, all reached standard level respectively (P<0.01). 2.The fundamental skill test and sport skill performance (run match rankname)(total 21 items) for predicting the effect of tennis sport skill performance, after the 7 steps (the X09th - factor forehand smash point was taken out[sweep-out]), the involved factors were X20th factor double defeat elimination game; X19th skill action of combination; X12th service of distance; X10th fore- hand smash of distance; X05th fore-hand and back-hand ground-stroke score point. The factors caused the sig- nifican level of regression mode (F=806.454, P<0.01). The multiple correlation coefficient was significant, R=0.9874, and decisive coefficient was R2=0.9749, which means the 5 factors caused 97.49% of variance in criterion, and the increased measurement was 1.53%. Therefore, the result has a raw regression (forecast) equation as follows: Y=-7.6687+0.4380X �� +0.3798X ���� +0.0791X �� -0.0701X �� -0.5120X �N The standardized regression equation as follows: Zy=0.4357ZX �� +0.5575ZX ���� +0.1351ZX �� -0.0940ZX �� -0.0592ZX �N |
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