首页> 外文期刊>Journal of Human Sport and Exercise >Investigating factors that improve golf scores by comparing statistics of amateur golfers in repeat scramble strokes and one-ball conditions
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Investigating factors that improve golf scores by comparing statistics of amateur golfers in repeat scramble strokes and one-ball conditions

机译:通过比较在重复争吵中风和单球条件下的业余高尔夫球手统计数据来改善高尔夫评分的因素

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This study investigated how scores and statistics of amateur golfers changed when self-scramble (SC) was compared to normal play. Participants took two (SC2) to three (SC3) golf strokes each. Scores under these conditions were compared with those from normal round (NR) play to determine to what extent the scores and statistics would improve. Means, standard deviations, repeated measures one-way ANOVA, and a forward stepwise multiple regression analysis were performed for data analysis. The mean total score over nine holes by NR plays was 46.6 strokes, with a significant reduction of 7.7 strokes and 10.6 strokes under SC2 and SC3 conditions, respectively. Even when the three play conditions’ total scores decreased significantly for all subjects, the putt rate was around 38%, suggesting that the ratio of the number of putts per score did not change when play conditions changed. Stepwise multiple regression analysis for NR and SC2 using total score as the dependent variable and each statistic as the independent variables showed that greens in regulation (GIR) predicted 51.2% of the total score for NR; GIR and the One-Putt rate predicted 87.3% of the total score for SC2. These findings indicate that GIR is the most important factor for reducing non-professional golfers’ total scores. This study suggests that players gain experience in reducing their golf scores in a format that is similar to an actual game of golf.
机译:本研究调查了业余高尔夫球手的分数和统计数据在与正常播放相比自争吵(SC)时改变。参与者将两个(SC2)拿到三(SC3)高尔夫抚摸。将这些条件下的分数与来自正常圆形(NR)的比较进行比较,以确定分数和统计数据如何改善的程度。手段,标准偏差,重复测量单向ANOVA,并对向数据分析执行向前逐步的多元回归分析。 NR Plays的九个孔的平均总分分别为46.6分,分别在SC2和SC3条件下显着减少了7.7中风和10.6中风。即使对于所有受试者的三个游戏条件的总数显着下降,Putt率为38%,表明每次得分的推杆数量的比率在发挥条件发生变化时不会改变。 NR和SC2的逐步多元回归分析使用总分作为因变量和独立变量的每个统计数据显示,在规则中的绿色(GIR)预测NR总分的51.2%; GIR和单推率预测SC2总分的87.3%。这些调查结果表明,GIR是减少非专业高尔夫球手总分的最重要因素。这项研究表明,玩家通过类似于高尔夫球比赛的格式获得减少高尔夫评分的经验。

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