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Determinants for table tennis performance in elite Scottish youth players using a multidimensional approach: A pilot study
High Ability Studies ( IF 1.8 ) Pub Date : 2018-07-18 , DOI: 10.1080/13598139.2018.1496069
Sean A.Picton Doherty 1 , Guillaume Martinent 2 , Amanda Martindale 1 , Irene R. Faber 3, 4, 5
Affiliation  

ABSTRACT

The purpose of the study is to explore whether a multidimensional profiling approach can be useful in predicting a table tennis player’s actual and future (one year later) performance. Data on anthropometrics, age from peak height velocity, motor-skills, psychological skills and training histories were gathered among Scottish elite youth male table tennis players (n = 14). Significant correlations emerged between: (a) actual performance rating and age from peak height velocity (r = .71), sprint test (r = -.69), number of years of practice (r = .84), positive refocusing (r = -.58), and self-regulation in learning – self-monitoring (r = -.60), and evaluation (r = .57); (b) performance rating one year later and positive refocusing (r = -.58), self-monitoring (r = -.50), and number of years of practice (r = .80). Results also showed significant correlations between progression scores (2017 rating score minus 2016 rating score) and age from peak height velocity (r = −0.77), sprint test (r = .63), number of years of practice (r = -.52), self-monitoring (r = .69), and evaluation (r = -.58). These results provided preliminary evidence for the usefulness of a multidimensional profiling approach for predicting performance and progression in youth table tennis players.



中文翻译:

使用多维方法研究苏格兰优秀青年球员乒乓球表现的决定因素:一项试点研究

摘要

这项研究的目的是探讨多维剖析方法在预测乒乓球运动员的实际和未来(一年后)表现方面是否有用。在苏格兰精英青年男性乒乓球运动员(n  = 14)中收集了人体测量学,最高峰速度的年龄,运动技能,心理技能和训练历史的数据。在以下方面之间存在显着的相关性:(a)实际性能等级与来自峰值高度速度的年龄(r  = .71),冲刺测试(r  = -.69),执业年限(r  = .84),积极重新聚焦(r  = -.58),学习中的自我调节–自我监控(r  = -.60)和评估(r = .57); (b)一年后的表现评级,并进行积极的重新定位(r  = -.58),自我监控(r  = -.50)和工作年限(r  = .80)。结果还显示,进步分数(2017年评分减去2016年评分)与年龄之间的显着相关性是峰值高度速度(r  = -0.77),冲刺测试(r  = .63),执业年限(r  = -.52 ),自我监控(r  = .69)和评估(r  = -.58)。这些结果为多维轮廓分析方法在预测青年乒乓球运动员的表现和进步方面的实用性提供了初步证据。

更新日期:2018-07-18
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