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A Systematic Review of Methods and Criteria Standard Proposal for the Use of Principal Component Analysis in Team’s Sports Science

机译:在团队体育科学中使用主要成分分析的方法和标准标准建议的系统审查

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摘要

The availability of critical information about training and competition is fundamental on performance. Principal components analysis (PCA) is widely used in sports as a multivariate technique to manage big data from different technological assessments. This systematic review aimed to explore the methods reported and statistical criteria used in team’s sports science and to propose a criteria standard to report PCA in further applications. A systematic electronic search was developed through four electronic databases and a total of 45 studies were included in the review for final analysis. Inclusion criteria: (i) of the studies we looked at, 22.22% performed factorability processes with different retention criteria (r > 0.4–0.7); (ii) 21 studies confirmed sample adequacy using Kaiser-Meyer-Olkim (KMO > 5–8) and 22 reported Bartlett’s sphericity; (iii) factor retention was considered if eigenvalues >1–1.5 (n = 29); (iv) 23 studies reported loading retention (>0.4–0.7); and (v) used VariMax as the rotation method (48.9%). A lack of consistency and serious voids in reporting of essential methodological information was found. Twenty-one items were selected to provide a standard quality criterion to report methods sections when using PCA. These evidence-based criteria will lead to a better understanding and applicability of the results and future study replications.
机译:有关培训和竞争的关键信息的可用性是表现的基础。主要成分分析(PCA)广泛用于体育中的多元技术,以管理来自不同技术评估的大数据。这种系统审查旨在探讨报告的方法和团队体育科学中使用的统计标准,并提出了在进一步申请中报告PCA的标准标准。通过四个电子数据库开发系统的电子搜索,审查最终分析中共有45项研究。纳入标准:(i)我们研究的研究,22.22%的持有标准进行了解决方法(r> 0.4-0.7); (ii)21项研究证实了使用Kaiser-Meyer-Olkim(KMO> 5-8)和22次报告的Bartlett的球体的样品充足; (iii)如果特征值> 1-1.5(n = 29),则考虑因子保留; (iv)23研究报告载荷保留(> 0.4-0.7); (v)使用Varimax作为旋转方法(48.9%)。发现,发现了报告基本方法信息的缺乏一致性和严重空隙。选择二十一件物品以提供标准质量标准,以在使用PCA时报告方法部分。这些基于证据的标准将导致结果和未来的研究复制的更好理解和适用性。

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