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首页> 外文期刊>Physical Culture: journal of sports sciences and physical education >The latent structure of anthropometric variables in female volleyball players aged 12-14 years
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The latent structure of anthropometric variables in female volleyball players aged 12-14 years

机译：12-14岁女排运动员人体测量变量的潜在结构

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The goal of this transverse research was to establish the correlations between morphological characteristics, and identifying the latent morphological structure. In the morphological space, a group of 12 standard anthropometric variables was measured. The sample encompassed 158 female subjects, aged 12 to 14 years, from volleyball clubs of the Kolubara-Macva Inter regional Serbian league. Statistical data analysis was conducted using Pearson's coefficient of correlation and Principal component analysis (PCA). Results from the correlation analysis showed statistically significant linear correlations in almost all anthropometric variables of female U14 volleyball players. Using the method of Principal Component Analysis (PCA), together with the Kaiser-Guttman criteria and Varimax rotation, a threecomponent model was extracted which comprised 83,35% of proportion of the total variance of manifested anthropometric variables. This model was structured by the hypothetical factors with their characteristic roots (? > 1), which were interpreted as: longitudinal skeleton dimensionality (F1), body volume and body mass (F2), and subcutaneous fat tissue (F3). The limitations of this study were discussed, as well as recommendations for future longitudinal research. Objectively, an insufficient amount of conducted empiric studies so far presents a motive for other authors to establish a relationship between morphological landmarks and defining the build of the morphological space in preadolescent population of female volleyball population.
机译：这项横向研究的目的是建立形态特征之间的相关性，并确定潜在的形态结构。在形态空间中，对一组12个标准人体测量变量进行了测量。样本包括来自Kolubara-Macva国际区域塞尔维亚联赛排球俱乐部的158名年龄在12至14岁之间的女性受试者。使用Pearson相关系数和主成分分析（PCA）进行统计数据分析。相关性分析的结果显示，在女性U14排球运动员的几乎所有人体测量学变量中，统计学上均具有显着的线性相关性。使用主成分分析（PCA）方法，结合Kaiser-Guttman准则和Varimax旋转，提取了一个三成分模型，该模型占所显示人体测量变量总方差的83.55％。该模型由具有特征根（？> 1）的假设因素构造而成，这些特征根被解释为：纵向骨架尺寸（F1），体积和体重（F2）以及皮下脂肪组织（F3）。讨论了这项研究的局限性，并为以后的纵向研究提供了建议。客观地讲，迄今为止进行的实证研究数量不足，这为其他作者提供了动机，以建立形态标志之间的关系并定义女性排球青春期前人群的形态空间。

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