首页> 外文期刊>Kinesiologia Slovenica >?ernohorski, Branimir; Doupona Topi?, Mojca; Pustovrh, Janez - Predictability of cross-country skiers' competitive performance in terms of sociological variables
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?ernohorski, Branimir; Doupona Topi?, Mojca; Pustovrh, Janez - Predictability of cross-country skiers' competitive performance in terms of sociological variables

机译:布拉尼米尔·费尔诺霍斯基; Doupona Topi ?,莫伊卡; Janez Pustovrh-从社会学变量的角度来看越野滑雪运动员竞争表现的可预测性

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The purpose of the study is to establish the values of variables from the sociological area in predicting potential competitive performance in cross-country skiing. The sociological area, encompassing 11 variables, was studied within the MMPS model of potential performance (motor abilities, morphology, psychology, sociology). The sample consists of 48 cross-country skiers from three competitive categories. The expert modelling procedure was used to obtain scores (1-10) for the potential performance of the subjects at all levels of the sociological area. An analysis of the correlation between these scores and the actual competitive performance criterion (SLO_FIS) shows that the sociological area in all three categories of subjects is statistically insignificantly correlated with their competitive performance. Nevertheless, due to the small number of subjects the results cannot be generalised. After two subjects from each category were eliminated, this correlation increased substantially; in the category of older junior men it even reached the level of statistical significance (r = - 0.65). The results show that the original expert modelling procedure in the sociological area deserves further research attention and should be verified on larger samples of subjects practising not only this sport but also other sports.
机译:该研究的目的是从社会学领域确定变量值,以预测越野滑雪的潜在竞争表现。在MMPS潜在绩效(运动能力,形态,心理学,社会学)模型内研究了涵盖11个变量的社会学领域。样本包括来自三个竞争类别的48个越野滑雪者。专家建模程序用于获得受试者在社会学各个领域的潜在表现的分数(1-10)。对这些分数与实际竞争绩效标准(SLO_FIS)之间的相关性进行分析后发现,所有三类受试者的社会学领域与其竞争绩效在统计上均无关紧要。然而,由于学科数量少,结果无法一概而论。在消除了每个类别的两个主题之后,这种相关性显着增加;在年长的初中类别中,它甚至达到了统计显着性水平(r =-0.65)。结果表明,社会学领域的原始专家建模程序值得进一步的研究关注,不仅应在从事这项运动的其他对象的更大样本上进行验证。

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