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An investigation of a developmental sequence of the standing long jump using multidimensional scaling

机译:利用多维标度法研究站立跳远的发展顺序

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摘要

The purpose of this study was to investigate a staging sequence of the standing long jump. Kinematic, kinetic, and anthropometric data on thirty-three subjects (25 males and 8 females) between the ages of 4 and 7 years was collected. Variables included those parameters that were identified by Seefeldt et al. (1972) as differentiating between stages of development in their whole-body configuration model of the standing long jump. High-speed cinematography, force platforms, and various anthropometric instruments were used for data collection.;Data was reduced and analyzed using multivariate analysis of variance, univariate (ONE-WAY) analysis of variance, multidimensional scaling, and individual difference scaling. Multivariate and univariate statistics were used to determine differences between stages of motor skill proficiency in the standing long jump between all variables. Multidimensional scaling and individual difference scaling were used to investigate the validity of the staging sequence as a construct for the assessment and instruction of the motor skill.;The results indicated that the main observable variables that differentiate between the stages of motor ability were (1) position of the body at the moment of landing, (2) the distance jumped, (3) the resultant acceleration of the thighs, (4) the resultant acceleration of the trunk, (5) the resultant acceleration of the arms, (6) the resultant acceleration of the forearms, and (7) the resultant segmental force contributions of the forearms.;The results of the multidimensional scaling and individual difference scaling suggested that the set of variables identified by Seefeldt et al. (1972) did not produce a clear differentiation between stages, and the variable(s) that underlie the progression of an individual from one stage to another could not be identified using this set of variables. Therefore, a subset of five variables were selected for further interpretation based upon their ability to differentiate between stages as evidenced by the univariate tests. This subset included (1) position of the body at landing, (2) acceleration of the thighs, (3) acceleration of the trunk, (4) acceleration of the arms, and (5) acceleration of the forearms.;Using this subset of variables, the individual difference scaling procedure was repeated and revealed a linear pattern of stage membership. This pattern showed a progression from stage 1 to stage 4 and was complimented by a cluster analysis that showed excellent discrimination between stages. Age was found to correlate significantly with the subject's stimulus weights generated by the individual difference scaling. This lead to the conclusion that the progression from one stage to another is an age-related phenomenon. Multidimensional scaling was found to be a useful tool to investigate the construct of a developmental motor sequence. The implications of these results for teachers of the fundamental motor skill (standing long jump) were discussed.
机译:这项研究的目的是调查站立跳远的阶段顺序。收集了4至7岁年龄段的33位受试者(25位男性和8位女性)的运动学,动力学和人体测量学数据。变量包括Seefeldt等人确定的那些参数。 (1972年)在站立跳远的整体构型模型中区分了发展阶段。高速摄影,测力平台和各种人体测量仪器用于数据收集。;使用方差的多元分析,方差的单变量(ONE-WAY),多维标度和个体差异标度对数据进行简化和分析。多变量和单变量统计量用于确定所有变量之间站立式跳远中运动技能水平各阶段之间的差异。多维标度和个体差异标度用于研究分期序列作为评估和指导运动技能的基础的有效性。;结果表明,区分运动能力各阶段的主要可观察变量为(1)着陆时身体的位置,(2)跳跃的距离,(3)大腿的合成加速度,(4)躯干的合成加速度,(5)手臂的合成加速度,(6) (7)前臂的分段力贡献。多维标度和个体差异标度的结果表明,Seefeldt等人确定的变量集。 (1972年)没有在阶段之间产生明显的区分,并且使用这组变量无法识别出个体从一个阶段发展到另一个阶段的变量。因此,根据单变量检验所证明的区分变量的能力,选择了五个变量的子集进行进一步解释。该子集包括(1)着陆时的身体位置,(2)大腿的加速度,(3)躯干的加速度,(4)手臂的加速度和(5)前臂的加速度。对于变量,重复个体差异缩放过程,并显示阶段成员资格的线性模式。这种模式显示了从阶段1到阶段4的进展,并得到了聚类分析的补充,聚类分析显示了各个阶段之间的出色区分。发现年龄与个体差异缩放所产生的受试者的刺激权重显着相关。由此得出结论,从一个阶段发展到另一个阶段是与年龄有关的现象。发现多维缩放是研究发育运动序列的构造的有用工具。讨论了这些结果对基本运动技能(站立跳远)教师的影响。

著录项

  • 作者

    Wilson, Daniel James.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Physical education.
  • 学位 Ph.D.
  • 年度 1993
  • 页码 110 p.
  • 总页数 110
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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