基本稳定性技能:使用阿尔法莫夫评估工具进行可靠性分析
Eva Santos-Miranda1,2,3, Aida Carballo-Fazanes1,2,4, Ezequiel Rey5
1CLINURSID Research Group, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.
Children (Basel, Switzerland)
|May 25, 2024
概括
阿尔法莫夫应用程序可靠地评估儿童的基本运动稳定技能. 该工具适用于各种专业人士,即使是那些在运动能力评估方面经验有限的人.
科学领域:
- 儿科运动发展 儿科运动发展
- 运动科学运动科学
- 健康和体育教育的健康和体育教育.
背景情况:
- 基本运动技能 (FMS) 对于终身健康至关重要,包括运动,物体控制和稳定技能.
- 稳定性技能是FMS的关键组成部分,与其他FMS类别相比,在评估可靠性方面研究较少.
- 准确评估FMS,特别是稳定技能,对于有针对性的干预和监测儿童运动发育至关重要.
研究的目的:
- 为了评估使用Alfamov应用程序评估的五种稳定性技能的测试-重新测试,内部测试和内部测试可靠性.
- 确定阿尔法莫夫工具适用于评估儿童的稳定性技能在不同的评估者专业知识水平的适用性.
主要方法:
- 84名健康的小学生 (6-12岁) 通过阿尔法莫夫应用程序评估了5种稳定性技能.
- 四名评分员 (两名专家,两名新手) 评分了孩子们的表现.
- 类内相关系数 (ICC) 用于分析可靠性 (测试-重新测试,内部测试,内部测试).
主要成果:
- 阿尔法莫夫应用程序在稳定性技能方面表现出良好的内部可靠性和出色的内部可靠性.
- 实现了中等到良好的测试重试可靠性.
- 这些发现表明,使用阿尔法莫夫工具对稳定性技能进行了一致和可靠的测量.
结论:
- 阿尔法莫夫应用程序是一个强大的和可靠的工具,用于评估儿童的基本运动稳定性技能.
- 它在不同评级机构的高可靠性表明,不同经验水平的专业人士可以有效地使用它.
- 这证实阿尔法莫夫是评估和支持儿童运动能力发展的宝贵工具.
关键词:
协议 协议 协议 协议 协议评估评估的评估评估的评估.基本的运动技能 基本的运动技能评价者之间的可靠性.机器人内部的可靠性评级人员是评级人员.稳定技能 稳定技能 稳定技能测试 复试 可靠性测试更多相关视频
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