在体育和运动科学中参与者分类的可靠性:McKay等人的应用. " (2022) 框架规划"中的一个
Luke Wilkins1, David Broadbent2, Lyndell Bruce2
1Sports, Performance, and Nutrition (SPAN) Research Group, La Trobe University, Melbourne, Australia.
Journal of sports sciences
|October 6, 2025
概括
分类体育和运动科学 (SES) 研究样本至关重要. 这项研究发现参与者分类框架 (PCF) 可靠,但目前的报告标准需要改进,以实现一致的样本分类.
科学领域:
- 体育和运动科学 (SES)
- 研究方法研究方法研究方法学
- 数据分类数据分类
背景情况:
- 在SES研究中,准确的样本分类对于解释和应用发现至关重要.
- 清晰的"参与者"部分和分类框架对于一致性至关重要.
- 麦凯和其他人. (2022) 参与者分类框架 (PCF) 为这一过程提供了结构.
研究的目的:
- 通过使用PCF评估样本分类的inter-和intra-rater可靠性.
- 评估PCF对130个体育和运动科学手稿的应用.
- 确定参与者报告标准的挑战和改进领域.
主要方法:
- 四位经验丰富的学者将PCF应用到130个SES手稿中.
- 使用权重的科恩卡帕分析来确定评审者之间的和评审者内部的可靠性.
- 分析了影响分类协议的手稿特征.
主要成果:
- 评价者之间的可靠性在0.34 (公平) 到0.74 (实质性) 之间.
- 评价者内部的可靠性从0.54 (中等) 到0.90 (几乎完美) 之间.
- 对样本大小,运动类型和模糊的性别分布的不完整报告导致了"不清楚"的分类.
结论:
- PCF表现出强大的内部可靠性和可重复的分类.
- 目前在SES研究中的参与者报告标准不足以实现PCF的一致应用.
- 为了提高清晰度和可比性,提出了九项"SES研究样本分类的关键标准".
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