Between-rater reliability for using radar technology to quantify maximal horizontal deceleration performance in NCAA division 1 American football and female lacrosse athletes.

IF 2.3 Q2 SPORT SCIENCES Frontiers in Sports and Active Living Pub Date : 2024-07-01 eCollection Date: 2024-01-01 DOI:10.3389/fspor.2024.1384476
Nicolas M Philipp, Ben McKay, Ethan Martin, Dimitrije Cabarkapa, Andrew C Fry, Jordan Troester
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Abstract

Introduction: With recent increases in the popularity of studying the physical construct of horizontal deceleration performance in team-sport athletes, the aim of the present study was to assess the inter-rater and intra-rater reliability of processing and quantifying horizontal deceleration ability using radar technology.

Methods: Data from 92 NCAA Division 1 athletes from two different athletic teams (American football and Lacrosse) were used for the present investigation. All athletes performed two trials of the modified acceleration to deceleration assessment (ADA), which consisted of a maximal 10 m sprint acceleration, followed by a rapid deceleration. Four individual raters manually processed raw, radar-derived instantaneous velocity data for the ADA, and an automated script was used to calculate metrics of interest.

Results: Primary study findings suggest moderate to excellent levels of agreement (ICC = 0.56-0.91) for maximal horizontal deceleration metrics between the four individual raters. The intra-rater analyses revealed poor to excellent consistency (ICC = 0.31-0.94) between ADA trials, with CV%'s ranging from 3.1% to 13.2%, depending on the respective metric and rater.

Discussion: Our data suggests that if a foundational understanding and agreement of manual data processing procedures for radar-derived data is given between raters, metrics may be interpreted with moderate to excellent levels of confidence. However, when possible, and when using the Stalker ATS radar technology, authors recommend that practitioners use one trained individual to manually process raw data. Ideally, this process should become fully automated, based on selected filters or algorithms, rather than the subjectivity of the rater.

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使用雷达技术量化美国国家大学生体育协会美式橄榄球甲组和女子曲棍球运动员最大水平减速性能的评分者之间的可靠性。
导言:随着近年来研究团队运动运动员水平减速性能这一物理结构的普及,本研究旨在评估使用雷达技术处理和量化水平减速能力的评分者之间和评分者内部的可靠性:本研究使用了来自两支不同运动队(美式橄榄球队和长曲棍球队)的 92 名 NCAA 一级运动员的数据。所有运动员都进行了两次改良加减速评估(ADA)试验,其中包括最大 10 米冲刺加速,然后快速减速。四名评分员手动处理雷达瞬时速度原始数据,并使用自动脚本计算相关指标:初步研究结果表明,四名评分员之间在最大水平减速指标方面的一致性达到了中等到优秀的水平(ICC = 0.56-0.91)。评分者内部分析显示,ADA 试验之间的一致性从差到优(ICC = 0.31-0.94),CV% 介于 3.1% 到 13.2% 之间,具体取决于各个指标和评分者:讨论:我们的数据表明,如果评分者之间对雷达数据的人工数据处理程序有基本的了解并达成一致,那么对度量指标的解释就可能具有中等到极好的可信度。不过,在可能的情况下,以及在使用 Stalker ATS 雷达技术时,作者建议从业人员使用一个受过训练的人来手动处理原始数据。理想情况下,这一过程应完全自动化,以选定的过滤器或算法为基础,而不是以评分者的主观性为基础。
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来源期刊
CiteScore
2.60
自引率
7.40%
发文量
459
审稿时长
15 weeks
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