School of Behavioural and Health Sciences, Australian Catholic University, Australia.
School of Behavioural and Health Sciences, Australian Catholic University, Australia.
J Sci Med Sport. 2022 Apr;25(4):340-344. doi: 10.1016/j.jsams.2021.11.044. Epub 2021 Nov 26.
(1) Determine the inter-device and inter-manufacturer reliability; and (2) investigate the variation in reliability over time for common global navigation satellite systems.
Repeated measures.
A total of twenty 10-Hz devices manufactured by StatSports (n = 10, Apex Pro; StatSports, Newry, Ireland) and Catapult Sports (n = 10, Vector S7; Catapult Sports, Melbourne, Australia) were towed on a sprint sled during 8 × 40-minute team sport movement protocol over a 4-week period. The coefficient of variations for distance, velocity and acceleration/deceleration metrics were calculated to show dispersion of the data relative to the mean or median for each manufacturer and interpreted as good, ≤5%; moderate, <10%; and poor, coefficient of variation ≥10%. The coefficient of variation range described the variation in reliability and was interpreted as small, ≤5%; moderate, <10% and large, ≥10%. Inter-manufacturer agreement was represented as a Cohen d (±95% confidence interval) standardised effect size.
Inter-device reliability for distance, peak velocity and average acceleration was good (coefficient of variation = 0.1 to 3.9%) for both manufacturers, with small variation across sessions. For most threshold-based acceleration and deceleration counts, StatSports devices showed good to moderate reliability, with moderate variation across sessions; Catapult showed good to poor reliability, with large variation across sessions. Inter-manufacturer agreement demonstrated moderate to very large effect sizes reported for most metrics.
Reliability was suitable and consistent for measures of distance, velocity, and average acceleration. StatSports devices generally possessed suitable reliability and consistency for threshold-based accelerations and decelerations, though Catapult devices did not. Most metrics should not be compared between manufacturers.
（1）确定设备间和制造商间的可靠性；（2）研究常见全球导航卫星系统的可靠性随时间的变化。
重复测量。
总共 20 个 10Hz 设备由 StatSports（n=10，Apex Pro；StatSports，Newry，爱尔兰）和 Catapult Sports（n=10，Vector S7；Catapult Sports，墨尔本，澳大利亚）制造，在 4 周内，使用 Sprint Sled 在 8×40 分钟的团队运动协议中进行了 8 次测试。每个制造商的距离、速度和加速度/减速度指标的变异系数用于表示数据相对于平均值或中位数的分散程度，解释为良好，≤5%；中度，<10%；较差，变异系数≥10%。变异系数范围描述了可靠性的变化，解释为小，≤5%；中度，<10%和大，≥10%。制造商间的一致性表示为 Cohen d（±95%置信区间）标准化效应大小。
对于距离、峰值速度和平均加速度，两个制造商的设备间可靠性均为良好（变异系数为 0.1 至 3.9%），各次测试之间的变化较小。对于大多数基于阈值的加速度和减速度计数，StatSports 设备的可靠性为良好至中度，各次测试之间的变化为中度；Catapult 设备的可靠性为良好至较差，各次测试之间的变化为较大。大多数指标的制造商间一致性表现出中度至非常大的效应大小。
距离、速度和平均加速度的测量可靠性和一致性均良好。StatSports 设备的基于阈值的加速度和减速度的可靠性和一致性通常良好，而 Catapult 设备则不然。大多数指标不应在制造商之间进行比较。
