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离散目标导向指向运动的轨迹分析:需要多少试验才能获得可靠的数据?

Trajectory analysis of discrete goal-directed pointing movements: How many trials are needed for reliable data?

机构信息

Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.

School of Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada.

出版信息

Behav Res Methods. 2018 Oct;50(5):2162-2172. doi: 10.3758/s13428-017-0983-6.

Abstract

A powerful tool in motor behavior research is trajectory analysis of discrete goal-directed pointing movements. The purpose of the present analysis was to estimate the minimum number of trials per participant required to achieve the conventional level of reliability for trajectory analysis. We analyzed basic measurements of movement and three common methods of trajectory analysis within the framework of generalizability theory. Generalizability studies were used to decompose the total variance of these variables into the percent contributions from person, trial, and the person-by-trial interaction. Decision studies were then used to determine the minimum number of trials required to achieve the conventional level of reliability. The number of trials per participant needed for reliable data of discrete goal-directed pointing movements depended on the dependent variable-for example, reaction times required six or ten trials, movement times required three trials, and constant error required 47 trials. For trajectory analysis, ten or fewer trials were required for reliable dependent variables during the first half of the movement (up to peak velocity or 70% of the displacement). The number of trials required for the second half of the movement rapidly increased to 47 trials at movement termination. This increase in the number of trials required for reliable analysis of the second half of the movement was indicative of online control. Finally, correlation analysis was performed with simulated correlations on subsets of trials, and all 32 trials were required. However, 18 trials might be used without a practically significant change in the correlations.

摘要

在运动行为研究中,轨迹分析是一种强大的工具,可用于离散目标导向的指向运动。本分析的目的是估计每个参与者完成轨迹分析常规可靠性所需的最小试验次数。我们在可概括性理论框架内分析了运动的基本测量值和三种常见的轨迹分析方法。使用可概括性研究将这些变量的总方差分解为来自个体、试验和个体与试验相互作用的百分比贡献。然后使用决策研究确定获得常规可靠性所需的最小试验次数。离散目标导向指向运动可靠数据所需的参与者试验次数取决于因变量;例如,反应时间需要 6 或 10 次试验,运动时间需要 3 次试验,而恒定误差需要 47 次试验。对于轨迹分析,在运动的前半部分(达到峰值速度或位移的 70%),可靠的依赖变量需要 10 次或更少的试验。运动结束时,后半部分运动所需的试验次数迅速增加到 47 次。后半部分运动可靠分析所需试验次数的增加表明存在在线控制。最后,在模拟试验子集上进行了相关分析,所有 32 次试验都需要。但是,如果相关系数没有明显变化,18 次试验可能就足够了。

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