Estimating the statistical power to detect set-size effects in contralateral delay activity.
Estimating the statistical power to detect set-size effects in contralateral delay activity.
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DOI：
10.1111/psyp.13791
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发表时间：
2021-05
期刊：
影响因子：
3.7
通讯作者：
Awh E
中科院分区：
文献类型：
--
作者：
Ngiam WXQ;Adam KCS;Quirk C;Vogel EK;Awh E
对侧延迟活动（CDA）是一种事件相关电位成分，通常用于检查视觉工作记忆的在线过程。在这里，我们对使用 CDA 获得可靠且可重复的结果所需的统计功效进行了稳健的分析。使用两个非常大的 EEG 数据集来检查集合大小为 2 和 6 项以及集合大小为 2 和 4 项的 CDA 幅度之间的对比，我们提出了一种二次抽样分析，该分析根据 10,000 次迭代中显着测试的比例来估计不同数量的受试者和试验所实现的统计功效。我们还使用贝叶斯多级建模生成模拟数据，以估计超出原始数据集范围的功效。所需的试验和受试者数量主要取决于效果大小。检测 CDA（记忆期间对侧和同侧电极之间的可靠差异）的存在只需对 25 名受试者进行 30-50 次干净试验，即可获得约 80% 的统计功效。然而，为了检测两个组大小之间 CDA 幅度的差异，需要大量的试验和受试者；对 25 名受试者进行约 400 次清洁试验，以达到 80% 的功效。因此，为了对 CDA 活性在不同条件下的差异进行稳健测试，必须注意估计的效应大小。我们建议研究人员设计实验来检测 CDA 中的组大小差异，为每个受试者收集更多的试验。
The contralateral delay activity (CDA) is an event-related potential component commonly used to examine the online processes of visual working memory. Here, we provide a robust analysis of the statistical power that is needed to achieve reliable and reproducible results with the CDA. Using two very large EEG datasets that examined the contrast between CDA amplitude with set sizes 2 and 6 items and set sizes 2 and 4 items, we present a subsampling analysis that estimates the statistical power achieved with varying numbers of subjects and trials based on the proportion of significant tests in 10,000 iterations. We also generated simulated data using Bayesian multilevel modeling to estimate power beyond the bounds of the original datasets. The number of trials and subjects required depends critically on the effect size. Detecting the presence of the CDA—a reliable difference between contralateral and ipsilateral electrodes during the memory period—required only 30-50 clean trials with a sample of 25 subjects to achieve approximately 80% statistical power. However, for detecting a difference in CDA amplitude between two set sizes, a substantially larger number of trials and subjects were required; approximately 400 clean trials with 25 subjects to achieve 80% power. Thus, to achieve robust tests of how CDA activity differs across conditions, it is essential to be mindful of the estimated effect size. We recommend researchers designing experiments to detect set-size differences in the CDA collect substantially more trials per subject.
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影响因子：
3.7
作者：
Heuer A;Schubö A
通讯作者：
Schubö A
DOI：
10.1523/jneurosci.1339-10.2011
发表时间：
2011-01-12
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
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通讯作者：
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作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
Andrews TJ