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简化 ERP 的 Jackknifing 并从中获得更多信息:检索参与者潜伏期的估计值。

Simplifying jackknifing of ERPs and getting more out of it: retrieving estimates of participants' latencies.

机构信息

Department of Psychology, Maastricht University, Maastricht, The Netherlands.

出版信息

Psychophysiology. 2010 Mar 1;47(2):387-92. doi: 10.1111/j.1469-8986.2009.00934.x. Epub 2009 Dec 7.

DOI:10.1111/j.1469-8986.2009.00934.x
PMID:20003147
Abstract

Abstract Research has demonstrated that the jackknifing procedure for estimating ERP latencies (J. Miller, T. Patterson, & R. Ulrich, 1998) yields more accurate estimates of differences between experimental conditions in ERP latency than other methods. However, the scores resulting from this procedure require special adjustments for further analyses and do not directly reflect each participant's latency. Here, a simple transform is proposed that retrieves estimates of each participant's latency from the subaverage scores, rendering further adjustments superfluous. Other advantages of working with participants' latencies are discussed. Results of simulations support the validity of jackknifing and the retrieval transform.

摘要

摘要 研究表明,用于估计 ERP 潜伏期的叉开程序(J. Miller、T. Patterson 和 R. Ulrich,1998)比其他方法更能准确估计 ERP 潜伏期实验条件之间的差异。然而,该程序得出的分数需要进行特殊调整才能进行进一步的分析,并且不能直接反映每个参与者的潜伏期。这里提出了一种简单的转换方法,可以从子平均值中提取每个参与者潜伏期的估计值,从而使进一步的调整变得多余。还讨论了使用参与者潜伏期的其他优点。模拟结果支持叉开和检索转换的有效性。

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