Hopfinger Joseph B
a Department of Psychology & Neuroscience , University of North Carolina at Chapel Hill , Chapel Hill , NC , USA.
Cogn Neurosci. 2017 Jul;8(3):145-147. doi: 10.1080/17588928.2017.1297296. Epub 2017 Mar 7.
Slotnick (this issue) makes a strong case that any attempt to assess the reliabiltiy of statistical correction procedures should use truly random data. In addition, however, there is an important side effect of the over-reliance on any given threshold to determine the worth of an experiment. Placing too much faith in any method of correction obscures the point that replication across labs remains a most critical part of scientific study. Especially for expensive methods, such as fMRI, an overemphasis on increasingly conservative thresholds can negatively impact the potential for replication of studies and the pursuit and reporting of innovative results.
斯洛特尼克（本期）有力地论证了，任何评估统计校正程序可靠性的尝试都应使用真正随机的数据。然而，除此之外，过度依赖任何给定阈值来确定一项实验的价值还有一个重要的副作用。对任何校正方法过度信赖会掩盖这样一个事实，即跨实验室的重复验证仍然是科学研究中最关键的部分。特别是对于功能磁共振成像等昂贵的方法，过度强调越来越保守的阈值可能会对研究的可重复性以及创新结果的探索和报告产生负面影响。
