University of California, Los Angeles
University of California, Los Angeles.
Perspect Psychol Sci. 2009 May;4(3):299-307. doi: 10.1111/j.1745-6924.2009.01128.x.
Vul, Harris, Winkielman, and Pashler (2009), (this issue) claim that many brain-personality correlations in fMRI studies are "likely … spurious" (p. 274), and "should not be believed" (p. 285). Several of their conclusions are incorrect. First, they incorrectly claim that whole-brain regressions use an invalid and "nonindependent" two-step inferential procedure, a determination based on a survey sent to researchers that only included nondiagnostic questions about the descriptive process of plotting one's data. We explain how whole-brain regressions are a valid single-step method of identifying brain regions that have reliable correlations with individual difference measures. Second, they claim that large correlations from whole-brain regression analyses may be the result of noise alone. We provide a simulation to demonstrate that typical fMRI sample sizes will only rarely produce large correlations in the absence of any true effect. Third, they claim that the reported correlations are inflated to the point of being "implausibly high." Though biased post hoc correlation estimates are a well-known consequence of conducting multiple tests, Vul et al. make inaccurate assumptions when estimating the theoretical ceiling of such correlations. Moreover, their own "meta-analysis suggests that the magnitude of the bias is approximately .12-a rather modest bias.
沃尔夫、哈里斯、温克勒曼和帕歇尔(2009 年)(本期特刊)声称,在 fMRI 研究中,许多大脑-人格相关性“很可能……是虚假的”(第 274 页),并且“不应被相信”(第 285 页)。他们的几个结论是不正确的。首先,他们错误地声称全脑回归使用了无效且“非独立”的两步推断程序,这一结论是基于对研究人员进行的一项调查得出的,该调查仅包含关于绘制数据的描述过程的非诊断性问题。我们解释了全脑回归如何成为识别与个体差异测量具有可靠相关性的大脑区域的有效单步方法。其次,他们声称全脑回归分析中的大相关性可能仅仅是噪声的结果。我们提供了一个模拟来演示,在没有任何真实效果的情况下,典型的 fMRI 样本量很少会产生大的相关性。第三,他们声称报告的相关性被夸大到“难以置信的高”的程度。尽管偏置的事后相关性估计是进行多次测试的一个众所周知的后果,但 Vul 等人在估计这种相关性的理论上限时做出了不准确的假设。此外,他们自己的“荟萃分析表明,这种偏差的幅度约为.12-相当适度的偏差。”