Gelman Andrew, Geurts Hilde M
a Department of Statistics , Columbia University , New York , NY , USA.
b Department of Political Science , Columbia University , New York , NY , USA.
Clin Neuropsychol. 2017 Aug-Oct;31(6-7):1000-1014. doi: 10.1080/13854046.2016.1277557. Epub 2017 Jan 11.
There is currently increased attention to the statistical (and replication) crisis in science. Biomedicine and social psychology have been at the heart of this crisis, but similar problems are evident in a wide range of fields. We discuss three examples of replication challenges from the field of social psychology and some proposed solutions, and then consider the applicability of these ideas to clinical neuropsychology. In addition to procedural developments such as preregistration and open data and criticism, we recommend that data be collected and analyzed with more recognition that each new study is a part of a learning process. The goal of improving neuropsychological assessment, care, and cure is too important to not take good scientific practice seriously.
目前,科学界对统计(及重复验证)危机的关注度日益提高。生物医学和社会心理学一直是这场危机的核心,但类似问题在广泛的领域中都很明显。我们讨论了社会心理学领域重复验证挑战的三个例子以及一些提出的解决方案,然后考虑这些想法在临床神经心理学中的适用性。除了诸如预注册、开放数据和批评等程序上的进展外,我们建议在收集和分析数据时,要更多地认识到每项新研究都是学习过程的一部分。改善神经心理学评估、护理和治疗的目标太重要了,不能不认真对待良好的科学实践。