Psychology Department, Heidelberg University.
Perspect Psychol Sci. 2021 Jul;16(4):816-826. doi: 10.1177/1745691620970602. Epub 2021 Jan 13.
The current debate about how to improve the quality of psychological science revolves, almost exclusively, around the subordinate level of statistical significance testing. In contrast, research design and strict theorizing, which are superordinate to statistics in the methods hierarchy, are sorely neglected. The present article is devoted to the key role assigned to manipulation checks (MCs) for scientific quality control. MCs not only afford a critical test of the premises of hypothesis testing but also (a) prompt clever research design and validity control, (b) carry over to refined theorizing, and (c) have important implications for other facets of methodology, such as replication science. On the basis of an analysis of the reality of MCs reported in current issues of the , we propose a future methodology for the post- < .05 era that replaces scrutiny in significance testing with refined validity control and diagnostic research designs.
目前关于如何提高心理科学质量的争论几乎完全围绕着统计学意义检验的次要层次展开。相比之下,在方法学层次中高于统计学的研究设计和严格的理论化却被严重忽视。本文致力于为科学质量控制分配关键作用的操作检查 (MCs)。MCs 不仅对假设检验的前提提供了关键测试,而且 (a) 促使了巧妙的研究设计和有效性控制,(b) 延续到精细化的理论化,以及 (c) 对诸如复制科学等方法学的其他方面具有重要意义。基于对当前《心理科学》期刊中报告的 MCs 的现实分析,我们提出了一个用于后 <.05 时代的未来方法论,该方法用精细化的有效性控制和诊断研究设计取代了对显著性检验的审查。