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普遍性约束(COG):所有实证论文的一个建议补充。

Constraints on Generality (COG): A Proposed Addition to All Empirical Papers.

机构信息

1 University of Illinois.

2 University of Washington.

出版信息

Perspect Psychol Sci. 2017 Nov;12(6):1123-1128. doi: 10.1177/1745691617708630. Epub 2017 Aug 30.

Abstract

Psychological scientists draw inferences about populations based on samples-of people, situations, and stimuli-from those populations. Yet, few papers identify their target populations, and even fewer justify how or why the tested samples are representative of broader populations. A cumulative science depends on accurately characterizing the generality of findings, but current publishing standards do not require authors to constrain their inferences, leaving readers to assume the broadest possible generalizations. We propose that the discussion section of all primary research articles specify Constraints on Generality (i.e., a "COG" statement) that identify and justify target populations for the reported findings. Explicitly defining the target populations will help other researchers to sample from the same populations when conducting a direct replication, and it could encourage follow-up studies that test the boundary conditions of the original finding. Universal adoption of COG statements would change publishing incentives to favor a more cumulative science.

摘要

心理学科学家根据人群、情境和刺激的样本对人群进行推断。然而,很少有论文确定其目标人群,更少的论文证明测试样本如何或为何具有代表性。累积科学取决于准确描述发现的普遍性,但当前的出版标准不要求作者限制他们的推断,这使得读者不得不假设最广泛的概括。我们建议,所有主要研究文章的讨论部分都应具体说明普遍性限制(即“COG”陈述),以确定和证明报告结果的目标人群。明确界定目标人群将有助于其他研究人员在进行直接复制时从相同的人群中抽样,并可能鼓励后续研究来检验原始发现的边界条件。普遍采用 COG 陈述将改变出版激励措施,有利于更具累积性的科学。

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