Department of Psychology.
Hist Psychol. 2022 Feb;25(1):34-55. doi: 10.1037/hop0000202. Epub 2021 Sep 13.
Adolphe Quetelet was a Belgian polymath who aimed to advance aggregate-level statistical tools as a unifying framework for all scientific disciplines. In doing so, Quetelet adopted the astronomer's Law of Error (i.e., the normal distribution curve) and applied it to the study of moral and social phenomena in developing his notion of ). Quetelet further focused his attention on ) and, as such, argued that the average value of a distribution should be of primary concern in the study of human attributes. In the present article, I examine the influences that these ideas had on the methodological practices of late 19th- and early 20th- century psychologists. I illustrate how the dominant methodological approach implemented by psychologists in the early 20th century was deeply rooted in the demography of Quetelet's social statistics. In particular, I argue that psychologists' adoption of the Neo-Galtonian model of research was successful because it embraced Quetelet's determinism, emphasis on average values, and grouping of distributions based on type. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
阿道夫·凯特勒是一位比利时博学家,他旨在推进基于总体水平的统计工具,将其作为所有科学学科的统一框架。为此,凯特勒采用了天文学家的误差定律(即正态分布曲线),并将其应用于道德和社会现象的研究,从而提出了他的中心极限定理的概念。凯特勒进一步将注意力集中在平均人上,并认为在研究人类属性时,应该主要关注分布的平均值。在本文中,我考察了这些思想对 19 世纪末和 20 世纪初心理学家的方法论实践的影响。我举例说明了 20 世纪初心理学家实施的主流方法论方法是如何深深植根于凯特勒社会统计学的人口统计学的。具体来说,我认为心理学家对新高尔顿主义研究模型的采用之所以成功,是因为它接受了凯特勒的决定论、对平均值的重视以及基于类型的分布分组。(《心理学信息数据库》记录(c)2022 APA,保留所有权利)。