Awad Edmond
Department of Economics, University of Exeter, Exeter, UK.
Uehiro Oxford Institute, University of Oxford, Oxford, UK.
Behav Res Methods. 2025 Jul 18;57(8):229. doi: 10.3758/s13428-025-02751-x.
In 2010, Henrich and colleagues published a seminal article in which they noted that (1) studies in social and behavioural sciences oversample from Western, educated, industrialised, rich, and democratic (WEIRD) individuals, and (2) WEIRD subjects are particularly unusual compared to the rest of the world population with respect to several factors. Despite the positive reception of this article, not much has changed in the years to follow. For instance, reviews of recent papers in leading psychology journals reveal that only a small proportion of the studied samples originate from non-Western countries. This sampling bias cannot be excused for lack of means. The digital age has opened several opportunities to facilitate and support social science research with subjects from non-WEIRD backgrounds. In this article, I provide an overview of such tools and comment on the advantages and disadvantages of each.
2010年，亨利希及其同事发表了一篇具有开创性的文章，他们在文中指出：（1）社会和行为科学研究过度抽取来自西方、受过教育、工业化、富裕和民主（WEIRD）的个体作为样本；（2）与世界其他人口相比，WEIRD受试者在几个因素方面尤为特殊。尽管这篇文章受到了积极欢迎，但在随后的几年里并没有太大变化。例如，对顶级心理学杂志近期论文的综述表明，所研究样本中只有一小部分来自非西方国家。这种抽样偏差不能以缺乏手段为借口。数字时代为促进和支持对非WEIRD背景受试者的社会科学研究提供了若干机会。在本文中，我将概述此类工具，并对每种工具的优缺点进行评论。
