数字途径超越以西方为中心的参与者.
Edmond Awad1,2,3
1Department of Economics, University of Exeter, Exeter, UK. e.awad@exeter.ac.uk.
Behavior research methods
|July 18, 2025
概括
社会科学研究仍然超出了西方,受过教育,工业化,富有和民主 (WEIRD) 个人的样本. 本文探讨了数字工具,以克服采样偏见,并包括多样化的全球参与者在研究中.
科学领域:
- 社会和行为科学 社会和行为科学
- 心理学 心理学 心理学
- 人类学是人类学.
背景情况:
- 2010年由Henrich等人撰写的开创性文章. 突出了社会和行为科学研究中西方,受过教育,工业化,富有和民主 (WEIRD) 个体的过量采样.
- 尽管有意识,但最近的评论显示持续的抽样偏见,在领先的心理学期刊中,来自非西方国家的参与者的比例很低.
- 这种对WEIRD种群的依赖限制了研究结果的概括性.
研究的目的:
- 为了解决社会和行为科学中对 WEIRD 种群的持续抽样偏见.
- 探索数字时代在促进与多样化,非WEIRD参与者的研究方面的潜力.
- 为全球包容性研究提供数字工具的概述,并讨论它们的优缺点.
主要方法:
- 关于社会科学中的抽样偏见的文献综述.
- 识别和分析参与者招聘的数字工具和平台.
- 对各种数字工具的优缺点进行定性评估.
主要成果:
- 数字时代为招募来自不同,非WEIRD背景的参与者提供了众多机会.
- 各种数字工具可以促进和支持全球社会科学研究.
- 每个工具都有独特的优点和缺点,需要仔细考虑.
结论:
- 社会科学中持续存在的抽样偏见需要积极的干预.
- 数字工具提供了可行的解决方案,以增强参与者的多样性和研究中的全球代表性.
- 研究人员应该批判性地评估和战略性地使用数字工具,以减轻WEIRD采样偏见.
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