School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85281;
LAMB Project for Integrated Health and Development, Parbatipur 5250, Bangladesh.
Proc Natl Acad Sci U S A. 2018 Nov 6;115(45):11428-11434. doi: 10.1073/pnas.1721166115.
The many tools that social and behavioral scientists use to gather data from their fellow humans have, in most cases, been honed on a rarefied subset of humanity: highly educated participants with unique capacities, experiences, motivations, and social expectations. Through this honing process, researchers have developed protocols that extract information from these participants with great efficiency. However, as researchers reach out to broader populations, it is unclear whether these highly refined protocols are robust to cultural differences in skills, motivations, and expected modes of social interaction. In this paper, we illustrate the kinds of mismatches that can arise when using these highly refined protocols with nontypical populations by describing our experience translating an apparently simple social discounting protocol to work in rural Bangladesh. Multiple rounds of piloting and revision revealed a number of tacit assumptions about how participants should perceive, understand, and respond to key elements of the protocol. These included facility with numbers, letters, abstract number lines, and 2D geometric shapes, and the treatment of decisions as a series of isolated events. Through on-the-ground observation and a collaborative refinement process, we developed a protocol that worked both in Bangladesh and among US college students. More systematic study of the process of adapting common protocols to new contexts will provide valuable information about the range of skills, motivations, and modes of interaction that participants bring to studies as we develop a more diverse and inclusive social and behavioral science.
社会和行为科学家用来从人类同伴那里收集数据的许多工具,在大多数情况下,都是针对人类中一个极为稀少的子集进行磨练的:具有独特能力、经验、动机和社会期望的受过高等教育的参与者。通过这个磨练过程,研究人员制定了从这些参与者那里高效提取信息的方案。然而,随着研究人员向更广泛的人群扩展,这些高度精炼的方案是否能够适应技能、动机和预期社会互动模式方面的文化差异尚不清楚。在本文中,我们通过描述我们将一个看似简单的社会折扣协议翻译成孟加拉农村地区使用的经验,说明了在使用这些高度精炼的协议时可能出现的不匹配情况。多次试点和修订揭示了参与者应该如何感知、理解和响应协议关键要素的一些隐性假设。这些假设包括对数字、字母、抽象数字线和 2D 几何形状的熟悉程度,以及将决策视为一系列孤立事件的处理方式。通过实地观察和协作改进过程,我们开发了一种既适用于孟加拉国又适用于美国大学生的协议。更系统地研究将常见协议改编为新环境的过程,将为参与者在研究中带来的一系列技能、动机和互动模式提供有价值的信息,因为我们正在发展一个更加多样化和包容的社会和行为科学。