DESIGNING FOR DIVERSITY: INCLUSIVE SAMPLING
DESIGNING FOR DIVERSITY: INCLUSIVE SAMPLING
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DOI：
10.22570/ergodesignhci.v9i1.1502
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
Rod D. Roscoe
中科院分区：
文献类型：
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作者：
Rod D. Roscoe
人因和人体工程学（HF/E）及相关领域的专家有能力和责任广泛地服务于不同人群的需求和目标，其中包括包容、公平和正义问题。重要的是，高频/电子设计人员、研究人员和从业人员可以将这些目标作为他们工作的预期结果和工作本身的实施方式。这两种途径都支持朝着更加包容和公平的组织和社会迈进。本文重点讨论了包容性方法的一个方面——包容性抽样策略。抽样是一个重要的焦点，因为它在确定调查结果的内部和外部有效性方面起着根本作用。此外，抽样是不同的参与者和观点被纳入（或不纳入）的方式，因此代表了排斥、不平等或不可接近可能表现的早期方式。本文简要阐述了三个启发式问题和六套策略：(1)有目的抽样，(2)过度抽样，(3)社区抽样，(4)消除距离、成本、沟通和意识的障碍，(5)建立信任，(6)包容性人口分类。本文引用了各种来源，以方便读者在自己的高频/电子工作中进一步考虑这些问题。
Experts in human factors and ergonomics (HF/E) and related fields have the ability and responsibility to broadly serve the needs and goals of diverse people, which encompasses issues of inclusion, equity, and justice. Importantly, HF/E designers, researchers, and practitioners can address these aims both as the intended outcomes of their work and how the work itself is conducted. Both pathways support progress toward more inclusive and equitable organizations and societies. This paper focuses upon one aspect of inclusive methodology—strategies for inclusive sampling. Sampling is an important focus because of its fundamental role in defining the internal and external validity of findings. Moreover, sampling is how diverse participants and perspectives are incorporated (or not), and thus represents an early way that exclusion, inequity, or inaccessibility may manifest. Three heuristic questions and six sets of strategies are briefly articulated: (1) purposive sampling, (2) oversampling, (3) community sampling, (4) removing barriers of distance, cost, communication, and awareness, (5) building trust, and (6) inclusive demographic categories. A variety of sources are cited to facilitate readers’ further consideration of these issues in their own HF/E endeavors.