Getting Explicit About the Implicit

Getting Explicit About the Implicit
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DOI:
10.1177/1094428112442750
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发表时间:
2012-05
影响因子:
9.5
通讯作者:
E. Uhlmann;Keith Leavitt;Jochen I. Menges;Joel Koopman;Michael Howe;Russell E. Johnson
E. Uhlmann;Keith Leavitt;Jochen I. Menges;Joel Koopman;Michael Howe;Russell E. Johnson
中科院分区:
管理学1区
文献类型:
--
作者:
E. Uhlmann;Keith Leavitt;Jochen I. Menges;Joel Koopman;Michael Howe;Russell E. Johnson

文献摘要

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来自社会和认知心理学的累积证据表明,许多行为是由意识之外的过程驱动的,并且已经开发了一系列用于捕获这些过程的内隐测量。尽管其潜在的应用,隐含的措施得到了组织科学内的关注相对有限,部分原因是进入壁垒和不确定性适当使用现有的措施。目前的文章旨在为组织学者提供一个隐含的测量“工具箱”,因此我们的目标有四个。首先,我们提出的理论关键的内隐措施,突出的优势,在组织研究中捕捉内隐过程。其次,我们提出了一个功能分类的隐式措施(即,基于可访问性、基于关联性和基于解释性的测量),并阐明假设和每种测量的适当使用。第三,我们讨论的关键标准,以帮助研究人员确定具体的内隐措施最适合自己的工作,包括讨论的原则,内隐措施的心理测量验证。第四,我们的结论是确定有影响力的“下一代”的组织科学研究,将受益于使用隐式措施的途径。
Accumulated evidence from social and cognitive psychology suggests that many behaviors are driven by processes operating outside of awareness, and an array of implicit measures to capture such processes have been developed. Despite their potential application, implicit measures have received relatively modest attention within the organizational sciences, due in part to barriers to entry and uncertainty about appropriate use of available measures. The current article is intended to serve as an implicit measurement “toolkit” for organizational scholars, and as such our goals are fourfold. First, we present theory critical to implicit measures, highlighting advantages of capturing implicit processes in organizational research. Second, we present a functional taxonomy of implicit measures (i.e., accessibility-based, association-based, and interpretation-based measures) and explicate assumptions and appropriate use of each. Third, we discuss key criteria to help researchers identify specific implicit measures most appropriate for their own work, including a discussion of principles for the psychometric validation of implicit measures. Fourth, we conclude by identifying avenues for impactful “next-generation” research within the organizational sciences that would benefit from the use of implicit measures.