Abstract
For more than 25 years, implicit measures have shaped research, theorizing, and intervention in psychological science. During this period, the development and deployment of implicit measures have been predicated on a number of theoretical, methodological, and applied assumptions. Yet these assumptions are frequently violated and rarely met. As a result, the merit of research using implicit measures has increasingly been cast into doubt. In this article, we argue that future implicit measures research could benefit from adherence to four guidelines based on a functional approach wherein performance on implicit measures is described and analyzed as behavior emitted under specific conditions and captured in a specific measurement context. We unpack this approach and highlight recent work illustrating both its theoretical and practical value.
Original language | English |
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Pages (from-to) | S223-S242 |
Journal | Social Cognition |
Volume | 38 |
DOIs | |
State | Published - Nov 2020 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2020 Guilford Publications, Inc.
Keywords
- Automaticity
- Behavior
- Implicit measures
- Levels of analysis