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Health of the Implicit Association Test at age 3
1Department of Psychology, University of Washington, Box 351525, Seattle, WA 98195-1525, USA. agg@u.washington.edu
Summary
The Implicit Association Test (IAT) effectively measures implicit attitudes and automatic associations, demonstrating good validity. Findings suggest IAT measures distinct constructs compared to self-report methods.
Area of Science:
- Psychology
- Social Psychology
- Cognitive Science
Background:
- The Implicit Association Test (IAT), developed in 1998, is widely used to assess implicit attitudes and automatic associations.
- While some criticisms exist, a growing body of evidence supports the IAT's validity.
- This special issue presents new research contributing to the understanding of IAT's psychometric properties.
Purpose of the Study:
- To evaluate the convergent and discriminant validity of the Implicit Association Test (IAT).
- To examine the relationship between IAT-derived measures of attitudes and explicit self-report measures.
- To synthesize recent evidence on the IAT's utility in psychological research.
Main Methods:
- Review of existing literature on the Implicit Association Test (IAT).
- Inclusion of new empirical studies presented in this special issue.
- Analysis of correlations between IAT measures and explicit self-report measures.
Main Results:
- Substantial evidence supports the convergent and discriminant validity of the IAT.
- IAT attitude measures frequently show weak correlations with explicit self-report measures of the same constructs.
- New evidence presented in this issue further corroborates the IAT's validity.
Conclusions:
- The Implicit Association Test (IAT) is a valuable tool for measuring implicit associations.
- IAT measures assess psychological constructs that are often distinct from those measured by self-report.
- Continued research supports the IAT's role in understanding automatic cognitive processes.