What is it about?

In this commentary, we welcome Schimmack’s re-analysis of Bar-Anan and Vianello’s (2018) Multi-Trait Multi-Method (MTMM) dataset, and highlight some limitations of both the original and the secondary analyses. We argue that Schimmack’s re-analyses of our data (Bar-Anan & Vianello, 2018) are insufficient to cast doubt on the IAT as a measure of automatic judgment. We note other reasons why the validation of the IAT is still incomplete, but conclude that, currently, the IAT is the best available candidate for measuring automatic judgment at the person level.

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Why is it important?

This commentary was written to provide readers with a balanced view on the current status of scientific research on IAT's validity.

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This page is a summary of: Can the Implicit Association Test Measure Automatic Judgment? The Validation Continues, Perspectives on Psychological Science, February 2020, SAGE Publications,
DOI: 10.1177/1745691619897960.
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