APS
2023 APS Annual Convention · 2023
The Affect Misattribution Procedure (AMP) Measures Evaluations without Intention or Awareness
- Benedek Kurdi
University of Illinois - David Melnikoff
Stanford University - Jason Hannay
University of South Carolina Upstate - Arin Korkmaz
Yale University - Kent Lee
Northeastern University - Emily Ritchie
Yale University - Nicholas Surdel
Yale University - Heidi Vuletich
Indiana University Bloomington - Xin Yang
Yale University - Keith Payne
University of North Carolina at Chapel Hill - Melissa Ferguson
Yale University
Abstract
Across 7 experiments (N = 2,350), AMP effects were correlated with self-reports of prime influence even when influence was judged for third parties or primes were presented post-hoc; evaluatively extreme primes increased misattribution of AMP effects to target stimuli. These findings support the AMP's validity in measuring implicit evaluation.
Implicit Bias
