Inside Our Research on Intersecting Implicit Attitudes
The first part of this project involved developing, testing, and piloting the Intersecting Disability and Race Implicit Association Test (IDRA-IAT). The second part involved using the IDRA-IAT with health care professionals to examine their biases and factors that contribute to their attitudes.
Part I: Development of the IDRA-IAT
We found that people implicitly preferred nondisabled white people the most, then disabled white people the second most, then nondisabled people of color, then disabled people of color the least. By looking at intersecting attitudes we’re able to see a lot more nuance in people’s implicit attitudes, including that whiteness really impacted view of disability and how much white disabled people were favored. The IDRA-IAT also had similar psychometrics (i.e., internal consistency, test-retest correlation, and construct validity) to other IATs. The IDRA-IAT is publicly available if you want to test your own attitudes or for researchers who want to use it to examine bias.
Part II: Health Care Professionals’ Attitudes
We had 784 health care professional who work with people with intellectual and developmental disabilities (in addition to other populations) take the IDRA-IAT and answer questions about their experience and knowledge. Results coming soon!
Funding
This research was funded by a grant from the WITH Foundation.
WITH Foundation
The mission of WITH Foundation is to promote the establishment of comprehensive healthcare for adults with developmental disabilities that is designed to address their unique and fundamental needs.
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Take An Intersectional Implicit Association Test
The more we know about how we think, the better equip we are to improve our attitudes! The Intersecting Disability and Race Attitudes Implicit Association Test (IDRA-IAT) is a way to find out the unconscious associations you may make about disability and race. The Intersecting Disability and Gender Attitudes Implicit Association Test (IDGA-IAT) examines disability and gender.
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