2021
DOI: 10.1080/00224545.2021.1975619
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Implicit bias predicts less willingness and less frequent adoption of Black children more than explicit bias

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Cited by 6 publications
(3 citation statements)
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“…In addition to health disparities, regional racial bias has been linked to a wide variety of other outcomes and population characteristics in the United States. Black children are adopted from foster care at lower rates in states with higher levels of racial bias (Bell et al, 2021). In the context of education, Black students are disciplined more and perform worse on tests than White students in counties where teachers are more racially biased (Chin et al, 2020) and where residents are more racially biased (Riddle & Sinclair, 2019), and achievement gaps between Black and White students are larger in counties were residents are more racially biased (Pearman, 2021).…”
Section: Regional Racial Biasmentioning
confidence: 99%
“…In addition to health disparities, regional racial bias has been linked to a wide variety of other outcomes and population characteristics in the United States. Black children are adopted from foster care at lower rates in states with higher levels of racial bias (Bell et al, 2021). In the context of education, Black students are disciplined more and perform worse on tests than White students in counties where teachers are more racially biased (Chin et al, 2020) and where residents are more racially biased (Riddle & Sinclair, 2019), and achievement gaps between Black and White students are larger in counties were residents are more racially biased (Pearman, 2021).…”
Section: Regional Racial Biasmentioning
confidence: 99%
“…Recent work has suggested that another implicit measure, the IAT (Implicit Association Test), might best predict outcomes at the aggregate level (Connor & Evers, 2020; Payne et al, 2017). For example, recent work has shown that although the effect size for the IAT predicting prejudice-related outcomes is small (although, notably, larger than that for explicit evaluations; Kurdi et al, 2019), implicit measures reliably predict regional outcomes such as the use of police force, health disparities, and adoption decisions (Bell et al, 2021; Hehman et al, 2018; Leitner et al, 2018). Perhaps due to measurement characteristics (Connor & Evers, 2020), it could be useful to continue to examine when different types of implicit measures predict outcomes in the aggregate versus individual level.…”
Section: Discussionmentioning
confidence: 99%
“…Bias can be innate or learned through social and cultural biases; however, anchoring to stereotypes, holding onto generic views, overrepresentation and misinterpreting research or people’s narratives can hinder reflection. Engaging in these examples of bias results in excluding potential adoptive parents – particularly those from minoritised ethnic groups (Barn and Kirton, 2012; Bell et al., 2021).…”
Section: Introductionmentioning
confidence: 99%