Historically, the field of psychology has focused on racial biases at an individual level, considering the effects of various stimuli on individual racial attitudes and biases. This approach has provided valuable information, but not enough focus has been placed on the systemic nature of racial biases. In this Review, we examine the bidirectional relation between individual-level racial biases and broader societal systems through a systemic lens. We argue that systemic factors operating across levels - from the interpersonal to the cultural - contribute to the production and reinforcement of racial biases in children and adults. We consider the effects of five systemic factors on racial biases in the USA: power and privilege disparities, cultural narratives and values, segregated communities, shared stereotypes and nonverbal messages. We discuss evidence that these factors shape individual-level racial biases, and that individual-level biases shape systems and institutions to reproduce systemic racial biases and inequalities. We conclude with suggestions for interventions that could limit the effects of these influences and discuss future directions for the field.
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http://dx.doi.org/10.1038/s44159-023-00190-z | DOI Listing |
Med Sci Educ
December 2024
Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH USA.
Purpose: To examine the characteristics between virtual multiple mini-interview (vMMI) and in-person interviews (ipMMI) in regard to difference in performance between applicant-reported gender identity and racial groups.
Methods: Retrospective multiple mini-interview (MMI) data from two vMMI interview cycles (2021 and 2022) consisting of 627 applicants and four ipMMI cycles (2017-2020) consisting of 2248 applicants. Comparisons were made between applicant subgroups including reported gender (male and female) and minority status (URiM and non-URiM).
Anat Sci Educ
January 2025
Department of Educational Foundations & Leadership, Old Dominion University, Norfolk, Virginia, USA.
Educational and psychological research often involves comparing motivation across groups. It is critical to ensure that observed differences in motivation are true variations by group, not due to measurement biases. With a diverse sample of undergraduate students (N = 2200), this study measured internal consistency and gathered validity evidence based on the internal structure of five motivation scales.
View Article and Find Full Text PDFSoc Sci Med
December 2024
Jordan Schnitzer Museum of Art at the University of Oregon, Eugene, OR, USA. Electronic address:
Purpose: To create and implement a Whole Personhood in Medical Education curriculum including Visual Thinking Strategies (VTS), close reading, and creative practice that features creative works by BIPOC, persons with disability, and/or LGBTQ + individuals that aligns with educational competencies.
Materials And Methods: Curriculum design by an interdisciplinary team made up of physician educators, medical sociologist, digital collection librarian, and art museum educators. Prospective single arm intervention study at a single site academic teaching hospital.
J Cancer Policy
December 2024
Malignant Hematology/Bone Marrow Transplant, Miami Cancer Institute, Miami, FL, USA. Electronic address:
Introduction: This narrative review aims to identify and explore the social determinants that prevent people living with HIV (PWH) from accessing specialized cancer centers in the United States and compare to patient experiences in other countries.
Methods: The review includes randomized controlled trials, cohort studies, case-control studies, qualitative studies, case series, and non-peer reviewed articles. The risk of bias was assessed using standardized tools, and data were synthesized narratively due to the heterogeneity of study designs and outcomes.
In epidemiology, bias is defined as systematic deviation from the truth, and it can arise at different stages of scientific investigation (eg, data collection, methodological application, and outcomes analysis). Epidemiological bias can appear as a consequence of data bias (usually categorized as selection bias or information bias) or social bias (prejudice). Such forms of bias may occur separately or together.
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