The purpose of this lesson is to understand how bias influences research design, to become familiar with various types of bias, and to use that knowledge to control bias when developing research projects
Anti-fat bias has been increasing in the United States since the designation of “obesity” as a disease. In fact, it is the only implicit bias tracked by the Harvard Implicit Attitudes Test (IAT) that has increased during this time. Healthcare is one of the major sources of anti-fat bias, which undermines our attempts to improve the health of people at the higher end of the weight spectrum
STFM 23 FINAL Erlanger anti fat bias plenary saturday.pdf
Slides from our workshop @ 2023 STFM MSE Conference
STFM Mitigating Bias in Assessment and Evaluation.pdf
Audio and Powerpoint from MSE2020 General Session by Danielle Jones, AAFP Director of Diversity and Health Equity
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Suggestions for responding to biased statements--"verbal judo" and ethical frameworks for responding to expressed bias
See matching library entry files - Bias Judo.docx
PowerPoint slides for presentation
Forum 2018 Call It What It Is Confronting Bias.pptx