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Related Concept Videos

Bias01:22

Bias

6.6K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
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Motivational Bias01:25

Motivational Bias

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Cognitive bias results from limitations in thinking and information processing, leading to systematic errors in judgment. Conversely, motivational bias stems from personal desires or emotions, causing distortions in perception to align with self-interest. Motivational bias influences how individuals perceive and attribute causes to events, often shaped by personal needs, goals, and self-esteem preservation. This bias can distort judgment, leading to inaccurate assessments of success, failure,...
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Confirmation Biases01:31

Confirmation Biases

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The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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Self-Serving Bias01:29

Self-Serving Bias

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Self-serving bias is a cognitive phenomenon in which individuals attribute positive outcomes to internal factors such as their abilities, intelligence, or effort while attributing negative outcomes to external circumstances. This cognitive distortion helps maintain self-esteem but can also impede objective self-assessment.Theoretical Explanations of Self-Serving BiasTwo primary theories explain the self-serving bias: the cognitive explanation and the motivational explanation.The cognitive...
79
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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The Representativeness Heuristic02:13

The Representativeness Heuristic

16.5K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
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Assessment of Mouse Judgment Bias through an Olfactory Digging Task
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You're Biased! Deal With It.

Charles M Maxfield1, Matthew P Thorpe2, Nicholas A Koontz3

  • 1Vice Chair of Education, Department of Radiology, Duke University Medical Center, Durham, North Carolina.

Journal of the American College of Radiology : JACR
|January 8, 2021
PubMed
Summary
This summary is machine-generated.

Implicit bias is common in doctors but may not be the main cause of racial disparity in radiology. Humans can override these biases with conscious thought, suggesting other factors need attention.

Keywords:
Biasdiscriminationdisparityresidents

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Area of Science:

  • Medical education
  • Radiology
  • Social psychology

Background:

  • Implicit racial bias is prevalent in healthcare professionals, including radiologists.
  • Implicit bias is often cited as a key driver of racial disparities in radiology.
  • Existing literature frequently links implicit bias to discrimination in medical fields.

Purpose of the Study:

  • To critically review the literature on implicit bias and racial disparities in radiology.
  • To evaluate the role of the Implicit Association Test (IAT) in understanding these disparities.
  • To propose a more nuanced understanding of implicit bias and its impact on radiology.

Main Methods:

  • Comprehensive literature review of empirical studies.
  • Analysis of research on radiology resident selection processes.
  • Critical evaluation of the Implicit Association Test's validity and application.

Main Results:

  • The Implicit Association Test (IAT) indicates widespread implicit racial bias among doctors and radiologists.
  • Implicit bias is a universal human trait that can be consciously managed.
  • Evidence linking implicit bias directly to radiology's racial disparities is overstated.

Conclusions:

  • While implicit bias exists, overemphasizing its role in radiology's racial disparities is unwarranted.
  • Focusing solely on implicit bias may distract from addressing the actual root causes of these disparities.
  • Further research should explore and address the multifaceted origins of racial inequity in radiology.