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Related Concept Videos

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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Bias in Epidemiological Studies01:29

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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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Bias01:22

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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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Strategies for Assessing and Addressing Confounding01:25

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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
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Reliability and Validity01:29

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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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When we hold a stereotype about a person, we have expectations that he or she will fulfill that stereotype. A self-fulfilling prophecy is an expectation held by a person that alters his or her behavior in a way that tends to make it true. When we hold stereotypes about a person, we tend to treat the person according to our expectations. This treatment can influence the person to act according to our stereotypic expectations, thus confirming our stereotypic beliefs. Research by Rosenthal and...
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Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
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Seeing Ourselves in Others: Understanding and Addressing Biases in Medical School Admissions Processes.

Khadija Ahmed1, Tisha Joy2, Javeed Sukhera3

  • 1Undergraduate Medical Education, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.

Perspectives on Medical Education
|January 27, 2025
PubMed
Summary

Medical school admissions committees need better bias recognition and management (BRM) strategies. Participants highlighted diverse perspectives on bias and emphasized peer dialogue for effective DEI advancement.

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Area of Science:

  • Medical Education Research
  • Diversity, Equity, and Inclusion (DEI)
  • Bias Recognition and Management (BRM)

Background:

  • Medical school admissions are crucial for advancing diversity, equity, and inclusion (DEI).
  • Integrating bias recognition and management (BRM) is vital for DEI in admissions.
  • Empirical literature on BRM within admissions is limited.

Purpose of the Study:

  • To explore how individuals in medical school admissions process and integrate bias-related feedback.
  • To understand the impact of personal biases on admissions decisions.
  • To identify needs for improving BRM in medical school admissions.

Main Methods:

  • Qualitative exploratory study utilizing constructivist grounded theory.
  • Conducted 21 semi-structured interviews with faculty, senior students, and community volunteers involved in admissions.
  • Participants had previously engaged in bias-related training.

Main Results:

  • Participants shared diverse views on personal biases and their influence on admissions decisions.
  • Individual identities, values, and priorities shaped bias perceptions and candidate evaluations.
  • A strong need for peer dialogue to openly discuss bias recognition and management was identified.

Conclusions:

  • Fostering critical reflection on identity tensions is key for DEI.
  • Building and sustaining communities of practice can enhance BRM.
  • Facilitating ongoing dialogue offers an evidence-informed approach to advancing DEI in admissions.