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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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Hindsight Biases01:12

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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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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.
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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Adolescence is a pivotal period of identity formation, during which individuals begin to answer questions central to their sense of self, such as "Who am I?" and "Who do I hope to become?" Both parents and peers play critical roles in guiding adolescents through this complex developmental phase.
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Bias in the Peer Review Process: Can We Do Better?

Alina Tvina1, Ryan Spellecy, Anna Palatnik

  • 1Department of Obstetrics and Gynecology and the Center for Bioethics and Medical Humanities, Medical College of Wisconsin, Milwaukee, Wisconsin.

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Summary

Scientific peer review, crucial for publication, faces challenges from reviewer and editorial bias. This commentary explores common biases and suggests improvements to the single-blind peer review process for better research and patient care.

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Area of Science:

  • Medical research evaluation
  • Scholarly publishing standards
  • Scientific integrity

Background:

  • Peer review is the primary mechanism for scientific manuscript evaluation and publication decisions.
  • Current peer review processes, particularly single-blind, are susceptible to reviewer and editorial bias.
  • Lack of objectivity and transparency in peer review raises concerns about merit-based evaluation.

Discussion:

  • Common biases that can compromise objective manuscript assessment are reviewed.
  • The commentary critically examines the limitations of the traditional single-blind peer review system.
  • Potential biases include personal, institutional, and topical preferences influencing editorial decisions.

Key Insights:

  • Manuscript evaluation may be influenced by factors beyond scientific merit.
  • The single-blind peer review process, widely adopted, is not immune to subjective influences.
  • Identifying and mitigating bias is essential for maintaining the integrity of scientific publishing.

Outlook:

  • Proposes alternative peer review models to enhance objectivity and transparency.
  • Aims to stimulate discussion on reforming peer review methodologies.
  • Ultimately seeks to improve the quality of published research and patient care outcomes.