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Bias01:22

Bias

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...
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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:
Confirmation Biases01:31

Confirmation Biases

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?
Correspondence Bias01:17

Correspondence Bias

Correspondence bias, also referred to as the fundamental attribution error, describes the tendency to attribute another person’s behavior to internal characteristics rather than situational influences. This cognitive bias leads individuals to overlook external factors that may be influencing actions, thereby fostering potentially inaccurate assessments of others’ intentions and dispositions.Empirical Evidence for Correspondence BiasResearch has consistently demonstrated the prevalence of...
Motivational Bias01:25

Motivational Bias

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,...
Blind Procedures02:07

Blind Procedures

Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which child was...

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Related Experiment Video

Updated: Jun 5, 2026

Post-Movie Subliminal Measurement (PMSM), for Investigating Implicit Social Bias
09:03

Post-Movie Subliminal Measurement (PMSM), for Investigating Implicit Social Bias

Published on: February 29, 2020

Beyond publication bias.

Leon Bax1, Karel G Moons

  • 1Pharsight Corporation, Strategic Consulting Services, Sunnyvale, CA, USA. Leon.Bax@Certara.com

Journal of Clinical Epidemiology
|January 4, 2011
PubMed
Summary
This summary is machine-generated.

Selective evidence in research can endanger patients and society. This study clarifies "publication bias," a systematic error from unrepresentative evidence, and proposes improved terminology for better decision-making.

Related Experiment Videos

Last Updated: Jun 5, 2026

Post-Movie Subliminal Measurement (PMSM), for Investigating Implicit Social Bias
09:03

Post-Movie Subliminal Measurement (PMSM), for Investigating Implicit Social Bias

Published on: February 29, 2020

Area of Science:

  • Health policy
  • Clinical medicine
  • Drug development

Background:

  • Decisions based on selective evidence pose risks to patient and societal health.
  • Relying on primarily positive research can lead to incorrect conclusions about drug safety.
  • This selective reporting introduces a systematic error known as publication bias.

Purpose of the Study:

  • To explore the terminology and concepts surrounding publication bias.
  • To propose a more systematic nomenclature for addressing this bias.

Main Methods:

  • Literature review of existing terminology related to evidence bias.
  • Conceptual analysis of the impact of selective evidence in research.
  • Development of a proposed systematic nomenclature.

Main Results:

  • Identified inconsistencies and varied terminology for the concept of publication bias.
  • Highlighted the significant threat posed by unrepresentative evidence summaries.
  • Proposed a structured framework for understanding and discussing this bias.

Conclusions:

  • Standardizing terminology is crucial for accurate interpretation of research evidence.
  • A systematic nomenclature can mitigate the risks associated with publication bias.
  • Clearer terminology supports better-informed decisions in healthcare and policy.