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Related Concept Videos

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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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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Biasing a Junction Field Effect Transistor (JFET) is crucial for setting operational parameters and ensuring efficient functioning in electronic circuits. JFETs are characterized by using a single carrier type in N-channel or P-channel configurations, where the channel is surrounded by PN junctions. These junctions are central to the device's ability to control current flow.
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The halo effect is a cognitive bias in which an individual's overall impression influences judgments about their specific traits. This psychological phenomenon leads people to associate positive characteristics with those they perceive as generally good and negative characteristics with those they view as bad. This effect is particularly influential in social perception, professional evaluations, and decision-making processes.The Psychological Basis of the Halo EffectThe halo effect is rooted...
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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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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...
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Related Experiment Video

Updated: Mar 12, 2026

Strand-Specific Analysis of Proteins at Replicating DNA Strands by Enrichment and Sequencing of Protein-Associated Nascent DNA Method
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Weight bias: a call to action.

Angela S Alberga1, Shelly Russell-Mayhew1, Kristin M von Ranson2

  • 1Werklund School of Education, University of Calgary, 2500 University Dr NW, T2N 1N4 Calgary, AB Canada.

Journal of Eating Disorders
|November 10, 2016
PubMed
Summary
This summary is machine-generated.

Weight bias negatively impacts health and wellbeing, affecting individuals with obesity and eating disorders. Addressing weight bias requires population-level interventions, not shaming, to promote positive change.

Keywords:
Eating behavioursOverweightWeight prejudiceWeight stigma

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Area of Science:

  • Public Health
  • Psychology
  • Sociology

Background:

  • Weight-related issues like obesity and eating disorders are often viewed separately.
  • Weight bias is a significant, yet often overlooked, factor impacting overall wellbeing.

Purpose of the Study:

  • To argue for the central role of weight bias in understanding wellbeing across the spectrum of weight-related issues.
  • To highlight the adverse consequences of weight bias and propose solutions.

Main Methods:

  • Commentary synthesizing existing evidence and theoretical arguments.
  • Analysis of six key points supporting the central argument on weight bias.

Main Results:

  • Weight bias is prevalent, causes harm, and is exacerbated by internalized stigma.
  • Public health efforts can inadvertently perpetuate bias if not carefully designed.
  • Weight bias is linked to social inequity.

Conclusions:

  • Weight bias requires a population-level approach, focusing on upstream interventions.
  • Sustainable reductions in weight bias necessitate collaborative, multi-setting efforts.
  • Examples of effective population-level interventions are provided.