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Related Concept Videos

Bias01:22

Bias

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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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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...
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Factors Affecting Perception01:25

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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
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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 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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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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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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Response Bias Reflects Individual Differences in Sensory Encoding.

Dobromir Rahnev1

  • 1School of Psychology, Georgia Institute of Technology.

Psychological Science
|July 1, 2021
PubMed
Summary
This summary is machine-generated.

Individual differences in sensory encoding explain response biases in decision-making. Variations in internal evidence variability lead to optimal biases, revealing a normative strategy in human behavior.

Keywords:
biasconfidencecriterionindividual differencesopen dataopen materialsperceptual decision makingresponse biassensory encodingvisual perception

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Area of Science:

  • Cognitive Neuroscience
  • Decision Making
  • Sensory Perception

Background:

  • Human decision-making exhibits significant biases, even in simple tasks.
  • The origins of these decision-making biases are not fully understood.
  • Existing research has not fully explored individual differences in sensory encoding as a source of bias.

Purpose of the Study:

  • To investigate individual differences in sensory encoding variability as a source of response bias.
  • To determine if response bias reflects subject-to-subject differences in the variance of internal-evidence distributions.
  • To test if response bias aligns with optimal strategies based on individual sensory variability.

Main Methods:

  • Analysis of data from three distinct two-choice tasks.
  • Participant sample sizes: 443, 443, and 498.
  • Examination of the relationship between response bias and individual internal-evidence variability.

Main Results:

  • Response bias consistently shifted towards the optimal criterion for each subject.
  • This optimal criterion was determined by each individual's unique internal-evidence variability.
  • Findings were consistent across all three tested tasks.

Conclusions:

  • Individual differences in sensory encoding significantly contribute to response biases.
  • Response biases can be partly explained by normative strategies adapting to sensory variability.
  • This study highlights a previously unappreciated link between sensory processing and decision-making biases.