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Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

92.4K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
92.4K
Confirmation Biases01:31

Confirmation Biases

7.4K
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?
7.4K
Bias01:22

Bias

6.3K
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...
6.3K
Surveys02:16

Surveys

16.1K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
16.1K
Halo Effect01:27

Halo Effect

44
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...
44
Motivational Bias01:25

Motivational Bias

134
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,...
134

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Updated: Oct 14, 2025

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.5K

人種 的 偏見 を 暴露 する

Dean Knox1

  • 1Operations, Information and Decisions Department, University of Pennsylvania, Philadelphia, PA 19014, USA.

Science (New York, N.Y.)
|November 4, 2021
PubMed
まとめ

正確な洞察を明らかにするために 欠陥のある警察データを分析できます このアプローチは,警察の慣行をよりよく理解するためのデータ収集の限界を克服するのに役立ちます.

科学分野:

  • 犯罪学
  • 統計について
  • 公共政策

背景:

  • 警察のデータには しばしば不正確さや偏見があります
  • 伝統的な分析方法では データ不完全性が問題です
  • 警官の役割を理解するには 強力な分析技術が必要です

研究 の 目的:

  • 不完全な警察データを分析する際の因果推論の有用性を実証する.
  • 刑事司法研究におけるデータ制限に対処するための枠組みを提供すること.

主な方法:

  • 原因推論のテクニックの適用
  • データのバイアスを説明する統計モデルです.
  • シミュレーションと現実世界の警察データセットの分析

主要な成果:

  • 原因推論はデータ欠陥にもかかわらず 有意義なパターンを成功裏に特定しました
  • 標準的な方法と比較して精度が向上した.
  • 警察における重要な関係が明らかにされた.

結論:

  • 原因推論は不完全な警察データを用いた研究にとって貴重なツールです.

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  • この方法論は,犯罪学と公共政策における発見の信頼性を高めます.
  • 将来の研究は,より正確な警察分析のための因果推論を活用するべきです.