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相关概念视频

Weighted Mean00:57

Weighted Mean

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While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
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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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Confirmation Biases01:31

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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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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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A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
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相关实验视频

Updated: May 10, 2025

Assessment of Mouse Judgment Bias through an Olfactory Digging Task
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在兽医专业人员中存在隐含的体重偏差.

Abigayle J Partington1, Katja A Sutherland1, Katie M Clow1

  • 11Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.

Journal of the American Veterinary Medical Association
|April 23, 2025
PubMed
概括

兽医专业人员可能会隐含体重偏见,影响物主人对物的看法. 在与客户讨论物体重时,意识至关重要.

关键词:
临床沟通 临床沟通隐含的偏见 隐含的偏见感知 感知 感知 感知体重 体重 体重 体重 体重体重的耻辱 体重的耻辱

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科学领域:

  • 兽医医学 兽医医学 兽医医学
  • 心理学 心理学 心理学
  • 社会科学 社会科学 社会科学

背景情况:

  • 体重耻辱和隐性体重偏见是重要的社会问题.
  • 在兽医领域了解这些偏见对于有效的客户沟通和动物护理至关重要.
  • 之前的研究还没有广泛探索兽医专业人员的体重偏差.

研究的目的:

  • 通过对兽医专业人员的关联来调查隐性体重偏差和体重耻辱.
  • 评估所有者对物所有者的看法如何根据所有者和物的体重状况而有所不同.
  • 探索这些偏见的潜在物种特异性差异.

主要方法:

  • 对138名兽医专业人员进行电子调查.
  • 参与者看到了不同客户和物体重的场景,并评估了护理人员的能力.
  • 经过验证的体重隐性关联测试用于测量无意识偏差.

主要成果:

  • 兽医专业人士将超重狗的所有者评为不太有效的照顾者 (OR,0.29).
  • 超重猫的主人被认为更有爱心 (OR,2.89).
  • 90.6%的参与者表现出对超重个体的瘦个体的无意识偏好.

结论:

  • 兽医专业人员对物主人的看法因物种而异,这表明潜在的隐性体重偏差.
  • 这些发现凸显了对兽医职业内体重偏差的进一步研究的需要.
  • 建议与超重或肥胖物主人互动的兽医专业人员意识到潜在的隐性体重偏差.