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相关概念视频

The Anchoring-and-Adjustment Heuristic01:25

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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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Arithmetic Mean01:08

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The arithmetic mean is the most commonly used measure of the central tendency of a data set. It is defined as the sum of all the elements constituting the data set, divided by the total number of elements. It is sometimes loosely referred to as the “average.”
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Sometimes, the arithmetic mean of a sample can be affected by a few data points...
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Bias01:22

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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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Weighted Mean00:57

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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.
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The Availability Heuristic01:08

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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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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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在心理算术中固定偏见.

Samuel Shaki1, Martin H Fischer2

  • 1Department of Psychology, Ariel University, Ariel, Israel. Samuel_shaki@hotmail.com.

Psychological research
|November 27, 2024
PubMed
概括
此摘要是机器生成的。

成年人表现出心理算术方面的偏差,观察到反向操作势头 (OM). 这项研究揭示了基于操作和基于顺序的精神计算中的定效应,澄清了OM的起源.

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科学领域:

  • 认知心理学 认知心理学
  • 数字认知 数字认知
  • 数学的认知能力数学认知能力

背景情况:

  • 心理算术表现受到偏见的影响,操作动量效应 (OM) 是研究的一个关键领域.
  • 现有的OM研究提出了关于加和减的过高/低估方向的相互矛盾的发现.
  • 对OM的理论解释提供了相反的预测,需要进一步调查以解决这些差异.

研究的目的:

  • 调查操作数顺序和操作类型在心理算术偏差中的作用.
  • 在象征性心智计算中,区分基于操作和基于顺序的定效应.
  • 为了测试对操作动量效应的竞争理论解释.

主要方法:

  • 使用符号刺激和响应来确保准确的操作符编码和结果报告.
  • 操作顺序通过计算指令被操纵 (例如",29 + 19"与"加 19 到 29").
  • 实验使用了听觉和视觉介绍格式,与成年参与者 (N=30每次实验).

主要成果:

  • 观察到一个反向运行势头 (OM) 效应,其特点是减去的高估值和额外的低估值.
  • 基于操作的定影响了心理算术结果.
  • 基于订单的定,其中第一个操作数作为更强的,也被确定并被发现是独立于基于操作的定.

结论:

  • 该研究表明,在心理算术中,基于操作和基于顺序的定效应.
  • 这些发现将已知的定效应扩展到心理计算领域.
  • 发现的定机制为有关操作动量的起源 (OM) 的竞争理论提供了解决方案.