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相关概念视频

Decision Making: P-value Method01:09

Decision Making: P-value Method

5.3K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K
Cognitive Dissonance01:38

Cognitive Dissonance

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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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Reason and Intuition01:37

Reason and Intuition

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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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Framing Effects03:26

Framing Effects

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Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
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Factorial Design02:01

Factorial Design

13.0K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
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相关实验视频

Updated: Jun 17, 2025

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

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在离散选择选项之外

Amir Hosein Hadian Rasanan1, Nathan J Evans2, Laura Fontanesi1

  • 1Department of Psychology, University of Basel, Missionsstrasse 62A, 4055, Basel, Switzerland.

Trends in cognitive sciences
|August 13, 2024
PubMed
概括
此摘要是机器生成的。

决策理论正在扩大,超越了有限的选择,成为连续的选择. 本综述探讨了连续空间和未来研究方向的决策模型.

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相关实验视频

Last Updated: Jun 17, 2025

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

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科学领域:

  • 认知科学 认知科学
  • 决策神经科学 决策神经科学
  • 计算心理学 计算心理学

背景情况:

  • 传统的决策理论主要是针对离散选项之间的选择.
  • 现实世界的场景经常涉及连续的决策空间.
  • 最近的进展探索了在连续环境中的决策.

研究的目的:

  • 在连续选项空间中审查当前的决策理论和计算模型.
  • 提供连续决策的应用概述.
  • 确定该领域未来研究的开放问题.

主要方法:

  • 审查关于决策理论和计算建模的现有文献.
  • 对连续空间应用的顺序采样模型的分析.
  • 综合各种领域的应用程序.

主要成果:

  • 强调从离散到连续决策模型的转变.
  • 在顺序采样框架内总结计算方法.
  • 确定关键的挑战和未解决的问题.

结论:

  • 了解连续空间中的决策对于现实世界的应用至关重要.
  • 需要进一步开发计算模型.
  • 未来的研究应该解决已识别的题,并扩大理论框架.