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Decision Making: P-value Method01:09

Decision Making: P-value Method

5.2K
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...
5.2K
Decision Making01:20

Decision Making

69
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
69
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

3.9K
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...
3.9K
Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance01:14

Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance

25
Avoidance-avoidance conflict refers to a psychological situation where a person must choose between two or more unpleasant alternatives. These conflicts are particularly stressful because neither option is desirable. This dilemma is often expressed in sayings like "caught between a rock and a hard place" or "between the devil and the deep blue sea." For instance, individuals who fear dental procedures may find themselves torn between enduring a painful toothache or facing the...
25
Reason and Intuition01:37

Reason and Intuition

6.3K
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...
6.3K
Factorial Design02:01

Factorial Design

12.5K
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...
12.5K

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相关实验视频

Updated: May 10, 2025

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

5.9K

决策者在选择三胞胎时考虑所有选择.

Douglas G Lee1,2

  • 1School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland.

PloS one
|April 21, 2025
PubMed
概括

用多个选项做决定需要更长的时间,而且不太可预测. 这项研究证实了已知的效应,并揭示了信心和努力反映了多选项决策中的认知变化.

科学领域:

  • 认知心理学 认知心理学
  • 决策科学科学 决策科学
  • 神经科学是一个神经科学.

背景情况:

  • 大多数决策研究都研究二元选择,而不是现实世界多选项场景.
  • 选择的数量和相似性会影响选择的速度和准确性.

研究的目的:

  • 提供进一步的证据,证明选项集组成对选择结果的已知影响.
  • 研究元认知因素对多选项决策的影响.
  • 在多选项选择的审议过程中探索价值估计的精细化.

主要方法:

  • 关于决策的实验和计算研究.
  • 对响应时间,选择随机性和元认知措施的分析.
  • 选择三胞胎与先前研究的选择对进行比较.

主要成果:

  • 增加的选项导致了更慢,更随机的响应,特别是当选项值相似时.
  • 自信和努力等超认知因素表现出与认知因素相似的模式.
  • 在审议期间,所有选项的价值估计都在三重组中得到了改进.

结论:

  • 决策研究必须考虑生态有效性的多选项场景.

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  • 超认知过程是理解多选项决策的组成部分.
  • 价值估计改进发生在多选项选择中的所有选项中.