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相关概念视频

McNemar's Test01:23

McNemar's Test

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McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...
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Confirmation Biases01:31

Confirmation Biases

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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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Confidence Coefficient01:24

Confidence Coefficient

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The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under...
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相关实验视频

Updated: Mar 18, 2026

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
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Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

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验证一个多项处理树模型来测量对阵容的信心,使用后响应反操纵.

Raoul Bell1, Nicola Marie Menne2, Axel Buchner2

  • 1Department of Experimental Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany. raoul.bell@hhu.de.

Cognitive research: principles and implications
|March 16, 2026
PubMed
概括
此摘要是机器生成的。

我们开发了一个新的阵容信心模型来测量目击者的信心以及认知过程. 该模型准确地评估信心,而不影响检测或选择过程的测量.

关键词:
信任评价的判断 信心评价的判断目击者身份识别证人身份识别阵容排行 阵容排行 阵容排行多项式处理树模型模型鉴定后的反,就是识别后的反.

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

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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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相关实验视频

Last Updated: Mar 18, 2026

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
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Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

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科学领域:

  • 心理学 心理学 心理学
  • 目击者鉴定 调查研究

背景情况:

  • 对目击者队列反应的信心对于法律和研究应用至关重要.
  • 现有的模型,如双高值目击者识别模型,可以测量认知过程,但不能测量信心.

研究的目的:

  • 为了引入和验证阵容信心模型,这是两个高值模型的扩展.
  • 将信任度测量纳入目击者识别模型.
  • 为了检查信心是如何与基础的认知过程在排队响应的关系.

主要方法:

  • 开发了阵容信心模型,扩展了两高值目击者识别模型.
  • 进行了一个大样本大小 (N=1565) 的实验.
  • 使用后回应反作为操纵来影响信心水平.

主要成果:

  • 信心表现出一种可预测的模式:基于检测和偏见的选择反应比基于猜测的反应产生了更高的信心.
  • 响应后的反选择性地影响了信心.
  • 该模型表明,可以测量信心,而不影响对潜在的认知过程 (检测,选择,猜测) 的评估.

结论:

  • 经过验证的阵容信任模型成功地测量了与目击者识别中的关键认知过程一起的信任.
  • 该模型为调查影响目击者信心的因素提供了有价值的工具.
  • 未来的研究可以利用这种模型来探索阵容特征和外部因素如何影响与潜在响应过程相关的信心.