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Related Concept Videos

Confidence Coefficient01:24

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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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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
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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.
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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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Decision Making01:20

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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.
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Confidence Intervals01:21

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An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a  sample proportion. However, unlike the point estimate which is a single value, the confidence interval  contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
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The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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Group decisions based on confidence weighted majority voting.

Sascha Meyen1, Dorothee M B Sigg2, Ulrike von Luxburg3,4

  • 1Experimental Cognitive Science, Department of Computer Science, University of Tübingen, Tübingen, Germany. sascha.meyen@uni-tuebingen.de.

Cognitive Research: Principles and Implications
|March 15, 2021
PubMed
Summary
This summary is machine-generated.

Simulated group decisions using confidence-weighted majority voting (CWMV) better match real group accuracy than unweighted majority voting (MV). CWMV is a more accurate simulation method for group decision-making under uncertainty.

Keywords:
Confidence weighted majority voteGroup decisionGroup discussionWisdom of the crowd

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Area of Science:

  • Cognitive Science
  • Social Psychology
  • Decision Science

Background:

  • Groups often outperform individuals in decision-making under uncertainty.
  • Simulated groups aggregate individual responses numerically, often using unweighted majority voting (MV).
  • Confidence-weighted majority voting (CWMV) is theoretically optimal for simulations if accurate confidence ratings are available.

Purpose of the Study:

  • To compare the accuracy of simulated group decisions using MV versus CWMV.
  • To determine which simulation method better reflects real group decision-making processes.

Main Methods:

  • Formal cognitive modeling was employed.
  • Simulated group responses (MV and CWMV) were compared to real group responses.

Main Results:

  • CWMV simulations matched real group decision accuracy, outperforming MV simulations.
  • CWMV accurately predicted group confidence, though real groups weighted votes more equally.
  • Real groups expressed lower confidence in decisions than CWMV simulations suggested.

Conclusions:

  • Individual confidence is crucial for accurate group decision simulations.
  • CWMV serves as a more appropriate benchmark for comparing real group performance than MV.
  • Research on simulated group decisions should adopt CWMV over MV.