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Related Concept Videos

Confirmation Biases01:31

Confirmation Biases

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?
Confidence Intervals01:21

Confidence Intervals

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.
A confidence...
Interpretation of Confidence Intervals01:19

Interpretation of Confidence Intervals

A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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...
Confidence Coefficient01:24

Confidence Coefficient

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 both the...
Motivational Bias01:25

Motivational Bias

Cognitive bias results from limitations in thinking and information processing, leading to systematic errors in judgment. Conversely, motivational bias stems from personal desires or emotions, causing distortions in perception to align with self-interest. Motivational bias influences how individuals perceive and attribute causes to events, often shaped by personal needs, goals, and self-esteem preservation. This bias can distort judgment, leading to inaccurate assessments of success, failure,...

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Related Experiment Video

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Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat
11:18

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Published on: September 12, 2014

Relation between confidence in yes-no and forced-choice tasks.

C R McKenzie1, J T Wixted, D C Noelle

  • 1Department of Psychology, University of California, San Diego 92093-0109, USA. cmckenzie@ucsd.edu

Journal of Experimental Psychology. General
|April 11, 2001
PubMed
Summary

Researchers investigated how confidence ratings change between yes-no and forced-choice tasks. Findings suggest neither normative nor other models fully explain confidence shifts, leaving linear and multiplicative models as possibilities.

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Area of Science:

  • Cognitive Psychology
  • Decision Making
  • Psychometrics

Background:

  • Yes-no and forced-choice tasks are frequently used in psychological research.
  • The relationship between confidence judgments in these two distinct task formats remains empirically underexplored.

Purpose of the Study:

  • To investigate the empirical relationship between confidence judgments in yes-no and forced-choice tasks.
  • To determine how confidence in general knowledge statements changes when transitioning between these task formats.

Main Methods:

  • Two experiments were conducted using general knowledge statements.
  • Participants provided confidence ratings for statements in a yes-no format.
  • Confidence was re-assessed when statements were presented in a forced-choice format (one true, one false).

Main Results:

  • The study examined changes in confidence ratings between the yes-no and forced-choice tasks.
  • Two tested models, including a normative model, were invalidated as descriptive accounts of the observed data.
  • Both a linear model and a multiplicative model emerged as viable explanations for the confidence shifts.

Conclusions:

  • Existing models do not fully capture the dynamics of confidence reporting across different task types.
  • Further research is needed to refine models explaining confidence judgments in psychological tasks.