Related Experiment Video
Updated: Jun 5, 2025

09:07
Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
Published on: September 16, 2015
9.0K
Normative and informational confidence matching
Maja Friedemann1, Dan Bang1, Nick Yeung1
1Department of Experimental Psychology, University of Oxford.
Journal of Experimental Psychology. General
|December 16, 2024
Summary
Social confidence matching is driven by both genuine belief changes and public expression adjustments. This study reveals how informational and normative factors influence confidence in social contexts.
Area of Science:
- Cognitive psychology
- Social neuroscience
- Metacognition
Background:
- Individuals' confidence judgments align with others over time in social tasks.
- The underlying mechanisms of this 'confidence matching' phenomenon require further investigation.
Purpose of the Study:
- To differentiate between informational and normative drivers of confidence matching.
- To investigate how social context influences private confidence recalibration versus public expression adaptation.
Main Methods:
- Two experiments were designed to isolate informational and normative influences on confidence.
- Participants' private confidence (via information-seeking behavior) and public confidence (reports) were measured.
Main Results:
- Both informational and normative factors were found to drive confidence matching.
- Informational factors led to genuine recalibration of private confidence, evident in information-seeking behavior.
- Normative factors influenced public confidence reports without altering private confidence assessments when feedback and joint decisions were involved.
Conclusions:
- Confidence is flexible and context-dependent, influenced by both genuine belief updates and social signaling.
- Understanding metacognitive processes requires consideration of social dynamics and adaptive confidence expression.
Related Concept Videos
Confidence Coefficient
7.5K
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...
7.5K
Confirmation Biases
5.4K
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?
5.4K
Confidence Intervals
6.1K
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...
A...
6.1K
Interpretation of Confidence Intervals
5.6K
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...
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...
5.6K
Uncertainty: Confidence Intervals
3.1K
The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
3.1K
Stereotype Threat and Self-fulfilling Prophecies
37.5K
When we hold a stereotype about a person, we have expectations that he or she will fulfill that stereotype. A self-fulfilling prophecy is an expectation held by a person that alters his or her behavior in a way that tends to make it true. When we hold stereotypes about a person, we tend to treat the person according to our expectations. This treatment can influence the person to act according to our stereotypic expectations, thus confirming our stereotypic beliefs. Research by Rosenthal and...
37.5K

