Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Confidence Intervals01:21

Confidence Intervals

9.3K
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...
9.3K
Uncertainty: Confidence Intervals00:54

Uncertainty: Confidence Intervals

9.9K
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...
9.9K
Instrument Calibration01:12

Instrument Calibration

1.4K
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
1.4K
Interpretation of Confidence Intervals01:19

Interpretation of Confidence Intervals

8.8K
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...
8.8K
Confidence Coefficient01:24

Confidence Coefficient

9.2K
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...
9.2K
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

5.0K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
5.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Regulatory focus, nutrition involvement, and nutrition knowledge.

Appetite·2019
Same author

Negative moderating effect of general self-efficacy on the relationship between need for cognition and cognitive effort.

Psychological reports·2011
See all related articles

Related Experiment Video

Updated: Apr 30, 2026

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

10.8K

Range of confidence scale and consumer knowledge calibration.

Kishore Gopalakrishna Pillai

    Psychological Reports
    |April 29, 2014
    PubMed
    Summary

    Consumer knowledge calibration is unaffected by confidence scale range. Whether using a full (0%-100%) or restricted (25%-100%) range scale, results for knowledge calibration remain comparable, simplifying future research design.

    Area of Science:

    • Consumer Behavior
    • Psychometrics
    • Educational Psychology

    Background:

    • Accurate self-assessment of knowledge, or calibration, is crucial for effective learning and decision-making.
    • Confidence scales are commonly used to measure knowledge calibration.
    • The range of these scales (e.g., full 0%-100% vs. restricted 25%-100%) may influence calibration assessments.

    Purpose of the Study:

    • To investigate if the range of a confidence scale affects consumer knowledge calibration.
    • To compare the impact of a restricted range scale (25%-100%) versus a full range scale (0%-100%) on calibration accuracy.

    Main Methods:

    • A quasi-experimental design was utilized with 434 student participants.
    • Data were collected from two distinct samples.

    More Related Videos

    An R-Based Landscape Validation of a Competing Risk Model
    05:37

    An R-Based Landscape Validation of a Competing Risk Model

    Published on: September 16, 2022

    2.3K
    Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
    09:07

    Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

    Published on: September 16, 2015

    8.6K

    Related Experiment Videos

    Last Updated: Apr 30, 2026

    Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
    10:22

    Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

    Published on: September 7, 2019

    10.8K
    An R-Based Landscape Validation of a Competing Risk Model
    05:37

    An R-Based Landscape Validation of a Competing Risk Model

    Published on: September 16, 2022

    2.3K
    Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
    09:07

    Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

    Published on: September 16, 2015

    8.6K
  • One sample (N=167) used a full range confidence scale, while the other (N=267) used a restricted range scale for multiple-choice questions.

    • Main Results:

    • No statistically significant differences in knowledge calibration were found between participants using the full range scale and those using the restricted range scale.
    • The findings indicate that the scale's range did not impact the accuracy of self-assessed knowledge.

    Conclusions:

    • The range of the confidence scale (full vs. restricted) does not appear to influence knowledge calibration.
    • Results from studies using either restricted or full range confidence scales are comparable.
    • This suggests flexibility in scale selection for future research on knowledge calibration.