Jove
Visualize
Contact Us

Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

2.4K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.4K
Central Limit Theorem01:14

Central Limit Theorem

14.4K
The central limit theorem, abbreviated as clt, is one of the most powerful and useful ideas in all of statistics. The central limit theorem for sample means says that if you repeatedly draw samples of a given size and calculate their means, and create a histogram of those means, then the resulting histogram will tend to have an approximate normal bell shape. In other words, as sample sizes increase, the distribution of means follows the normal distribution more closely.
The sample size, n, that...
14.4K
Prediction Intervals01:03

Prediction Intervals

2.2K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
2.2K
Applications of Normal Distribution01:22

Applications of Normal Distribution

4.9K
The normal distribution is a useful statistical tool. One of its practical applications is determining the door height after considering the normal distribution of heights of persons, such that many can pass through it easily without striking their heads. The normal distribution can also determine the probability of a person having a height less than a specific height.
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
4.9K
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

2.5K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
2.5K

You might also read

Related Articles

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

Sort by
Same author

The racial and ethnic gap in behavioral measures rivals the gender gap in the United States.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Higher socioeconomic status does not predict decreased prosocial behavior in a field experiment.

Nature communications·2021
Same author

Predicting social tipping and norm change in controlled experiments.

Proceedings of the National Academy of Sciences of the United States of America·2021
Same author

Surveillance cues do not enhance altruistic behavior among anonymous strangers in the field.

PloS one·2018
Same author

Altruistic punishment does not increase with the severity of norm violations in the field.

Nature communications·2016
Same author

Direct and indirect punishment among strangers in the field.

Proceedings of the National Academy of Sciences of the United States of America·2014
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 Experiment Video

Updated: May 29, 2025

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

6.9K

Predicting norm change using threshold models.

Moritz Janas1, Nikos Nikiforakis2, Simon Siegenthaler3

  • 1Center for Behavioral Institutional Design, New York University Abu Dhabi, United Arab Emirates.

Current Opinion in Psychology
|February 2, 2025
PubMed
Summary
This summary is machine-generated.

Predicting social norm evolution is difficult. This review explores threshold models and empirical studies, highlighting new methods and future research directions for understanding societal shifts.

More Related Videos

A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.6K
Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
06:31

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform

Published on: August 4, 2022

2.9K

Related Experiment Videos

Last Updated: May 29, 2025

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

6.9K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.6K
Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
06:31

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform

Published on: August 4, 2022

2.9K

Area of Science:

  • Social Sciences
  • Sociology
  • Behavioral Economics

Background:

  • Predicting shifts in collective behavior and social norms is a persistent challenge for social scientists.
  • Historical failures to anticipate norm changes and the endurance of welfare-impeding norms necessitate improved predictive frameworks.
  • Understanding the dynamics of social norm evolution is crucial for addressing societal challenges.

Purpose of the Study:

  • To review advancements in predicting social norm change using threshold models.
  • To document the increasing number of empirical studies in this field.
  • To identify key methodological developments and future research avenues.

Main Methods:

  • Review of current literature on threshold models for social norm change.
  • Analysis of empirical studies employing these models.
  • Synthesis of methodological advancements and identification of open research questions.

Main Results:

  • Threshold models offer a promising framework for anticipating social norm evolution.
  • There is a growing body of empirical research applying these models to real-world phenomena.
  • Recent methodological developments have enhanced the predictive power and applicability of these models.

Conclusions:

  • Threshold models provide valuable tools for understanding and potentially predicting social norm change.
  • Continued empirical research and methodological innovation are essential for advancing the field.
  • Addressing the challenge of predicting norm evolution requires interdisciplinary collaboration and further investigation.