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

Aging01:26

Aging

801
Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
801
Electric Potential and Potential Difference01:16

Electric Potential and Potential Difference

5.8K
Suppose a positive test charge moves away from a positive static charge, then the Coulomb force does positive work, and its electric potential energy decreases. The potential energy per unit charge is defined as the electric potential. The electric potential is independent of the test charge.
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
5.8K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.4K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.4K
Identifying Statistically Significant Differences: The F-Test01:14

Identifying Statistically Significant Differences: The F-Test

3.9K
The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
3.9K
Sum and Difference OpAmps01:22

Sum and Difference OpAmps

1.4K
Operational amplifiers (op-amps) are versatile devices that extend beyond amplification. In this context, two specific op-amp configurations are explored: the summing and difference amplifiers.
A summing amplifier, or an adder, utilizes an op-amp to merge multiple input signals into a single output signal. When audio signals are introduced into its input channels, the input resistors initiate currents that traverse feedback resistors, resulting in an output voltage. Applying Kirchhoff's current...
1.4K
The Effect of Aging on Tissues01:19

The Effect of Aging on Tissues

3.6K
Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
3.6K

You might also read

Related Articles

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

Sort by
Same author

The prevalence of food insecurity and its relationship with wellbeing in a large, cross-sectional study of children and young people in England.

JCPP advances·2026
Same author

A digitally embedded intervention to enhance psychological decentering and reduce depression severity in at-risk adolescents: a randomised controlled trial of the 'One Step Back' programme.

EClinicalMedicine·2026
Same author

Both family and peer relationships matter in late adolescence: a network analysis of loneliness and social connection in a UK cohort.

BMJ public health·2026
Same author

When doctors do not care.

Lancet (London, England)·2026
Same author

Collective Risk Taking in Adolescents and Young Adults: Adolescents Take More Risks When Deciding Collectively Than Alone.

Journal of adolescence·2026
Same author

Addressing rates of low mood and anxiety among adolescent girls: Co-production of programme theories with adolescent girls and professionals.

Public health research (Southampton, England)·2026
Same journal

Effects of Children's Video Gaming Experience on Chinese Orthographic Processing and Its Neural Mechanisms.

Developmental science·2026
Same journal

The Kia Tīmata Pai Randomized Controlled Trial: ENRICH Early Childhood Teacher Training Improves Toddlers' Oral Language and Self-Regulation.

Developmental science·2026
Same journal

Deaf Children's Use of Mutual Exclusivity and Eye Gaze to Determine Word Meanings in American Sign Language.

Developmental science·2026
Same journal

Adolescents and Adults Use Different Facial Movements and Vocal Cues to Express Emotions.

Developmental science·2026
Same journal

Decoding Preschool Social Dynamics: Automated Tracking of Spatial and Temporal Patterns to Investigate Social Interactions and Relationships in Peer Groups.

Developmental science·2026
Same journal

Early Life Stress Affects Human Decision Making by Increasing Expectations of Volatility.

Developmental science·2026
See all related articles

Related Experiment Video

Updated: Feb 11, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.6K

Age differences in the prosocial influence effect.

Lucy Foulkes1,2, Jovita T Leung1, Delia Fuhrmann3

  • 1UCL Institute of Cognitive Neuroscience, London, UK.

Developmental Science
|April 17, 2018
PubMed
Summary
This summary is machine-generated.

Children and adolescents are more susceptible to social influence, particularly regarding prosocial behavior. This susceptibility can lead to positive outcomes, demonstrating a beneficial aspect of social influence in younger individuals.

More Related Videos

Continuous High-resolution Microscopic Observation of Replicative Aging in Budding Yeast
10:41

Continuous High-resolution Microscopic Observation of Replicative Aging in Budding Yeast

Published on: August 20, 2013

13.3K
Measuring Single-Cell Aging with an Imaging-based Biomarker of Chromatin and Epigenetic Aging
09:10

Measuring Single-Cell Aging with an Imaging-based Biomarker of Chromatin and Epigenetic Aging

Published on: January 30, 2026

296

Related Experiment Videos

Last Updated: Feb 11, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.6K
Continuous High-resolution Microscopic Observation of Replicative Aging in Budding Yeast
10:41

Continuous High-resolution Microscopic Observation of Replicative Aging in Budding Yeast

Published on: August 20, 2013

13.3K
Measuring Single-Cell Aging with an Imaging-based Biomarker of Chromatin and Epigenetic Aging
09:10

Measuring Single-Cell Aging with an Imaging-based Biomarker of Chromatin and Epigenetic Aging

Published on: January 30, 2026

296

Area of Science:

  • Psychology
  • Developmental Psychology
  • Social Psychology

Background:

  • Social influence impacts thoughts and behaviors, with susceptibility typically declining from childhood to adulthood.
  • Research often focuses on negative social influence, like peer pressure for risky behaviors.
  • The positive impact of social influence on prosocial behavior reporting remains under-explored.

Purpose of the Study:

  • To investigate the effect of social influence on the reporting of prosocial behavior across different age groups.
  • To determine how age influences susceptibility to social influence in the context of helping behaviors.

Main Methods:

  • 755 participants aged 8-59 completed a computerized task rating their likelihood to engage in prosocial behaviors.
  • Participants were exposed to fictitious average ratings from peers after their initial response.
  • A second rating was collected to measure changes in reported prosocial behavior due to social influence.

Main Results:

  • Age significantly affected susceptibility to social influence.
  • Children (8-11), young adolescents (12-14), and mid-adolescents (15-18) showed significant changes in ratings.
  • Young adults (19-25) and adults (26-59) did not significantly alter their ratings.
  • Children exhibited the highest susceptibility to prosocial influence, demonstrating the greatest change in reported behavior.

Conclusions:

  • Younger individuals are more susceptible to social influence than adults.
  • Increased susceptibility to social influence in children and adolescents can yield positive outcomes.
  • This study highlights a beneficial aspect of social influence during developmental stages.