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

Variability: Analysis01:11

Variability: Analysis

280
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
280
Cognitive Development During Adolescence01:18

Cognitive Development During Adolescence

293
During adolescence, individuals experience significant cognitive development that enhances their understanding of others' emotions and thoughts, known as cognitive empathy. This period is marked by an increased ability to adapt to others' perspectives and a more nuanced understanding of others' mental states, a skill that is foundational for social problem-solving and conflict avoidance. The development of cognitive empathy relies heavily on the theory of mind — the...
293
Variation: Normal Distribution, Range, and Standard Deviation02:32

Variation: Normal Distribution, Range, and Standard Deviation

25.1K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
25.1K
Genetic Variation01:25

Genetic Variation

1.0K
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
1.0K
Variation01:19

Variation

7.5K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
7.5K
Signs of Puberty01:27

Signs of Puberty

908
Puberty is a critical phase, typically beginning between the ages of 8 and 13 in girls and 9 and 14 in boys, though timing can vary based on genetics, environmental factors, and overall health. This period is characterized by the development of secondary sexual characteristics and the attainment of reproductive potential. Endocrine changes underpin puberty, with hormonal surges of Luteinizing Hormone (LH) and Follicle-Stimulating Hormone (FSH) instigated by Gonadotropin-Releasing Hormone (GnRH)...
908

You might also read

Related Articles

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

Sort by
Same author

The transition of assessing health technologies to social interventions in Sweden.

International journal of technology assessment in health care·2024
Same author

Is internet-based parent training for everyone? Predictors and moderators of outcomes in group vs. internet-based parent training for children with disruptive behavior problems.

Behaviour research and therapy·2023
Same author

Parent Training via Internet or in Group for Disruptive Behaviors: A Randomized Clinical Noninferiority Trial.

Journal of the American Academy of Child and Adolescent Psychiatry·2023
Same author

Publication bias, time-lag bias, and place-of-publication bias in social intervention research: An exploratory study of 527 Swedish articles published between 1990-2019.

PloS one·2023
Same author

The devil is in the details: Unpackaging the systematic in systematic reviews: Short reply to reconsidering the effectiveness of mentoring for prevention of juvenile criminal recidivism.

Journal of consulting and clinical psychology·2022
Same author

Numbers of publications and citations for researchers in fields pertinent to the social services: a comparison of peer-reviewed journal publications across six disciplines.

Scientometrics·2022

Related Experiment Video

Updated: Nov 17, 2025

Rodent Estrous Cycle Monitoring Utilizing Vaginal Lavage: No Such Thing As a Normal Cycle
09:05

Rodent Estrous Cycle Monitoring Utilizing Vaginal Lavage: No Such Thing As a Normal Cycle

Published on: August 30, 2021

8.0K

Adolescent girls in context: Not all patterns may be created equal.

Kari Trost1, Bassam El-Khouri2, Knut Sundell3

  • 1Department of Child and Youth Studies, Stockholm University, Sweden.

Journal for Person-Oriented Research
|February 11, 2021
PubMed
Summary

Parenting risks significantly influence adolescent development, often predicting later risk accumulation across multiple life domains. This study highlights stable patterns of risk exposure over time in adolescent girls.

Keywords:
Adolescencecontextsperson-orientedrisk patterns

More Related Videos

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.2K
Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
06:00

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila

Published on: October 1, 2011

14.2K

Related Experiment Videos

Last Updated: Nov 17, 2025

Rodent Estrous Cycle Monitoring Utilizing Vaginal Lavage: No Such Thing As a Normal Cycle
09:05

Rodent Estrous Cycle Monitoring Utilizing Vaginal Lavage: No Such Thing As a Normal Cycle

Published on: August 30, 2021

8.0K
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.2K
Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
06:00

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila

Published on: October 1, 2011

14.2K

Area of Science:

  • Developmental Psychology
  • Adolescent Risk Behavior Research

Background:

  • Extensive research identifies risk factors in parenting, neighborhood, school, and peer contexts for adolescent development.
  • Limited understanding exists regarding the Weighted Risk Phenomenon (WRP), where risks in one context influence accumulation across others.

Purpose of the Study:

  • To investigate patterns of co-existing risk characteristics across multiple domains (parenting, neighborhood, school, peers) over time in adolescent girls.
  • To explore the concept of the Weighted Risk Phenomenon (WRP) by examining how risks across different contexts interact and accumulate.

Main Methods:

  • Longitudinal study tracking adolescent girls from junior high (grade 7) through grade 9 in rural and metropolitan Sweden.
  • Analysis of risk patterns across parenting, neighborhood, school, and peer domains over a three-year period.

Main Results:

  • Stable structural and individual pathways of risk were identified across the four studied contexts.
  • Risk patterns observed in grade 7 often reappeared in grades 8 and 9, indicating temporal stability.
  • Adolescents exhibiting risk accumulation patterns frequently reported pre-existing risk factors within the parenting context.

Conclusions:

  • Parenting context appears to be a foundational element, potentially acting as a strong predictor for adolescent risk accumulation across other domains.
  • Findings provide empirical support for the Weighted Risk Phenomenon (WRP) by demonstrating how early parenting risks can shape long-term developmental trajectories.