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

Community Based Intervention01:30

Community Based Intervention

241
Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
241
Group Design02:01

Group Design

10.1K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.1K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

328
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
328
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

817
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
817
Experimental Designs01:16

Experimental Designs

16.5K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
16.5K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

514
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
514

You might also read

Related Articles

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

Sort by
Same author

Exploring the integration of arts-informed methods in self-harm research.

Arts & health·2026
Same author

Understanding outcomes and resilience factors among refugee and immigrant youth exposed to domestic violence in host countries: A scoping review.

Child abuse & neglect·2026
Same author

Advancing resilience science through cross-domain integration: Proceedings of an NIH workshop.

Neuroscience and biobehavioral reviews·2026
Same author

Resilience among South African high school students in communities experiencing continuous traumatic stress: A multisystemic perspective.

Psychological trauma : theory, research, practice and policy·2026
Same author

Debate: Young people are living in unprecedented times - too much chaos or too little resilience?: an argument to talk less about resilience.

Child and adolescent mental health·2026
Same author

Multisystemic resilience of Ukrainian youth following forced migration: Navigating space, place, and people.

Psychological trauma : theory, research, practice and policy·2026

Related Experiment Video

Updated: Jan 3, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.6K

Methodological strategies for evaluating youth gang prevention programs.

Joshua Brisson1, Igor Pekelny1, Michael Ungar1

  • 1Resilience Research Centre, Dalhousie University, 6420 Coburg Road, PO Box 15000, Halifax, B3H 4R2, Canada.

Evaluation and Program Planning
|November 26, 2019
PubMed
Summary

Evaluating youth gang prevention programs presents challenges in design, implementation, and data collection, especially in unstable environments. Lessons learned can improve future interventions for youth violence prevention.

Keywords:
Comparative case studiesEvaluationEvaluation challengesModel fidelityMost significant changeQuasi-experimental designYouth gang preventionYouth violence prevention

More Related Videos

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.6K
Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

4.3K

Related Experiment Videos

Last Updated: Jan 3, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.6K
The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.6K
Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

4.3K

Area of Science:

  • Criminology
  • Public Health
  • Program Evaluation

Background:

  • Community-based interventions are crucial for preventing youth violence.
  • Evaluating programs in high-risk environments poses unique methodological challenges.
  • Federally funded programs require rigorous assessment for effectiveness.

Purpose of the Study:

  • To identify common challenges and lessons learned in evaluating Canadian federally funded gang prevention programs.
  • To provide recommendations for improving evaluations of youth violence prevention initiatives.
  • To discuss complexities in evaluating community projects in unstable settings.

Main Methods:

  • Case study analysis of three federally funded Canadian gang prevention programs.
  • Reflection on evaluation design, implementation, data analysis, and reporting.
  • Discussion of specific issues: quasi-experimental designs, model fidelity, documentation, recruitment, retention, and data collection.

Main Results:

  • Evaluations face difficulties with quasi-experimental designs and ensuring model fidelity.
  • Client recruitment, retention, and data collection are significant hurdles.
  • Working in dangerous or unstable environments complicates program evaluation.

Conclusions:

  • Improved evaluation strategies are needed for youth gang prevention programs.
  • Recommendations focus on enhancing evaluation design and implementation in community settings.
  • Addressing challenges in unstable environments is key to successful program assessment.