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

Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

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...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

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 case-control studies.
What is an Experiment?01:12

What is an Experiment?

An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...

You might also read

Related Articles

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

Sort by
Same author

Ultrasoft, adhesive, pH-tunable hydrogel based on in situ functionalized laser-induced graphene for through-hair concurrent biosensing.

Science advances·2026
Same author

Paintable on-skin dry electrodes with robust skin and device connection for wireless sensing and human-machine interfaces.

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

Behavioral and Psychological Financial Hardship Among Caregivers of Pediatric Cancer Patients.

Cancer medicine·2026
Same author

The VvBZR1-VvHY5 Module Integrates Brassinosteroid and Light Signaling to Regulate Anthocyanin Biosynthesis in Grape.

Plant, cell & environment·2026
Same author

[Polydatin attenuates high copper induced damage in Atp7b knockout neural stem cells by regulating PPARG mediated ferroptosis].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences·2026
Same author

The role of rurality and race/ethnicity in thyroid cancer stage at diagnosis and survival among adolescents and young adults in the United States: an analysis of 2000-2021 SEER data.

Cancer causes & control : CCC·2026

Related Experiment Video

Updated: May 10, 2026

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

Using mixed methods effectively in prevention science: designs, procedures, and examples.

Wanqing Zhang1, Shinobu Watanabe-Galloway

  • 1Department of Health Services Research and Administration, College of Public Health, University of Nebraska Medical Center, 984350 University of Nebraska Medical Center, Omaha, NE, 68198-4350, USA, wazhang@unmc.edu.

Prevention Science : the Official Journal of the Society for Prevention Research
|June 27, 2013
PubMed
Summary

Mixed methods research combines qualitative and quantitative approaches to strengthen evidence for health programs. This approach offers generalizable results and deep insights, but requires expertise and collaboration.

More Related Videos

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

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

Related Experiment Videos

Last Updated: May 10, 2026

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

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

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

Area of Science:

  • Health prevention research
  • Social and health sciences
  • Intervention program evaluation

Background:

  • Growing interest in mixed methods research across disciplines.
  • Increased recognition of the value of mixed methods for addressing complex research questions.
  • Mixed methods research is emerging as a significant approach in social and health sciences.

Purpose of the Study:

  • To illustrate the application of mixed methods in prevention research.
  • To discuss concurrent and sequential mixed methods designs.
  • To highlight the advantages of integrating qualitative and quantitative data.

Main Methods:

  • Review of published research articles employing mixed methods designs.
  • Focus on concurrent and sequential mixed methods designs.
  • Discussion of data collection, integration, and design selection procedures.

Main Results:

  • Qualitative research explores complex phenomena in prevention science.
  • Quantitative data provides generalizable results.
  • Mixed methods yield both generalizable findings and extensive insights.

Conclusions:

  • Mixed methods research enhances evidence generation for health interventions.
  • Methodological rigor in mixed methods requires expertise in both qualitative and quantitative approaches.
  • Successful mixed methods application necessitates interdisciplinary collaboration and researcher open-mindedness.