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

Quantitative Analysis01:12

Quantitative Analysis

Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the method...
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Biostatistics: Overview01:20

Biostatistics: Overview

Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
The Scientific Method in Nursing Process01:18

The Scientific Method in Nursing Process

The scientific method provides the foundation for any research. It is the most reliable and objective of all forms of gaining knowledge and guides in applying research-based evidence in practice and conducting future research.
When using research findings to change practice, one must understand the process used to guide a study. The scientific method is a systematic, step-by-step process that supports the data's validity, reliability, and generalizability. As a result, findings can be safely...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...

You might also read

Related Articles

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

Sort by
Same author

Training climate matters: programmatic openness, individual belonging, and trainee mistreatment in graduate medical education.

Medical education online·2026
Same author

"Empty Places…People Could Not See": Structural Barriers Faced by US-Based International Medical Graduates.

Teaching and learning in medicine·2026
Same author

Strategies for Mixed-Methods Research in Health Professions Education Research.

Family medicine·2026
Same author

Mobility assistance preferences and device adoption among community-dwelling older adults in Taiwan.

Journal of safety research·2026
Same author

Leadership Matters: Protective Factors for Burnout in Military Healthcare Workers.

Military medicine·2026
Same author

Operation Gunpowder Leader Performance as a Predictor of Operation Bushmaster Leader Performance.

Military medicine·2026
Same journal

A Practical Framework for Teaching Women's Health Procedures.

Family medicine·2026
Same journal

Quantifying the Disrupted Pathway: The Representation Gap for Hispanics/Latinos in Academic Family Medicine Leadership.

Family medicine·2026
Same journal

Comment on "Redefining Value in Family Medicine Obstetrics: A Pathway to Sustainable Rural Maternity Care".

Family medicine·2026
Same journal

The Power of Presence.

Family medicine·2026
Same journal

Advancing Hybrid Interviewing: From Bias Concerns to Assessment Quality.

Family medicine·2026
Same journal

Seeing Beneath the Surface.

Family medicine·2026
See all related articles

Related Experiment Video

Updated: May 10, 2026

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
05:26

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Published on: January 7, 2019

Overview of Quantitative Research.

TingLan Ma1, Yen Lee1

  • 1Department of Health Professions Education, Uniformed Services University, Bethesda, MD.

Family Medicine
|May 8, 2026
PubMed
Summary
This summary is machine-generated.

Quantitative research uses data to improve medical education and training outcomes. This guide helps educators apply statistical methods for better program evaluation and understanding of learner progress.

More Related Videos

Using Learning Outcome Measures to assess Doctoral Nursing Education
10:07

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

Related Experiment Videos

Last Updated: May 10, 2026

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
05:26

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Published on: January 7, 2019

Using Learning Outcome Measures to assess Doctoral Nursing Education
10:07

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

Area of Science:

  • Medical Education Research
  • Quantitative Research Methods

Background:

  • Quantitative research is crucial for understanding and enhancing medical education.
  • Statistical methods enable the measurement of change, pattern identification, and evaluation of educational initiatives.

Purpose of the Study:

  • To guide medical and family medicine educators in effectively applying quantitative research methods.
  • To enhance confidence and clarity in using quantitative data for educational improvement.

Main Methods:

  • Discusses the connection between research questions and study design.
  • Covers common quantitative approaches: experimental, quasi-experimental, and correlational studies.
  • Highlights practical data collection techniques: surveys, observations, and existing records.

Main Results:

  • Provides examples of quantitative methods applied to program evaluation, learner progress, and innovation testing in medical education.
  • Identifies common challenges in quantitative research, such as sample size limitations and confounding association with causation.
  • Offers strategies to overcome these research challenges.

Conclusions:

  • Effective application of quantitative methods can significantly improve medical education.
  • Clinician-educators can benefit from clear guidance on using data to assess and advance educational practices.