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

Experimental Designs01:16

Experimental Designs

11.3K
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...
11.3K
What is an Experiment?01:12

What is an Experiment?

11.6K
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...
11.6K
Group Design02:01

Group Design

8.9K
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...
8.9K
Ethics in Research01:56

Ethics in Research

23.0K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
23.0K
Controls in Experiments01:13

Controls in Experiments

7.7K
When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
7.7K
Randomized Experiments01:13

Randomized Experiments

6.9K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
6.9K

You might also read

Related Articles

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

Sort by
Same author

Developing and Piloting an Instrument to Prioritize the Worries of Female Youth with a Physical Disability and Mothers during the Transition to Adulthood.

MDM policy & practice·2026
Same author

From framework to practice: applying the proteus-practice framework to learn lessons for integrating PROs in clinical care.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026
Same author

Wastewater Surveillance to Inform Cancer Epidemiology and Evidence-Based Interventions.

Environmental science & technology·2026
Same author

Factors Influencing Physician Adherence to Venous Thromboembolism Risk Assessment Model Recommendations: A Best-Worst Scaling.

American journal of cardiovascular drugs : drugs, devices, and other interventions·2026
Same author

Developing a Novel Values Elicitation Measure for Clinical Use in Older Adults with Hematologic Malignancies: Values-HM.

MDM policy & practice·2026
Same author

The concerns of mothers of female youth with physical disabilities in transitioning to adulthood: A qualitative study.

Journal of pediatric rehabilitation medicine·2026

Related Experiment Video

Updated: Jul 2, 2025

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
00:08

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

7.0K

Pretesting Discrete-Choice Experiments: A Guide for Researchers.

Nicola B Campoamor1, Christi J Guerrini2, Whitney Bash Brooks2

  • 1Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, USA.

The Patient
|February 16, 2024
PubMed
Summary

Pretesting discrete-choice experiments (DCEs) is crucial for valid health preference data. This paper provides a guide and example for rigorous DCE pretesting to improve survey design and data quality.

More Related Videos

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
09:07

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Published on: September 16, 2015

9.0K
Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
09:17

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior

Published on: July 24, 2017

11.3K

Related Experiment Videos

Last Updated: Jul 2, 2025

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
00:08

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

7.0K
Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
09:07

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Published on: September 16, 2015

9.0K
Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
09:17

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior

Published on: July 24, 2017

11.3K

Area of Science:

  • Health economics
  • Behavioral science
  • Survey methodology

Background:

  • Discrete-choice experiments (DCEs) are widely used to assess health preferences.
  • Effective DCE design relies on pretesting to ensure instrument quality.
  • Lack of standardized pretesting practices hinders rigorous DCE application.

Purpose of the Study:

  • To define and contextualize pretesting for DCEs.
  • To offer a practical guide and interview template for DCE pretesting.
  • To illustrate DCE pretesting with an example from investigative genetic genealogy.

Main Methods:

  • Literature review to define pretesting in DCEs.
  • Development of a practical guide and interview template.
  • Case study application of the pretesting methodology.

Main Results:

  • A structured definition and process for DCE pretesting.
  • A comprehensive guide and interview template for researchers.
  • Demonstration of pretesting's utility in a complex DCE scenario.

Conclusions:

  • Standardized pretesting is essential for robust DCEs.
  • The provided guide and template facilitate rigorous pretesting.
  • Effective pretesting enhances the validity and reliability of health preference data.