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

12.1K
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...
12.1K
The Scientific Method02:40

The Scientific Method

61.4K
Research is what makes the difference between facts and opinions. Facts are observable realities, and opinions are personal judgments, conclusions, or attitudes that may or may not be accurate. In the scientific community, facts can be established only using evidence collected through empirical research.
61.4K
Data Collection by Experiments01:13

Data Collection by Experiments

25.1K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
25.1K
Randomized Experiments01:13

Randomized Experiments

7.2K
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...
7.2K
Modeling and Similitude01:12

Modeling and Similitude

325
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
325
Group Design02:01

Group Design

9.5K
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...
9.5K

You might also read

Related Articles

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

Sort by
Same author

Investigating the analytical robustness of the social and behavioural sciences.

Nature·2026
Same author

Harnessing Marine Algae for Sustainable Agriculture: Natural Bioactive Compounds as Eco-Friendly Pesticidal Agents.

Marine drugs·2025
Same author

Evidence for separate backward recall and <i>n</i>-back working memory factors: a large-scale latent variable analysis.

Memory (Hove, England)·2024
Same author

Using games to understand the mind.

Nature human behaviour·2024
Same author

Role of Elevated Serum TGF-β1 and the Common Promoter <i>TGFB1</i>-509C/T Polymorphism in the Development and Progression of Primary Glial Tumors and Brain Metastases.

Medicina (Kaunas, Lithuania)·2024
Same author

Can speech perception deficits cause phonological impairments? Evidence from short-term memory for ambiguous speech.

Journal of experimental psychology. General·2023
Same journal

Planned missingness in intensive longitudinal studies: Extensions and comparisons of multiform designs.

Behavior research methods·2026
Same journal

A validity-guided workflow for robust large language model research in psychology.

Behavior research methods·2026
Same journal

Are 7-point Likert scales preferable to 5-point scales in language research?

Behavior research methods·2026
Same journal

Generative psychometrics via AI-GENIE: Automatic item generation and validation with network-integrated evaluation.

Behavior research methods·2026
Same journal

Exploring psychological tradeoffs: Developing and demonstrating an R Shiny app for Pareto optimization.

Behavior research methods·2026
Same journal

The performance of Bayesian fit measures in detecting misspecified multilevel structural equation modeling.

Behavior research methods·2026
See all related articles

Related Experiment Video

Updated: Sep 6, 2025

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.6K

Simulating behavior to help researchers build experiments.

Joshua R de Leeuw1, Rebecca A Gilbert2, Nikolay Petrov3

  • 1Department of Cognitive Science, Vassar College, Poughkeepsie, NY, USA. jdeleeuw@vassar.edu.

Behavior Research Methods
|June 29, 2022
PubMed
Summary
This summary is machine-generated.

Automated simulation of participant behavior significantly speeds up the testing of behavioral experiments. This approach reduces manual effort, making experiment testing more efficient and comprehensive for researchers.

Keywords:
AutomationBehavioral experimentsMethodologySimulationjsPsych

More Related Videos

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

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

Published on: September 4, 2019

7.1K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.6K

Related Experiment Videos

Last Updated: Sep 6, 2025

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.6K
A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

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

Published on: September 4, 2019

7.1K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.6K

Area of Science:

  • Cognitive Science
  • Psychology
  • Human-Computer Interaction

Background:

  • Thorough testing of behavioral experiments is crucial for result validity.
  • Manual experiment testing is time-consuming and costly, limiting comprehensiveness.
  • Existing software development practices often leverage automation for efficient testing.

Purpose of the Study:

  • To introduce an automated approach for testing behavioral experiments.
  • To reduce the time and cost associated with manual experiment testing.
  • To enhance the efficiency and thoroughness of experiment development.

Main Methods:

  • Developed a method for automated simulation of participant behavior.
  • Utilized experiment code to automatically generate plausible participant actions.
  • Implemented the approach using the jsPsych framework.

Main Results:

  • Demonstrated a substantial reduction in time required for experiment testing.
  • Provided four scenarios showcasing the benefits of automated simulation.
  • Made accompanying code and demos publicly available for practical application.

Conclusions:

  • Automated simulation of participant behavior offers a powerful solution for efficient experiment testing.
  • This method can improve the quality and reliability of behavioral research.
  • Researchers can benefit from adopting automated simulation to streamline experiment development.