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

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...
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...
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...
Measures of Intelligence01:29

Measures of Intelligence

Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this; it...
Data Collection by Experiments01:13

Data Collection by Experiments

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 clinical trial...
Binet's Contribution to Measures of Intelligence01:23

Binet's Contribution to Measures of Intelligence

Alfred Binet, along with his student Théophile Simon, was tasked by the French Ministry of Education in 1904 to create a method for identifying students who struggled to learn through conventional classroom instruction. This initiative aimed to address overcrowding by placing such students in specialized schools. Binet and Simon developed an intelligence test comprising 30 tasks, ranging from simple commands, like touching one's nose or ear, to more complex tasks, such as drawing designs from...

You might also read

Related Articles

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

Sort by
Same author

Neurodiversity and mental health in esports.

Frontiers in psychology·2026
Same author

A stepped-care strategy for cognitive behavioral therapy for insomnia in chronic spinal pain-protocol of a randomized clinical trial (the StepUp study).

Sleep advances : a journal of the Sleep Research Society·2026
Same author

Is Pain Intensity Associated With Sleep-Spindle Activity in Persons With Chronic Spinal Pain and Chronic Insomnia Disorder? A Polysomnography Study.

Journal of sleep research·2026
Same author

Is There a Price to Pretending? Examining the Potential Cost of (Perceived) Counterdispositional Openness.

Personality & social psychology bulletin·2026
Same author

A unifying taxonomy of dyadic emotional processes.

Trends in cognitive sciences·2026
Same author

Stable interindividual differences in modafinil's effect on vigilance during sleep deprivation.

Frontiers in pharmacology·2025

Related Experiment Video

Updated: Jul 4, 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

The Functional Measurement Experiment Builder suite: two Java-based programs to generate and run functional

Olivier Mairesse1, Joeri Hofmans, Peter Theuns

  • 1Vrije Universiteit Brussel, Faculty of Economic, Social and Political Sciences, Brussels, Belgium. olivier.mairesse@vub.ac.be

Behavior Research Methods
|June 5, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces the FM Experiment Builder, a free, user-friendly software for creating and running experiments with text or images. It supports various designs and data export, making research more accessible.

More Related Videos

Computerized Adaptive Testing System of Functional Assessment of Stroke
05:21

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
07:31

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

Related Experiment Videos

Last Updated: Jul 4, 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

Computerized Adaptive Testing System of Functional Assessment of Stroke
05:21

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
07:31

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

Area of Science:

  • Cognitive Science
  • Experimental Psychology
  • Human-Computer Interaction

Background:

  • Conducting psychological experiments often requires specialized programming skills.
  • Existing software may lack flexibility for diverse experimental designs or multilingual support.

Purpose of the Study:

  • To introduce a free, user-friendly software tool for designing and running experiments.
  • To provide a flexible platform for various experimental designs, including those for functional magnetic resonance imaging (FM) research.
  • To facilitate data collection and analysis for researchers without programming expertise.

Main Methods:

  • Development of the FM Experiment Builder software using a Java-based structure.
  • Implementation of features for generating experiments with textual or pictorial stimuli.
  • Configuration options for multilingual use, diverse response formats, and randomized, single, or multifactorial designs.

Main Results:

  • The FM Experiment Builder is a free, easy-to-use program requiring no prior programming knowledge.
  • It supports both FM and non-FM experiments with configurable designs and multilingual capabilities.
  • Outputs are Microsoft Excel compatible (.xls files) for seamless integration with statistical software.

Conclusions:

  • The FM Experiment Builder democratizes experimental research by providing an accessible, versatile tool.
  • Its cross-platform compatibility (Windows, Macintosh) and small file size (< 1 MB) enhance its utility and distribution.
  • The software simplifies the process of experiment generation, execution, and data management for researchers.