Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Wilcoxon Signed-Ranks Test for Matched Pairs

Wilcoxon Signed-Ranks Test for Matched Pairs

The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...

Moment of a Force: Problem Solving

Moment of a Force: Problem Solving

Understanding the scalar formulation of the moment of a force and applying it correctly through problem-solving is crucial in designing and analyzing mechanical systems. Here are the steps for problem-solving with the moment of a force:

Sign Test for Matched Pairs

Sign Test for Matched Pairs

The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...

Multiple Comparison Tests

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...

Force Classification

Force Classification

Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...

Relationship Formation

Relationship Formation

What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...

You might also read

Related Articles

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

Sort by

Same author

A three-arm randomised controlled trial comparing ultra-low intensity interventions for gratitude vs. things you do vs. waitlist control for depression and anxiety in health professionals.

Behaviour research and therapy·2026

Same author

A large language model framework for sample-free population synthesis.

PloS one·2026

Same author

Integrating enriched case data from national laboratory testing with population-based case-control analyses: a novel statistical likelihood-ratio methodology for PS4 applied to 325,345 breast cancer cases and 671,006 controls.

medRxiv : the preprint server for health sciences·2026

Same author

Impact of Restriction-Resumption Protocols on Mood and Anxiety in Healthy Adults: Randomized Controlled Trial.

JMIR formative research·2026

Same author

A Clinical Practice Update for the Management of Patients With Disorders of Gut-Brain Interaction and Altered Food Intake Behavior.

Neurogastroenterology and motility·2026

Same author

Changes in Psychological States During Instrumented Biofeedback for Dyssynergic Defaecation and Fecal Incontinence Are Associated With Changes in Patient-Reported Outcomes.

Neurogastroenterology and motility·2026

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

Search research articles

Related Experiment Video

Updated: Aug 31, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

Methodological considerations for the force-matching task.

David McNaughton¹, Rhys Hope², Emily Gray²

¹School of Psychological Sciences, Macquarie University, Balaclava Road, Sydney, Australia. david.mcnaughton@mq.edu.au.

Behavior Research Methods

|August 24, 2022

Summary

This summary is machine-generated.

This study refines the force-matching task for measuring sensory attenuation. Methodological improvements allow for reduced replications and a specific time window, enhancing efficiency and reliability.

Keywords:

Force-matching Methodology Perception Sensorimotor Sensory attenuation

More Related Videos

A Two-interval Forced-choice Task for Multisensory Comparisons

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

One Dimensional Turing-Like Handshake Test for Motor Intelligence

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

Related Experiment Videos

Last Updated: Aug 31, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

A Two-interval Forced-choice Task for Multisensory Comparisons

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

One Dimensional Turing-Like Handshake Test for Motor Intelligence

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

Area of Science:

Neuroscience
Haptic Technology
Psychophysics

Background:

The force-matching task assesses sensory attenuation to somatic stimuli using haptic and electrical engineering principles.
Existing methodology lacks recent re-evaluation, impacting reliability and replicability of sensory attenuation estimates.
Current protocols require optimization for efficiency and consistency in experimental procedures.

Purpose of the Study:

To optimize the force-matching task methodology for reliable sensory attenuation estimation.
To determine the optimal number of target force replications and time window for data extraction.
To evaluate performance stability and the influence of psychological traits on learning effects.

Main Methods:

Analysis of data from 138 participants performing the force-matching task under direct and indirect (slider) conditions.
Investigated optimal number of replications (2, 4, 6, 8) and time windows (1-3 s) for force estimation.
Assessed performance changes across the experiment and correlation with psychological traits.

Main Results:

The number of replications can be reduced from 8 without compromising sensory attenuation estimates.
The optimal time window for extracting matched force estimates is 2.5-3.0 seconds.
Participant performance remained stable throughout the experiment and was not influenced by psychological traits.

Conclusions:

Methodological refinements enhance the efficiency and reliability of the force-matching task.
Reduced replications and a defined time window streamline the assessment of sensory attenuation.
The force-matching task provides stable and reliable measures of sensory attenuation, independent of psychological factors.