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

Calculating pH Changes in a Buffer Solution02:45

Calculating pH Changes in a Buffer Solution

58.6K
A buffer can prevent a sudden drop or increase in the pH of a solution after the addition of a strong acid or base up to its buffering capacity; however, such addition of a strong acid or base does result in the slight pH change of the solution. The small pH change can be calculated by determining the resulting change in the concentration of buffer components, i.e., a weak acid and its conjugate base or vice versa. The concentrations obtained using these stoichiometric calculations can be used...
58.6K
Statistical Significance01:50

Statistical Significance

21.8K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
21.8K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

9.9K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
9.9K
Probability in Statistics01:14

Probability in Statistics

23.4K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
23.4K
Nursing Code of Ethics01:29

Nursing Code of Ethics

4.5K
The Nursing Code of Ethics sets the ethical benchmark for the profession, and guides nurses in ethical analysis and decision making at the societal, organizational, and clinical levels. The code encompasses showing compassion and respect for the patient, their families, and communities in all circumstances while committing to providing patient-centered care. In addition, the code states that nurses must advocate for the patient by defending a cause or recommendation to protect their rights,...
4.5K
Introduction to Statistics01:17

Introduction to Statistics

63.8K
The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
63.8K

You might also read

Related Articles

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

Sort by
Same author

Effect Size Rules of Thumb for One-Dimensional Functional Data With an Application to Gait Analysis.

Statistics in medicine·2026
Same author

How Listening to and Remembering Accented and Non-Accented Speech Influences Walking Mechanics.

Ear and hearing·2026
Same author

Ear-Worn Inertial Sensors Can Predict Gait Metrics and Reconstruct Vertical Ground Reaction Force Curves During Running.

Journal of applied biomechanics·2026
Same author

Prediction of on-field rugby scrummaging contact forces from videos using artificial neural networks.

PloS one·2026
Same author

Comparison of Circular and Ellipse-Based Methods for Assessing Coordination Variability.

Journal of applied biomechanics·2026
Same author

Speed-Dependent Multivariate Coordination Variability Using an Ellipse-Based Vector Coding Method.

Journal of motor behavior·2026

Related Experiment Video

Updated: Jan 31, 2026

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

20.5K

Applying circular statistics can cause artefacts in the calculation of vector coding variability: A bivariate

Holly Stock1, Richard van Emmerik2, Cassie Wilson1

  • 1Department for Health, University of Bath, UK.

Gait & Posture
|December 19, 2018
PubMed
Summary

A statistical artefact can inflate coordination variability in vector coding (VC) methods, especially with short vector lengths. An Ellipse Area Method offers a more reliable alternative for analyzing motor coordination.

Keywords:
Bivariate statisticsCircular statisticsCoordination variabilityGaitMovement coordination

More Related Videos

Use of Alu Element Containing Minigenes to Analyze Circular RNAs
13:10

Use of Alu Element Containing Minigenes to Analyze Circular RNAs

Published on: March 10, 2020

7.7K
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.8K

Related Experiment Videos

Last Updated: Jan 31, 2026

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

20.5K
Use of Alu Element Containing Minigenes to Analyze Circular RNAs
13:10

Use of Alu Element Containing Minigenes to Analyze Circular RNAs

Published on: March 10, 2020

7.7K
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.8K

Area of Science:

  • Biomechanics
  • Motor Control
  • Sports Science

Background:

  • Coordination variability analysis is crucial for understanding motor learning, skill, and injury prevention.
  • Current vector coding (VC) methods rely on circular statistics, which may introduce artefacts.
  • These artefacts can artificially inflate coordination variability, particularly with short VC vectors.

Purpose of the Study:

  • To investigate if popular vector coding (VC) methods for coordination variability are susceptible to statistical artefacts.
  • To determine how coordination variability can be calculated without these artefacts.
  • To assess the impact of artefacts on running gait data.

Main Methods:

  • Utilized simulated data to demonstrate the existence and extent of the statistical artefact.
  • Employed experimental running gait data to analyze the artefact's effect on real-world data.
  • Proposed and applied an alternative method using ellipse area as a bivariate measure of variability.

Main Results:

  • Simulated data confirmed a statistical artefact in VC methods, exacerbated by shorter vector lengths.
  • The artefact typically presents as inflated peaks in coordination variability.
  • Experimental running gait data revealed prevalent short vector lengths, and the Ellipse Area Method showed no such artefact-related bias.

Conclusions:

  • Researchers using current VC variability measures must be aware of potential artefact contamination, especially with short vectors.
  • The proposed Ellipse Area Method provides a robust alternative for coordination variability analysis.
  • This novel approach may form the basis for future advancements in VC coordination variability research.