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

Correlations02:20

Correlations

35.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.8K
Correlation and Causation01:27

Correlation and Causation

42.1K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.1K
Energy Basics02:27

Energy Basics

47.3K
Chemical reactions, such as those that occur when you light a match, involve changes in energy as well as matter.
47.3K
Correlation01:09

Correlation

14.8K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
14.8K
Basic Operations on Signals01:22

Basic Operations on Signals

1.1K
Basic signal operations include time reversal, time scaling, time shifting, and amplitude transformations. These operations are fundamental in signal processing and analysis.
Time Reversal mirrors a continuous-time signal about the vertical axis at t=0. This is achieved by substituting t with −t. For example, if a signal x(t) is considered, the time-reversed signal is x(−t). This operation can be graphically represented, showing the mirrored signal.
1.1K
Basicity of Aliphatic Amines01:21

Basicity of Aliphatic Amines

6.8K
Amines can behave as Brønsted–Lowry bases by accepting a proton from the acid to form corresponding conjugate acids. Due to a lone pair of nonbonding electrons, aliphatic amines can also act as Lewis bases by forming a covalent bond with an electrophile.
To measure the basicity of amines, two conventions are generally used. The first defines Kb as the basicity constant for the deprotonation reaction of water by the amine, as presented in Figure 1. Conventionally, lower Kb indicates higher...
6.8K

You might also read

Related Articles

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

Sort by
Same author

Finding the way - nursing staff's perceptions and experiences of outdoor walks with residents in dementia care homes: a qualitative study.

BMC nursing·2025
Same author

Navigating life after multiple amputations: a qualitative exploration of rehabilitation and everyday challenges in Norway.

Frontiers in rehabilitation sciences·2025
Same author

Resilience and adaptations-insights from Norwegian adolescents with pediatric-onset spinal cord injury.

Frontiers in rehabilitation sciences·2025
Same author

Physiotherapists' User Acceptance of a Lower Limb Robotic Exoskeleton in Specialized Rehabilitation: Qualitative Exploratory Study.

JMIR rehabilitation and assistive technologies·2025
Same author

Preferences for an eHealth tool to support physical activity and exercise training in COPD: a qualitative study from the viewpoint of prospective users.

BMC pulmonary medicine·2023
Same author

Pediatric spinal cord injury rehabilitation: A protocol for an international multicenter project (SINpedSCI).

Journal of pediatric rehabilitation medicine·2022

Related Experiment Video

Updated: Jan 21, 2026

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

7.4K

Intraclass correlation - A discussion and demonstration of basic features.

David Liljequist1, Britt Elfving2, Kirsti Skavberg Roaldsen2,3,4

  • 1Department of Physics, Stockholm University, Stockholm, Sweden.

Plos One
|July 23, 2019
PubMed
Summary

This study simplifies intraclass correlation (ICC) theory and offers a practical guide for reliability studies. It suggests using all three ICC formulas impartially to detect bias and ensure accurate reliability assessment.

More Related Videos

Correlative Light- and Electron Microscopy Using Quantum Dot Nanoparticles
11:16

Correlative Light- and Electron Microscopy Using Quantum Dot Nanoparticles

Published on: August 7, 2016

10.1K
Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

14.8K

Related Experiment Videos

Last Updated: Jan 21, 2026

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

7.4K
Correlative Light- and Electron Microscopy Using Quantum Dot Nanoparticles
11:16

Correlative Light- and Electron Microscopy Using Quantum Dot Nanoparticles

Published on: August 7, 2016

10.1K
Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

14.8K

Area of Science:

  • Statistics
  • Biostatistics
  • Psychometrics

Background:

  • Intraclass correlation (ICC) is a key metric for assessing reliability in various fields.
  • Existing ICC theory and application can be complex, potentially leading to misinterpretation.
  • A need exists for a simplified and robust approach to ICC analysis in reliability studies.

Purpose of the Study:

  • To re-analyze intraclass correlation (ICC) theory and provide simplified guidelines for its application.
  • To develop a practical method for reliability studies that accommodates potential bias.
  • To clarify the interpretation of different ICC formulas in the presence or absence of systematic error.

Main Methods:

  • Re-analysis of single-score intraclass correlation (ICC) theory.
  • Monte Carlo simulations to examine ICC probability distributions.
  • Comparison of three single-score ICC formulas (absolute agreement and consistency).
  • Utilizing an F-test to detect the presence of bias (systematic error).

Main Results:

  • A simplified theory and practical recipe for single-score ICC are presented.
  • Impartial use of all three ICC formulas is recommended, avoiding pre-selection of statistical models.
  • Near equality of ICC values suggests no bias; a larger consistency ICC than absolute agreement ICC indicates bias.
  • The classical (one-way random) ICC is valid only in the absence of bias.

Conclusions:

  • The choice of statistical model is not a prerequisite for reliability analysis using ICC.
  • Comparing absolute agreement and consistency ICC values effectively identifies bias.
  • In cases of bias, reporting both absolute agreement and consistency ICC provides complementary reliability information.
  • An F-test can confirm the presence of bias, guiding the appropriate use of ICC measures.