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

Statistical Significance01:50

Statistical Significance

21.1K
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...
21.1K
Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish14:43

Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish

8.5K
This work presents a protocol to administrate Spanish Curriculum-Based Measures for the early detection of reading, math, and writing difficulties. These tools could help practitioners and applied researchers working in the context of the Response to Intervention...
8.5K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

6.0K
Standard EEG analysis techniques offer limited insight into nervous system function. Deriving statistical models of cortical connectivity offers far greater ability to investigate underlying network dynamics. Improved functional assessment opens new possibilities for diagnosis, prognostication, and outcome prediction in nervous system...
6.0K
Meaning of Ratios01:30

Meaning of Ratios

572
Financial ratios are vital analytical tools that help stakeholders understand a business's financial condition, performance, and trends. Ratios are derived from a company's financial statements. These ratios simplify complex financial information into understandable metrics that compare financial aspects. They enable investors, analysts, and managers to comprehensively evaluate a company's financial health, making ratios essential for effective financial analysis and...
572
Mutual Exclusivity: How Children Learn the Meanings of Words05:18

Mutual Exclusivity: How Children Learn the Meanings of Words

34.0K
Source: Laboratories of Nicholaus Noles and Judith Danovitch—University of Louisville
Humans are different from other animals in many ways, but perhaps the most important differentiating factor is their ability to use language. Other animals can communicate and even understand and use language in limited ways, but trying to teach human language to a chimp or a dog takes a great deal of time and effort. In contrast, young humans acquire their native language easily, and they learn...
34.0K
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

853
In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
853

You might also read

Related Articles

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

Sort by
Same author

Identifying Systems Developed for Classifying Physiotherapy Interventions in Neurological Rehabilitation: A Scoping Review.

Physiotherapy Canada. Physiotherapie Canada·2026
Same author

Positive and negative mental health care experiences among transgender and non-binary people in Canada.

Journal of psychiatric research·2026
Same author

Evaluation of s-EMG Sensor Locations for Upper-Limb Compensatory Movement Detection.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Descriptive intersectional analyses of mental health outcomes for transgender and non-binary people: a conditional inference tree approach.

Social psychiatry and psychiatric epidemiology·2026
Same author

Retraction notice to "Correlates of hazardous alcohol drinking among trans and non-binary people in Canada: A community-based cross-sectional study" [Drug Alcohol Dependence 250 (2023) 110872].

Drug and alcohol dependence·2025
Same author

Stepwise considerations when using artificial intelligence tools for administrative tasks in primary care.

Canadian family physician Medecin de famille canadien·2025

Related Experiment Video

Updated: Jan 19, 2026

Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish
14:43

Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish

Published on: July 18, 2020

8.5K

Math versus meaning in MAIHDA: A commentary on multilevel statistical models for quantitative intersectionality.

Daniel J Lizotte1, Mayuri Mahendran2, Siobhan M Churchill2

  • 1Department of Computer Science, Faculty of Science and Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, Canada.

Social Science & Medicine (1982)
|September 8, 2019
PubMed
Summary

Multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) may not accurately reflect intersectional advantage or disadvantage in quantitative research. Careful interpretation combining fixed and random effects is crucial for valid health inequality analysis.

Keywords:
Health inequalitiesIntersectionalityMultilevel modellingQuantitative methods

More Related Videos

Statistical Significance: p-Value
01:50

Statistical Significance: p-Value

21.1K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

6.0K

Related Experiment Videos

Last Updated: Jan 19, 2026

Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish
14:43

Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish

Published on: July 18, 2020

8.5K
Statistical Significance: p-Value
01:50

Statistical Significance: p-Value

21.1K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

6.0K

Area of Science:

  • Quantitative social sciences
  • Health equity research
  • Statistical methodology

Background:

  • Intersectionality is increasingly used in quantitative research, but its congruence with statistical methods is debated.
  • Existing methods may not fully capture complex intersectional effects, impacting health inequality research.
  • Multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) is proposed for efficient, high-dimensional intersectional analysis.

Purpose of the Study:

  • To evaluate the congruence between intersectionality theory and statistical methodology in quantitative research.
  • To assess the suitability of MAIHDA for analyzing health inequalities and informing remediation strategies.
  • To test MAIHDA's performance in scenarios with known ground truth regarding intersectional effects.

Main Methods:

  • Simulation analysis using data generating scenarios with known intersectional effects.
  • Application of MAIHDA variants and ordinary least squares regression to simulated data.
  • Observation and comparison of effect estimates produced by different statistical methods.

Main Results:

  • MAIHDA's first-order fixed effects do not represent standard interpretations of effects on mean outcomes.
  • MAIHDA's random effects alone do not indicate advantage or disadvantage for intersectional groups.
  • Meaningful interpretation requires combining both fixed and random effects in MAIHDA.

Conclusions:

  • Caution is advised when interpreting MAIHDA results in quantitative intersectional analyses.
  • MAIHDA requires careful application and interpretation to accurately reflect intersectional advantage or disadvantage.
  • Further methodological development may be needed for robust intersectional quantitative research.