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

Inequalities01:28

Inequalities

314
Inequalities express mathematical relationships where two values are not equal and are compared using symbols such as <, >, ≤, or ≥. These expressions define a range of possible solutions rather than a single value. Interval notation provides a concise way to express these solution sets, especially when the variable spans a continuous range. An open interval, written as (a, b), excludes the endpoints, while a closed interval [a, b] includes them. There are also half-open...
314
Absolute Value Inequalities01:23

Absolute Value Inequalities

333
The absolute value is a mathematical tool that represents the distance of a number from zero on the number line, regardless of its sign. In the context of inequalities, absolute value expressions help define a range of permissible values or boundaries for a variable. These inequalities are commonly used in scientific modeling and data interpretation, where variability within or beyond a certain threshold must be captured precisely.An absolute value inequality of the form ∣x∣ ≤...
333
Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

203
The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
203
Solving Inequalities Graphically01:24

Solving Inequalities Graphically

242
Solving inequalities graphically involves using a visual approach to determine where a mathematical expression meets a specific condition, such as being greater than or less than another value. By examining the position of a graph relative to the x-axis or another graph, it becomes possible to identify the range of x-values that satisfy the inequality. This method provides an intuitive understanding of solution intervals by showing where the inequality holds true.Graphical solutions to...
242
Application of Nonlinear Inequalities01:29

Application of Nonlinear Inequalities

249
A nonlinear inequality describes a comparison involving an expression that curves or behaves more complexly than a straight line. These inequalities often appear in forms that include squares, products, or variables in the denominator.To solve such an inequality, one starts by rewriting it so that zero appears on one side. For example, the inequality:  can be factored as: This form makes it easier to identify the values that cause the expression to equal zero. In this case, the...
249
Introduction to Nonlinear Inequalities01:25

Introduction to Nonlinear Inequalities

222
Linear and nonlinear inequalities are fundamental for analyzing variable relationships and identifying ranges satisfying specific conditions. A linear inequality involves variables raised only to the first power, resulting in a straight-line graph. This line partitions the coordinate plane into two distinct regions: one that satisfies the inequality and one that does not. Each region represents a set of solutions where the linear relationship holds true under the specified constraint.Nonlinear...
222

You might also read

Related Articles

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

Sort by
Same author

Social Relationships, Wealth, and Cardiometabolic Risk: Evidence from a National Longitudinal Study of U.S. Older Adults.

Journal of aging and health·2022
Same author

Meta-analysis of interpersonal discrimination and health-related behaviors.

Health psychology : official journal of the Division of Health Psychology, American Psychological Association·2022
Same author

The Sexual Rights of Others: Majoritized Women's Support for Marginalized Women's Sexual Rights.

Journal of sex research·2021
Same author

If It Wasn't Rape, Was It Sexual Assault? Comparing Rape and Sexual Assault Acknowledgment in College Women Who Have Experienced Rape.

Violence against women·2018
Same author

Necessary considerations for a life course perspective on discrimination and health.

Social science & medicine (1982)·2018
Same author

Repairing the Leaky Pipeline: A Motivationally Supportive Intervention to Enhance Persistence in Undergraduate Science Pathways.

Contemporary educational psychology·2018

Related Experiment Video

Updated: Jan 29, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.8K

Quantifying intersectionality: An important advancement for health inequality research.

Laura S Richman1, Alyssa N Zucker2

  • 1Duke University, USA.

Social Science & Medicine (1982)
|February 9, 2019
PubMed
Summary

Intersectionality, a framework for understanding multiple marginalized statuses, offers valuable insights into health disparities. New methods are emerging to measure discrimination intersectionally, aiding research and promoting health equity.

Keywords:
DiscriminationHealth inequalitiesIntersectionality

More Related Videos

Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

6.7K
Author Spotlight: Advances in Quantifying Microvascular Density in Aging Murine Lungs
10:00

Author Spotlight: Advances in Quantifying Microvascular Density in Aging Murine Lungs

Published on: January 3, 2025

4.2K

Related Experiment Videos

Last Updated: Jan 29, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.8K
Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

6.7K
Author Spotlight: Advances in Quantifying Microvascular Density in Aging Murine Lungs
10:00

Author Spotlight: Advances in Quantifying Microvascular Density in Aging Murine Lungs

Published on: January 3, 2025

4.2K

Area of Science:

  • Social Sciences
  • Public Health
  • Health Equity

Background:

  • Intersectionality is a theoretical framework for understanding the lived experiences of individuals with multiple marginalized identities.
  • It examines how systems of power and domination, such as racism and sexism, are interconnected and shape experiences.
  • This framework is crucial for comprehending the relationship between discrimination and health outcomes, and for reducing health disparities.

Purpose of the Study:

  • To address the challenges in measuring and analyzing discrimination in intersectional ways within population health research.
  • To highlight the need for methodological advancements to align empirical research with theoretical progress in intersectionality.
  • To introduce new tools for measuring intersectional discrimination.

Main Methods:

  • The study introduces new data collection instruments.
  • It presents novel data analytic strategies for intersectional discrimination measurement.
  • These methods aim to facilitate empirical research on intersectionality.

Main Results:

  • New instruments and analytic strategies are provided to measure discrimination intersectionally.
  • These tools advance the empirical research capabilities in population health.
  • The findings support the application of intersectionality in health research.

Conclusions:

  • The presented tools are vital for advancing the measurement of intersectional discrimination.
  • It is essential to remember the historical roots and theoretical underpinnings of intersectionality.
  • The ultimate goal is to leverage intersectionality to eliminate inequality and promote health equity.