Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

11.1K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
11.1K
Fundamental Attribution Error01:14

Fundamental Attribution Error

13.8K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
13.8K
Ogive Graph01:07

Ogive Graph

6.9K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
6.9K
Graphing Antiderivatives01:30

Graphing Antiderivatives

77
The concept of an antiderivative is fundamental in calculus, describing how a function's values accumulate over time. This process is closely related to physical motion, such as the movement of a rolling ball. As the ball progresses, its position changes in response to variations in velocity, just as an antiderivative graph reflects the cumulative effect of the original function's values.Graphing an antiderivative requires interpreting how a function's values influence the shape of its...
77
Graphs of Functions01:30

Graphs of Functions

354
Graphs of functions provide a visual representation of how output values change in response to varying inputs. Each point on the graph corresponds to an ordered pair, where the x-coordinate (independent variable) determines the horizontal position and the y-coordinate (dependent variable) determines the vertical position. Linear functions like y = x give a straight line, indicating a constant rate of change.Nonlinear functions display more complex behaviors. Even power functions generate...
354
Bar Graph01:07

Bar Graph

23.1K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
23.1K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Identifying latent profiles of child abuse and their gendered effect on adolescent mental health: a school-based study from Rio de Janeiro, Brazil.

Cadernos de saude publica·2026
Same author

Potentialities and challenges of using artificial intelligence in chronic pain management: a scoping review.

Ciencia & saude coletiva·2026
Same author

Does the Brazilian Household Food Insecurity Measurement Scale Allow for Valid Comparisons Across Sex, Race, and Education? A Measurement Invariance Analysis Using the National Household Sample Survey.

Food and nutrition bulletin·2026
Same author

Impact of the COVID-19 Pandemic on Intersectional Inequities in Unmet Oral Care Needs in Sweden.

JDR clinical and translational research·2026
Same author

[Prevalence of burden among caregivers of children admitted to intensive care units in Rio de Janeiro, Brazil].

Ciencia & saude coletiva·2026
Same author

Development and validation of a comprehensive tool for measuring multidimensional peritraumatic experience.

Cadernos de saude publica·2025
Same journal

Regional variation and factors associated with average expenditure per headache disorder hospitalization in Brazil: a macrocosting analysis in the SUS (2008-2023).

Revista de saude publica·2026
Same journal

Access to specialized outpatiecare: an analysis of regulation in Brazilian settings.

Revista de saude publica·2026
Same journal

Comparison of two methods for assessing weight gain in Brazilian pregnant women.

Revista de saude publica·2026
Same journal

Intimate partner violence and associated factors among adult women: a population-based study.

Revista de saude publica·2026
Same journal

Differences in the microenvironment for leisure physical activity and commuting in São Paulo.

Revista de saude publica·2026
Same journal

Hearing loss and postural balance performance in adults and the elderly in ELSA-Brazil.

Revista de saude publica·2026
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: Feb 12, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.2K

Los gráficos de error de Guttman: un enfoque visual para el análisis de escalabilidad.

Michael Eduardo Reichenheim1, Claudia Leite de Moraes1,2, João Luiz Bastos3

  • 1Universidade do Estado do Rio de Janeiro. Instituto de Medicina Social Hésio Cordeiro. Departamento de Epidemiologia. Rio de Janeiro, RJ, Brasil.

Revista de saude publica
|February 11, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Una nueva función R, guttemap, representa visualmente los errores de Guttman para mejorar el análisis de escalabilidad de los instrumentos de medición epidemiológica. Esta herramienta mejora la interpretabilidad, ayudando en el desarrollo de herramientas de investigación más robustas.

Más Videos Relacionados

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
08:03

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

10.9K
Scalable Step-by-Step Approach of Sustainable Bioplastic Production from Food Waste
08:14

Scalable Step-by-Step Approach of Sustainable Bioplastic Production from Food Waste

Published on: July 18, 2025

1.3K

Videos de Experimentos Relacionados

Last Updated: Feb 12, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.2K
Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
08:03

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

10.9K
Scalable Step-by-Step Approach of Sustainable Bioplastic Production from Food Waste
08:14

Scalable Step-by-Step Approach of Sustainable Bioplastic Production from Food Waste

Published on: July 18, 2025

1.3K

Área de la Ciencia:

  • Epidemiología La epidemiología.
  • La bioestadística es la bioestadística.
  • Psicometría La psicometría es la psicometría.

Sus antecedentes:

  • Los errores de Guttman plantean desafíos en la evaluación de la escalabilidad de los instrumentos de medición.
  • Los métodos existentes para el análisis de error de Guttman carecen de visualización intuitiva, lo que dificulta la interpretación.
  • El análisis de escalabilidad es crucial para garantizar la confiabilidad y validez de los datos epidemiológicos.

Objetivo del estudio:

  • Desarrollar una herramienta gráfica innovadora, guttemap, para representar los errores de Guttman.
  • Facilitar el análisis de escalabilidad de los instrumentos de medición en epidemiología.
  • Mejorar la interpretabilidad y accesibilidad del análisis de errores de Guttman.

Principales métodos:

  • Implementación de la función guttemap en R (RStudio).
  • Desarrollo de una representación visual intuitiva de los errores de Guttman utilizando gradientes de color.
  • Presentación de la lógica y los detalles de implementación del mapa de error de Guttman.

Principales resultados:

  • Demostración del potencial de guttemap a través de siete ejemplos sintéticos.
  • Identificación de áreas problemáticas dentro de los instrumentos de medición a través de una representación gráfica.
  • Facilitación de ajustes informados para desarrollar instrumentos más robustos.

Conclusiones:

  • guttemap hace que el análisis de error de Guttman sea más accesible e interpretable.
  • La herramienta contribuye a mejorar la calidad de los instrumentos de medición.
  • El análisis mejorado apoya el avance de la investigación epidemiológica.