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

Experimental Designs01:16

Experimental Designs

18.3K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
18.3K
Factorial Design02:01

Factorial Design

14.6K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
14.6K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.7K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.7K
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

305
Body:Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
305
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

1.2K
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
1.2K
McNemar's Test01:23

McNemar's Test

905
McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...
905

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

Type I error rates and power of two randomization test procedures for the changing criterion design.

Behavior research methods·2023
Same author

Testing delayed, gradual, and temporary treatment effects in randomized single-case experiments: A general response function framework.

Behavior research methods·2023
Same author

Systematic Review of Descriptions and Justifications Provided for Single-Case Quantification Techniques.

Behavior modification·2023
Same author

How to assess and take into account trend in single-case experimental design data.

Neuropsychological rehabilitation·2023
Same author

Physical and mental health impact of the COVID-19 pandemic at first year in a Spanish adult cohort.

Scientific reports·2023
Same author

Does the choice of a linear trend-assessment technique matter in the context of single-case data?

Behavior research methods·2023

Video Experimental Relacionado

Updated: Feb 25, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.9K

Un tutorial para las opciones de software para ayudar a evaluar las relaciones funcionales en diseños experimentales

Rumen Manolov1

  • 1Department of Social Psychology and Quantitative Psychology, Faculty of Psychology, University of Barcelona, Passeig de la Vall d'Hebron 171, 08035, Barcelona, Spain. rrumenov13@ub.edu.

Behavior research methods
|February 23, 2026
PubMed
Resumen

Este estudio revisa las herramientas gratuitas en línea para analizar diseños experimentales de caso único (SCED). Estos recursos ayudan a los investigadores a evaluar la efectividad de la intervención y las relaciones funcionales en los datos de comportamiento.

Palabras clave:
Relación funcional es una relación funcional.Diseños experimentales de un solo caso.El software es un software de software.El análisis visual de análisis visual.

Más Videos Relacionados

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

3.4K
Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.8K

Videos de Experimentos Relacionados

Last Updated: Feb 25, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.9K
RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

3.4K
Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.8K

Área de la Ciencia:

  • Ciencias del comportamiento Ciencias del comportamiento.
  • Metodología de investigación Metodología de investigación.
  • Análisis de datos Análisis de datos.

Sus antecedentes:

  • Los diseños experimentales de caso único (SCED) son cruciales para evaluar la efectividad de la intervención en individuos.
  • La evaluación de los datos de SCED implica la determinación de las relaciones funcionales y el tamaño de los efectos.
  • Los métodos existentes para el análisis de datos SCED pueden ser complejos y requieren software especializado.

Objetivo del estudio:

  • Revisar los sitios web de libre acceso para el análisis de los datos del SCED.
  • Proporcionar orientación sobre la evaluación de las relaciones funcionales en los SCED utilizando ayudas visuales y cuantificaciones.
  • Para simplificar el proceso de análisis de datos SCED para los investigadores aplicados.

Principales métodos:

  • Revisión de varios sitios web accesibles que ofrecen representación gráfica de datos y análisis cuantitativo.
  • Esquema de los pasos analíticos de datos para evaluar las relaciones funcionales, incluidos los efectos individuales y la consistencia.
  • Demostración del uso del software con ejemplos de datos del mundo real.

Principales resultados:

  • Identificación de herramientas web fáciles de usar para el análisis de datos SCED.
  • Se detallan los pasos prácticos para evaluar la presencia de una relación funcional.
  • Se proporcionan ilustraciones para interpretar el resultado del análisis utilizando datos auténticos.

Conclusiones:

  • Los recursos gratuitos en línea pueden apoyar efectivamente la evaluación de las relaciones funcionales en los SCED.
  • Las herramientas revisadas simplifican el análisis de datos complejos para los investigadores.
  • Los investigadores aplicados pueden utilizar fácilmente estas herramientas para evaluar los efectos de la intervención.