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Interval estimation of Universal Variation Ratio

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Qualitative variables are of great importance in the social sciences and descriptive measures of variability and shape have been developed for these variables, but they are little used. One of the main reasons is that they are not available in statistical software. This paper focuses on a recently i...

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Detalles Bibliográficos
Autor: Moral de la Rubia, José
Formato: artículo
Fecha de Publicación:2025
Institución:Pontificia Universidad Católica del Perú
Repositorio:Revistas - Pontificia Universidad Católica del Perú
Lenguaje:español
OAI Identifier:oai:revistaspuc:article/31602
Enlace del recurso:http://revistas.pucp.edu.pe/index.php/psicologia/article/view/31602
Nivel de acceso:acceso abierto
Materia:Variation ratio
Qualitative variables
Confidence interval
Bootstrap
Bias-corrected and accelerated percentile method
Razón de variación
Variables cualitativas
Intervalo de confianza
Remuestreo con reemplazamiento
Método de percentil corregido de sesgo y acelerado
Rácio de variação
Variáveis qualitativas
Intervalo de confiança
Reamostragem com reposição
Correção de viés e método do percentil acelerado
Descripción
Sumario:Qualitative variables are of great importance in the social sciences and descriptive measures of variability and shape have been developed for these variables, but they are little used. One of the main reasons is that they are not available in statistical software. This paper focuses on a recently introduced measure of variability, the Universal Variation Ratio, which enhances upon variation ratios previously formulated. This article aims to propose the calculation of its standard error and confidence interval and to provide a script for its computation using the R program. It applies to two scenarios: with one mode and with two or more modes. It is recommended to integrate this variability measure into data analysis procedures.
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