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HERRAMIENTAS ESTADÍSTICAS AVANZADAS PARA EL ANÁLISIS DE DATOS EN INVESTIGACIONES CUANTITATIVAS: UNA REVISIÓN SISTEMÁTICA.

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Title: HERRAMIENTAS ESTADÍSTICAS AVANZADAS PARA EL ANÁLISIS DE DATOS EN INVESTIGACIONES CUANTITATIVAS: UNA REVISIÓN SISTEMÁTICA.
Alternate Title: ADVANCED STATISTICAL TOOLS FOR DATA ANALYSIS IN QUANTITATIVE RESEARCH: A SYSTEMATIC REVIEW.
Authors: Sánchez Macías, Wilson Oswaldo1 wsanchezm2@unemi.edu.ec, Ramos Anchundia, Jessica Marlene1 jramosa7@unemi.edu.ec, Montoya Arellano, Wendy Isabel2 wendy.montoyaa@ug.edu.ec, García Córdova, Félix Jacinto2 felix.garciac@ug.edu.ec
Source: Ciencia y Educación (2707-3378). Dec2024, Vol. 5 Issue 12, p71-89. 19p.
Subject Terms: *Database searching, Multivariate analysis, Quantitative research, Analysis of variance, Statistical software
Abstract (English): This research aimed to evaluate the available evidence on the application and effectiveness of advanced statistical techniques in various areas of quantitative research, highlighting their historical evolution, practical applications and the most used software platforms. The methodology used followed the PRISMA protocol, using a rigorous search in academic databases such as Scopus, Web of Science, Scielo, Latindex and Google Scholar. Advanced search strategies using Boolean operators were applied to identify relevant studies, including articles published in the last five years. The results of the review reveal that advanced statistical techniques, such as multivariate regression, analysis of variance, and multivariate analysis, are essential to improve the accuracy of studies in areas such as medicine, education, and social sciences. Additionally, software platforms such as R, Python, and SPSS were identified as key tools that facilitate the implementation of these techniques. In conclusion, the growing importance of these tools in quantitative research is highlighted, suggesting that their proper application improves the quality and validity of the results, promoting significant advances in various scientific disciplines. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): Esta investigación tuvo como objetivo de evaluar las evidencias disponibles sobre la aplicación y efectividad de las técnicas estadísticas avanzadas en diversos ámbitos de la investigación cuantitativa, destacando su evolución histórica, aplicaciones prácticas y las plataformas de software más utilizadas. La metodología empleada siguió el protocolo PRISMA, utilizando una rigurosa búsqueda en bases de datos académicas como Scopus, Web of Science, Scielo, Latindex y Google Scholar. Se aplicaron estrategias de búsqueda avanzada mediante operadores booleanos para identificar estudios relevantes, con inclusión de artículos publicados en los últimos cinco años. Los resultados de la revisión revelan que las técnicas estadísticas avanzadas, como la regresión multivariada, el análisis de varianza y el análisis multivariado, son esenciales para mejorar la precisión de los estudios en áreas como la medicina, la educación y las ciencias sociales. Además, se identificó que las plataformas de software como R, Python y SPSS son herramientas clave que facilitan la implementación de estas técnicas. En conclusión, se destaca la creciente importancia de estas herramientas en la investigación cuantitativa, sugiriendo que su adecuada aplicación mejora la calidad y la validez de los resultados, promoviendo avances significativos en diversas disciplinas científicas. [ABSTRACT FROM AUTHOR]
Abstract (Portuguese): Esta investigação teve como objetivo avaliar as evidências disponíveis sobre a aplicação e eficácia de técnicas estatísticas avançadas em diversas áreas da investigação quantitativa, destacando a sua evolução histórica, aplicações práticas e as plataformas de software mais utilizadas. A metodologia utilizada seguiu o protocolo PRISMA, utilizando uma busca rigorosa em bases de dados acadêmicas como Scopus, Web of Science, Scielo, Latindex e Google Scholar. Estratégias de busca avançada utilizando operadores booleanos foram aplicadas para identificar estudos relevantes, incluindo artigos publicados nos últimos cinco anos. Os resultados da revisão revelam que técnicas estatísticas avançadas, como regressão multivariada, análise de variância e análise multivariada, são essenciais para melhorar a precisão dos estudos em áreas como medicina, educação e ciências sociais. Além disso, plataformas de software como R, Python e SPSS foram identificadas como ferramentaschave que facilitam a implementação dessas técnicas. Concluindo, destaca-se a crescente importância dessas ferramentas na pesquisa quantitativa, sugerindo que sua aplicação adequada melhora a qualidade e a validade dos resultados, promovendo avanços significativos em diversas disciplinas científicas. [ABSTRACT FROM AUTHOR]
Copyright of Ciencia y Educación (2707-3378) is the property of Duanys Miguel Pena Lopez and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
Description
Abstract:This research aimed to evaluate the available evidence on the application and effectiveness of advanced statistical techniques in various areas of quantitative research, highlighting their historical evolution, practical applications and the most used software platforms. The methodology used followed the PRISMA protocol, using a rigorous search in academic databases such as Scopus, Web of Science, Scielo, Latindex and Google Scholar. Advanced search strategies using Boolean operators were applied to identify relevant studies, including articles published in the last five years. The results of the review reveal that advanced statistical techniques, such as multivariate regression, analysis of variance, and multivariate analysis, are essential to improve the accuracy of studies in areas such as medicine, education, and social sciences. Additionally, software platforms such as R, Python, and SPSS were identified as key tools that facilitate the implementation of these techniques. In conclusion, the growing importance of these tools in quantitative research is highlighted, suggesting that their proper application improves the quality and validity of the results, promoting significant advances in various scientific disciplines. [ABSTRACT FROM AUTHOR]
ISSN:27073378