Variables de Influencia en la Capacidad de Aprendizaje. Un Análisis por Conglomerados y Componentes Principales

The purpose of this manuscript is to determine the correlation between the variables that enhance the learning capability associated with the development of research in Higher Education Institutions. For this purpose, the multivariate analysis of clusters of variables using the SPSS software is applied. From the ward method for cluster grouping and square Euclidean distance interval, the groups that are formed are identified. This selection of clusters is corroborated with the multivariate technique of principal component analysis, with an analysis of KMO correlation matrix (Kaiser, Meyer and Olkin) and Bartlett's sphericity test. The analysis showed that the learning capability presents a strong interaction with the external sector, reflected by the high level of relationship between alliances and institutional policies and of these with the development of agreements. The training and graduate training of researchers and the monitoring of knowledge present a lower level of correlation with the other variables. © 2019 Centro de Informacion Tecnologica. All Rights Reserved.

• Autores: Gallego Cossio, Laura Constanza; Araque de los Rios, Oscar Javier
• Tipo de recurso: Article of journal
• Fecha de publicación: 2023
• Institución: Universidad Cooperativa de Colombia
• Repositorio: Repositorio UCC
• OAI Identifier: oai:repository.ucc.edu.co:20.500.12494/50789
• Acceso en línea: https://doi.org/http://dx.doi.org/10.4067/S0718-07642019000200257; https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-07642019000200257; https://hdl.handle.net/20.500.12494/50789
• Palabra clave: CORRELATION MATRIX; EDUCATIONAL INSTITUTIONS; HIGHER EDUCATION INSTITUTIONS; INSTITUTIONAL POLICIES; LEARNING CAPABILITIES; MULTI VARIATE ANALYSIS; MULTIVARIANT ANALYSIS; MULTIVARIATE TECHNIQUES; PRINCIPAL COMPONENT ANALYSIS; RESEARCH; SPSS; STATISTICS
• Rights: openAccess
• License: http://purl.org/coar/access_right/c_abf2