MULTIVARIATE STATISTICAL TECHNIQUES USED IN THE FIELD OF UNIVERSITY SOCIAL RESPONSIBILITY

A REVIEW OF THE STATE OF THE ART

Abstract

In the midst of the challenges of society and its environment, universities have been summoned to become socially responsible organizations. This article presents a review of the national and international literature, related to the application of different statistical techniques in the context of socially responsible practices within higher education institutions. A bibliographic review of the texts referring to University Social Responsibility is carried out, later they are statistically analyzed to report trends in the field. In the literature studied, the authors use quantitative statistical methods that allow diagnosing the implementation of University Social Responsibility and 83% of the studies correspond to the application of multivariate statistical techniques. University Social Responsibility goes beyond philanthropic actions analyzed with purely qualitative tools, but quantitative instruments such as those that group multivariate analysis techniques can be applied. An exhaustive review of studies that apply multivariate analysis techniques is used, grouping results by countries and data analysis methodologies. Publications from Asian or European universities were not considered; it is an initial review of methods that can be applied or adapted, however it does not present successful results for a particular institution.