how are we doing in education?: a SPCA approach

Authors

Navarro, Luis

Abstract

This paper proposes the use of a new tool called Sparse Principal Component Analysis (SPCA) to support decision-making in educational management. Educational quality is influenced by some external factors that affect this training dynamic, such as drug use, child labor, crimes in their different forms, among others; where it is necessary to have synthetic indicators that are easy to interpret and built from many education indicators for contexts where few geographic areas are available. As an illustration, this work implements the SPCA in the creation of a Synthetic Indicator that measures the different intensities of crime occurrence in the constitutional province of Callao - Peru. The results show the adequacy of the proposal in considering the automatic choice of crimes with the highest occurrences and the management in the treatment of few geographic areas for many forms of crime. The different values of the Synthetic Indicator for each geographical area allow the different intensities to be compared and that educational policies must take into account the impact on the educational community