In this paper we present a multi-criteria classification of Vocational and Educational Programs in Extremadura (Spain) during the period 2009-2016. This ranking has been carried out through the integration into a complete database of the detailed information of individuals finishing such studies together with their labor data. The multicriteria method used is TOPSIS together with a new decision support method for assessing the influence of each criterion and its dependence on the weights assigned to them. This new method is based on a worst-best case scenario analysis and it is compared to a well known global sensitivity analysis technique based on the Pearson's correlation ratio.
Cite
@article{arxiv.2411.00017,
title = {Applying Data Driven Decision Making to rank Vocational and Educational Training Programs with TOPSIS},
author = {J. M. Conejero and J. C. Preciado and A. E. Prieto and M. C. Bas and V. J. Bolos},
journal= {arXiv preprint arXiv:2411.00017},
year = {2024}
}