Applying data driven decision making to rank vocational and educational training programs with TOPSIS

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.

Automated summary

This paper presents a multi-criteria classification of Vocational and Educational Programs in Extremadura (Spain) from 2009 to 2016, using TOPSIS method and a new decision support method. The study integrates detailed information of individuals finishing such studies with their labor data for ranking, and compares a new worst-best case scenario analysis method with a well-known global sensitivity analysis technique.