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

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

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Conejero, José María; Preciado Rodríguez, Juan Carlos; Prieto Ramos, Álvaro; Bas Cerdà, María del Carmen; Bolós Lacave, Vicente

Aquest document és un/a article, creat/da en: 2021

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.

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