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

José M. Conejero, Juan Carlos Preciado, Alvaro E. Prieto, M.C. Bas, V.J. Bolós
March 2021
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VET programs ranking throughout the period 2009–2016

Abstract

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.

Type
Journal article
Publication
Decision Support Systems
Vocational Education and Training Ranking Employability TOPSIS Data-Driven Decision Making Multicriteria Decision Analysis Criteria Influence Analysis
José M. Conejero
José M. Conejero
Profesor titular

Profesor titular de la Universidad de Extremadura. Mis intereses de investigación incluyen el desarrollo dirigido por modelos, la ciencia de los datos y el aprendizaje automático.

Juan Carlos Preciado
Juan Carlos Preciado
Profesor titular
Alvaro E. Prieto
Alvaro E. Prieto
Profesor titular

Profesor Titular y Director de Administración Electrónica en la Universidad de Extremadura.