6533b82bfe1ef96bd128e12e

RESEARCH PRODUCT

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

M. C. BasAlvaro E. PrietoVicente J. BolósJuan Carlos PreciadoJosé María Conejero

subject

Decision support systemInformation Systems and ManagementOperations researchComputer science05 social sciencesRank (computer programming)TOPSIS02 engineering and technologyCorrelation ratioManagement Information SystemsData-drivenArts and Humanities (miscellaneous)Ranking020204 information systemsVocational education0502 economics and business0202 electrical engineering electronic engineering information engineeringDevelopmental and Educational PsychologyIntegració d'aplicacions empresarials (Sistemes informàtics)Matemàtica financera050211 marketingScenario analysisEnsenyament InnovacionsInformation Systems

description

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.

yearjournalcountryeditionlanguage
2021-03-01
10.1016/j.dss.2020.113470https://hdl.handle.net/10550/83158