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Training program evaluation in non-standardized context: Comple-mentarity across Factorial and Multilevel Analysis to obtain construct valid-ity evidences [Evaluación de programas de formación continua en contextos no estandarizados: Complementariedad entre análisis factorial y multinivel para la obtención de evidencias de validez de constructo]

dc.contributor.authorHolgado-Tello F.P.
dc.contributor.authorChacón-Moscoso S.
dc.contributor.authorVila-Abad E.
dc.contributor.authorDelgado B.
dc.contributor.authorSanduvete-Chaves S.
dc.date.accessioned2020-09-02T22:20:30Z
dc.date.available2020-09-02T22:20:30Z
dc.date.issued2015
dc.identifier10.6018/analesps.31.2.172501
dc.identifier.citation31, 2, 725-732
dc.identifier.issn02129728
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4903
dc.descriptionProgram evaluation is usually applied to non-standardized intervention contexts. This implies, among others, deficiencies of: a) validated theoretical models; b) non-standard measurement instruments; c) reliable measures. In this work, we show that Factor Analysis with polychoric correlations and Multilevel Analysis could be an adequate procedure to gain construct validity evidence in non-standard evaluative contexts, where the measures are not quantitative and usually are nested. The empirical study is carried out on a sample of 2754 workers of the University of Seville. They have completed a satisfaction questionnaire about training courses aimed to prepare them for the correct performance of their jobs. We highlight the complementarities between both analytical techniques to study the differ-ential variability provided by explained variables nested in different hierarchical level to predict the perceived satisfaction. © 2015: Servicio de Publicaciones de la Universidad de Murcia.
dc.language.isoes
dc.publisherUniversidad de Murcia Servicio de Publicaciones
dc.subjectFactor analysis
dc.subjectMultilevel analysis
dc.subjectProgram evaluation
dc.subjectSatisfaction
dc.subjectValidity
dc.titleTraining program evaluation in non-standardized context: Comple-mentarity across Factorial and Multilevel Analysis to obtain construct valid-ity evidences [Evaluación de programas de formación continua en contextos no estandarizados: Complementariedad entre análisis factorial y multinivel para la obtención de evidencias de validez de constructo]
dc.typeArticle


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