The well-fit for the FET model: understanding training transfer factors in Spain
Learning transfer evaluation is a necessary process for practitioners to assess the effectiveness of training, and the outcomes of training produces in workers’ behaviors. In this paper, we explore an alternative way to evaluate transfer: through the study of transfer facilitators and barriers. Our...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/167114 |
| Acceso en línea: | http://hdl.handle.net/11336/167114 |
| Access Level: | acceso abierto |
| Palabra clave: | CONFIRMATORY FACTOR ANALYSIS LEARNING TRANSFER TRANSFER EVALUATION TRANSFER FACTORS https://purl.org/becyt/ford/5.1 https://purl.org/becyt/ford/5 |
| Sumario: | Learning transfer evaluation is a necessary process for practitioners to assess the effectiveness of training, and the outcomes of training produces in workers’ behaviors. In this paper, we explore an alternative way to evaluate transfer: through the study of transfer facilitators and barriers. Our aim is to validate the Factors to Evaluate Transfer (FET) model in a large sample of Spanish employees using confirmatory factor analysis. We applied the Spanish version of the FET scale to a sample of 2,745 Spanish workers of public service institutions and private companies. The results show a seven-factor model as the best choice according to the adjustment indices presented in the paper. We obtained a shorter version of the instrument, with adequate construct validity as well as good reliability and internal consistency. This model is a step forward in the measurement of indirect transfer and allows keeping working on the FET model to diagnosis transfer factors and increase the probabilities of higher learning transfer levels. |
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