|Título||Validation of predicting transfer instruments in Spain|
|Tipo de publicación||Journal Article|
|Año de publicación||2020|
|Autores||González-Ortiz, A, M. García, A, Quesada-Pallarès, C, F. Berrocal, B, McLean, GN|
|Journal||European Journal of Training and Development|
|Palabras clave||factor analysis, instrument validation, Training evaluation, training transfer, transfer, transfer evaluation|
Purpose. The purpose of this paper is to validate two scales, the factors predicting transfer (FPT) and the effectiveness questionnaire (CdE), in the Spanish Public Administration (SPA).
Method. The FPT was administered at the end of the training, and the CdE four months after training. Participants had attended one of the 62 trainings offered by the SPA. With 1,457 participants, exploratory factor analysis (EFA; n = 728) and confirmatory factory analysis (CFA) (n = 729), randomly assigned, were performed on the FPT, and CFA (n = 726) was applied to the CdE.
Findings. A 30-item and four-factor solution emerged for the FPT through the EFA, which was confirmed by a good model fit through the CFA. A seven-item single-factor solution was confirmed for the CdE. Measurement invariance for the mode of instruction and gender was accepted for both instruments.
Research limitations/implications. Further research should be done in a more heterogenous sample that includes private organizations, different sectors and sizes. In the human resource development (HRD) field, these results suggest, in line with previous research, the existence of underlying constructs of factors of transfer that migrate across cultures.
Practical implications. The potential use of the FPT is the diagnosis of factors of transfer, and for the CdE, evaluation of the transfer of interventions at the behavioral level. The instruments are suitable for research and practice that compares online and in-class training.
Originality/value. The study performs the first rigorous analysis of measurement instruments to evaluate factors that predict transfer in Spain