Influence of trainees' transfer beliefs, intentions, and commitment on transfer readiness: Variable and person‐oriented analyses

Transfer beliefs are understudied in the training transfer field, whereas structural equation modelling (SEM) has been a widely used technique to study transfer models. New methodologies are needed to study training transfer and network analysis (NA) has emerged as a new approach that provides a vis...

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Detalles Bibliográficos
Autores: González Ortiz de Zárate, Aitana, Roig Ester, Helena, Robalino Guerra, Paulina E., Garone, Anja, Quesada Pallarès, Carla
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/120180
Acceso en línea:https://hdl.handle.net/20.500.14352/120180
Access Level:acceso abierto
Palabra clave:331:159.9
Transfer beliefs
Training transfer
Predisposition to transfer
Structural equation modelling
Network analysis
Cluster analysis
Psicología industrial y del trabajo
6109 Psicología Industrial
Descripción
Sumario:Transfer beliefs are understudied in the training transfer field, whereas structural equation modelling (SEM) has been a widely used technique to study transfer models. New methodologies are needed to study training transfer and network analysis (NA) has emerged as a new approach that provides a visual representation of a given network. We explored the relation of transfer beliefs, intentions, commitment, and implementation intentions, and transfer using variable (SEM) and person-oriented approaches (NA) according to groups of trainees based on their transfer readiness. The longitudinal design measured T1 before the training and T2 after the training (268 participants). T1 measured trainees' beliefs about transfer, commitment to transfer, and intention to transfer; T2 measured self-reported transfer and implementation intention actions. The results of the NA confirmed the structure of the exploratory factor analysis. The NA model offered the visual representation of the network complimentary to the results obtained via SEM. Differentiating NA and SEM multigroup by cluster showed differences in models and architectures between clusters. We discussed the relations between beliefs and transfer, and also the implications of the combined use of the SEM and NA as novel approaches to study transfer.