Influence of Trainees' Transfer Beliefs, Intentions, and Commitment on Transfer Readiness: Variable and Person‐Oriented Analyses

ABSTRACT 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.

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Publication Details

Journal
International Journal of Training and Development
Published
2025-02-04
DOI
https://doi.org/10.1111/ijtd.12352
Primary Topic
Human Resource Development and Performance Evaluation
Type
article
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article

Influence of Trainees' Transfer Beliefs, Intentions, and Commitment on Transfer Readiness: Variable and Person‐Oriented Analyses

Carla Quesada‐Pallarès, Paulina Guerra, Helena Roig‐Ester, Aitana González Ortiz de Zárate et al.
International Journal of Training and Development
Human Resource Development and Performance Evaluation
article

Influence of Trainees' Transfer Beliefs, Intentions, and Commitment on Transfer Readiness: Variable and Person‐Oriented Analyses

Carla Quesada‐Pallarès, Paulina Guerra, Helena Roig‐Ester, Aitana González Ortiz de Zárate, Anja Garone
article en

Abstract

ABSTRACT 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.

International Journal of Training and DevelopmentVol. 29(2)
Universidad Complutense de Madrid (ES), Universitat Autònoma de Barcelona (ES), Vrije Universiteit Brussel (BE), Universitat de Barcelona (ES)
Openalex Percentile: Top 98%
Human Resource Development and Performance Evaluation
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Influence of Trainees' Transfer Beliefs, Intentions, and Commitment on Transfer Readiness: Variable and Person‐Oriented Analyses — Carla Quesada‐Pallarès, Paulina Guerra, et al. · International Journal of Training and Development (2025) | TGRS Research Map | TGRS