The well-fit for the FET model: Understanding training transfer factors in Spain

IF 1.1 Q3 EDUCATION & EDUCATIONAL RESEARCH
Educar Pub Date : 2021-09-23 DOI:10.5565/rev/educar.1327
C. Quesada-Pallarés, M. Musso, Anna Ciraso-Calí, Eduardo C. Cascallar
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引用次数: 1

Abstract

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.
非常适合FET模型:了解西班牙的培训转移因素
学习迁移评估是从业者评估培训有效性的必要过程,培训的结果在员工的行为中产生。在本文中,我们探索了另一种评估迁移的方法:通过研究迁移的促进因素和障碍。我们的目的是利用验证性因素分析在西班牙员工的大样本中验证评估转移的因素(FET)模型。我们将西班牙版的FET量表应用于2745名西班牙公共服务机构和私营公司的员工。结果表明,根据本文提出的调整指标,七因子模型是最佳选择。我们获得了一个较短版本的仪器,具有足够的结构效度以及良好的信度和内部一致性。该模型在测量间接迁移方面向前迈出了一步,并允许继续研究FET模型来诊断迁移因素并增加更高学习迁移水平的概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Educar
Educar EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
2.40
自引率
7.10%
发文量
33
审稿时长
12 weeks
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