数字技能对苏邦地区移动银行服务使用的验证性因素分析

Lulu Arsylia, Refi Rifaldi Windya Giri
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摘要

该研究旨在确定和验证在苏邦县使用移动银行服务所需的数字技能。本研究采用非概率和有目的抽样技术,对苏邦县使用移动银行服务的350名银行客户进行了调查。数字技能因子分析结果显示,操作性移动技能、信息导航技能、社交技能和创造性技能等各潜变量的指标均有效,能够代表各自的构念。然而,模型拟合值不符合标准,表明需要进行修改才能获得拟合模型。本研究为进一步研究提供了一个起点,可以使用探索性因子分析(Exploratory Factor Analysis, EFA)分析方法对模型进行探索,或者使用验证性因子分析(Confirmatory Factor Analysis, CFA)方法对模型进行修改,以获得一个拟合模型,该模型可以作为一种媒介来确认代表其结构的相关和有效因素
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Confirmatory factor analysis of digital skills on the use of mobile banking services in Subang district
The research aimed to identify and validate the digital skills required to use mobile banking services in Subang Regency. The study used non-probability and purposive sampling techniques to survey 350 banking customers who use mobile banking services in the Subang Regency. The results of the digital skills factor analysis showed that the indicators of each latent variable, including operational mobile skills, information navigation skills, social skills, and creative skills, were valid and able to represent their respective constructs. However, the model fit value did not meet the criteria, indicating that modifications were necessary to obtain a fit model. This study provides a starting point for further research to explore the model using the Exploratory Factor Analysis (EFA) analysis method or make modifications using the Confirmatory Factor Analysis (CFA) method to obtain a fit model that can contribute as a medium to confirm relevant and valid factors representing their constructs
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