社交网站信息隐私关注(cfip)规模验证

Amna Farzand Ali, Syeda Hina Batool, Khalid Mahmood
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引用次数: 0

摘要

本研究旨在评估并验证社交网站的资讯隐私关注规模。本研究通过探索性因素分析(EFA)确定了七个可能对信息隐私问题起作用的重要因素。因此,为了创建一个测量工具结构的项目列表,进行了广泛的相关文献研究。随后,选定的项目与主管进行讨论;发给六个信息专业人员进行内容有效性检查。通过对所选高校100名本科生的数据采集,对基于文献的先导工具进行实证验证。采用探索性因子分析验证量表的构念效度。此外,为了检验量表的内部信度,Cronbach's alpha系数进行了检验,并对一组500名本科生进行了57项测量的心理测量特征评估。随后,有效&验证了可靠的57项信息隐私关注量表,该量表可用于测试和评估社交网络用户的信息隐私关注。这个有效的量表可以在不同的背景和不同的人群群体中使用,以确认其在不同设置中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE VALIDATION OF CONCERNS FOR INFORMATION PRIVACY (CFIP) SCALE FOR SOCIAL NETWORKING SITES
This study aims to evaluate and validate information privacy concerns scale for social networking sites. Current study identifies seven significant factors through Exploratory Factor Analysis (EFA) which may work antecedents of information privacy concerns. Thus, in order to create a list of items for the measurement of instrument constructs, an extensive research of relevant literature was carried out. Later, the selected items were discussed with supervisors & sent to six information professionals for content validity. Pilot instrument based on literature was empirically validated by collecting the data from one hundred undergraduate students from selected universities. Exploratory factor analysis was used to confirm that the scale's construct validity. Furthermore, for internal reliability of the scale Cronbach's alpha coefficient was checked, the psychometric features of the 57-item measure were assessed with a group of 500 undergraduate students. Subsequently, valid & reliable 57-item Information Privacy Concerns Scale was validated, which could be tested and utilized to evaluate social networking users' information privacy concerns. This validated scale can be used in different contexts and among variant population groups to confirm its validity in the different settings.
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