验证性因素分析
比例(比率)
结构效度
心理学
构造(python库)
信息安全
数据科学
计算机科学
计算机安全
心理测量学
结构方程建模
临床心理学
物理
量子力学
机器学习
程序设计语言
作者
Grant M. Brady,Donald M. Truxillo,Talya N. Bauer,Mark P. Jones
摘要
Abstract This study describes the development and validation of the Privacy and Data Security Concerns Scale (PDSCS), designed to assess job applicants’ privacy and data security concerns. Validity evidence for the PDSCS was established with four steps including: item generation and content validation, item reduction, confirmatory factor analysis, and construct and criterion validity. Our findings supported the content and proposed factor structure of the nine‐item PDSCS. Specifically, the proposed three‐factor structure (with the subdimensions: Secure connection, inappropriate use of information, and mistrust in employer security practices ) as well as a second‐order factor, (termed privacy and data security concerns) were confirmed. Additionally, evidence is presented for the criterion validity of the PDSCS and its subdimensions.
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