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The development and validation of the Privacy and Data Security Concerns Scale (PDSCS)
Author(s) -
Brady Grant M.,
Truxillo Donald M.,
Bauer Talya N.,
Jones Mark P.
Publication year - 2021
Publication title -
international journal of selection and assessment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.812
H-Index - 61
eISSN - 1468-2389
pISSN - 0965-075X
DOI - 10.1111/ijsa.12311
Subject(s) - confirmatory factor analysis , psychology , scale (ratio) , construct validity , construct (python library) , data science , internet privacy , computer science , structural equation modeling , psychometrics , clinical psychology , physics , quantum mechanics , machine learning , programming language
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.