Development of the cybersecurity scale (CS-S)
Evidence of validity and reliability
Bibliographic Data
| ID | 21500692 |
|---|---|
| Authors | İbrahim Arpacı (0000-0001-6513-4569, Tokat Gaziosmanpaşa Üniversitesi, corresponding author), Kadir Sevinc (Tokat Gaziosmanpaşa Üniversitesi) |
| Year | 2022 |
| Volume | 38 |
| Issue | 2 |
| Pages | 218-226 |
| Publication date | 2022-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Development (JOURNAL) |
| Journal identifiers | ISSN: 0266-6669 • E-ISSN: 1741-6469 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0266666921997512 |
| OpenAlex | W3138806442 |
| Language | EN |
| Citations received | 7 |
| References cited | 13 |
This study aimed to develop a cybersecurity scale to measure individuals’ practices and perceptions regarding cybersecurity. The study tested psychometric properties of the Cybersecurity Scale (CS-S) by employing a multi-stage research design. In the first study, an Exploratory-Factor-Analysis (EFA) was conducted to explore the underlying factor structure and evaluate internal consistency reliability of the CS-S. The EFA results showed good internal consistency reliability (α = .88) and a six-factor structure. In the second study, a Confirmatory-Factor-Analysis (CFA) was conducted to verify the factor structure. The CFA results indicated that the six-factor model (i.e., confidentiality, control/possession, integrity, authenticity, availability, and utility) fits the data well. Significant individual differences were observed in each dimension of the CS-S. Results indicated that the CS-S has evidence of convergent, discriminant, and construct validity along with internal consistency reliability. The results suggested that the CS-S is a valid and reliable instrument to measure individuals’ cybersecurity practices and perceptions
Computer security · Confidentiality · Confirmatory factor analysis · Construct validity · Data mining · Discriminant validity · Exploratory factor analysis · Internal consistency · Psychometrics · Statistics · Structural equation modeling · Applied Psychology · Clinical Psychology · Computer Science · Information and Cyber Security · Mathematics · Network Security and Intrusion Detection · Psychology · Social Psychology · Suicide and Self-Harm Studies
Predicting Chinese Postgraduates’ Intention to Use Generative Artificial Intelligence in Academic Writing
Development and validation of ICT unethical behavior scale among undergraduate students
A complementary SEM and deep ANN approach to predict the adoption of cryptocurrencies from the perspective of cybersecurity
Cybersecurity Awareness Scale (CSAS) for Social Media Users
Development and validation of the prompt engineering competence scale (Pecs)
Validation and application of the human aspects of information security questionnaire for undergraduates
Reliability and validity of the Cybersecurity Awareness INventory (Cain)
| Citations per year | 2.33 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |