This study reports the development and validation of the Organizational Cybersecurity Awareness Scale (OCAS) for employees in public institutions. The scale comprises four dimensions: (1) Personal Awareness and Proactive Approach, (2) Legal and Regulatory Awareness, (3) Technical Protection and Implementation, and (4) Organizational Policy Awareness, with a total of 26 items. Data were collected in 2021 from 110 employees working in two public organizations to evaluate the scale’s EFA analysis. Exploratory Factor Analysis (EFA) was conducted to establish the dimensional structure of the scale. The Kaiser-Meyer-Olkin measure of sampling adequacy was 0.942, indicating excellent factorability. The four-factor solution explained 60.02% of the total variance: Factor 1 (Personal Awareness and Proactive Approach) accounted for 39.54%, Factor 2 (Legal and Regulatory Awareness) for 11.19%, Factor 3 (Technical Protection and Implementation) for 4.76%, and Factor 4 (Organizational Policy Awareness) for 4.53%. All 26 items demonstrated satisfactory factor loadings, and no items required deletion. Confirmatory Factor Analysis (CFA) was performed to test the hypothesized factor structure. The overall scale demonstrated excellent internal consistency (Cronbach’s α = 0.936). Although the chi-square test was significant (χ² = 7952.667, df = 325, N = 544, p < .05), which is common in large samples, other fit indices indicated acceptable model fit: Standardized RMR = 0.085 and RMSEA = 0.083. To test the hypothesized four-factor structure derived from EFA, CFA was performed by using another 544 employees. These results support the four-dimensional structure and demonstrate that the OCAS is a reliable and valid instrument for measuring cybersecurity awareness among public sector employees.
Cybersecurity awareness public employees scale development organizational security psychometric validation
This study reports the development and validation of the Organizational Cybersecurity Awareness Scale (OCAS) for employees in public institutions. The scale comprises four dimensions: (1) Personal Awareness and Proactive Approach, (2) Legal and Regulatory Awareness, (3) Technical Protection and Implementation, and (4) Organizational Policy Awareness, with a total of 26 items. Data were collected in 2021 from 110 employees working in two public organizations to evaluate the scale’s EFA analysis. Exploratory Factor Analysis (EFA) was conducted to establish the dimensional structure of the scale. The Kaiser-Meyer-Olkin measure of sampling adequacy was 0.942, indicating excellent factorability. The four-factor solution explained 60.02% of the total variance: Factor 1 (Personal Awareness and Proactive Approach) accounted for 39.54%, Factor 2 (Legal and Regulatory Awareness) for 11.19%, Factor 3 (Technical Protection and Implementation) for 4.76%, and Factor 4 (Organizational Policy Awareness) for 4.53%. All 26 items demonstrated satisfactory factor loadings, and no items required deletion. Confirmatory Factor Analysis (CFA) was performed to test the hypothesized factor structure. The overall scale demonstrated excellent internal consistency (Cronbach’s α = 0.936). Although the chi-square test was significant (χ² = 7952.667, df = 325, N = 544, p < .05), which is common in large samples, other fit indices indicated acceptable model fit: Standardized RMR = 0.085 and RMSEA = 0.083. To test the hypothesized four-factor structure derived from EFA, CFA was performed by using another 544 employees. These results support the four-dimensional structure and demonstrate that the OCAS is a reliable and valid instrument for measuring cybersecurity awareness among public sector employees.
Cybersecurity awareness public employees scale development organizational security psychometric validation
| Primary Language | English |
|---|---|
| Subjects | Development of Science, Technology and Engineering Education and Programs, Educational Technology and Computing, Specialist Studies in Education (Other) |
| Journal Section | Research Article |
| Authors | |
| Submission Date | July 10, 2025 |
| Acceptance Date | December 31, 2025 |
| Publication Date | January 23, 2026 |
| Published in Issue | Year 2026 Volume: 41 Issue: 1 |