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From Awareness to Practice: Domain-Specific Information Security Awareness as a Predictor of Self-Reported Cybersecurity Practices among University Personnel Cover

From Awareness to Practice: Domain-Specific Information Security Awareness as a Predictor of Self-Reported Cybersecurity Practices among University Personnel

By:   
Open Access
|Jul 2026

Figures & Tables

Figure 1.

Conceptual Framework of Information Security Awareness and Self-Reported Cybersecurity Practices

Table 1.

Descriptive Statistics for Information Security Awareness Domains

Awareness DomainMeanSDMinimumMaximum
Security Policy Awareness3.450.7731.405.00
Password Security Awareness4.180.5463.005.00
Phishing Awareness3.690.8341.005.00
Data Protection Awareness3.520.7941.005.00
Device Security Awareness3.860.6741.605.00
Social Engineering Awareness3.330.8251.205.00

1 Note. N = 160. Higher scores indicate stronger information security awareness. Values are based on a five-point Likert scale ranging from 1 = Strongly Disagree to 5 = Strongly Agree.

Table 2.

Descriptive Statistics for Self-Reported Cybersecurity Practice Domains

Cybersecurity Practice DomainMeanSDMinimumMaximum
Password Management Practices3.760.7291.805.00
Safe Browsing Practices3.920.8631.405.00
Data Protection Practices2.901.0031.004.80
Device Security Practices3.630.8881.805.00
Social Engineering Practices4.150.7911.405.00

1 Note. N = 160. Higher scores indicate more consistent self-reported implementation of cybersecurity practices. Values are based on a five-point Likert scale ranging from 1 = Strongly Disagree to 5 = Strongly Agree.

Table 3.

Pearson Correlation Matrix for Information Security Awareness Domains

Variable123456
1. Security Policy Awareness-
2. Password Security Awareness0.509***-
3. Phishing Awareness0.451***0.593***-
4. Data Protection Awareness0.596***0.723***0.774***-
5. Device Security Awareness0.507***0.678***0.762***0.814***-
6. Social Engineering Awareness0.466***0.509***0.721***0.696***0.699***-

1 Note. N = 160.

1*** p < 0.001.

Table 4.

Pearson Correlation Matrix for Self-Reported Cybersecurity Practice Domains

Variable12345
1. Password Management Practices-
2. Safe Browsing Practices0.594***-
3. Data Protection Practices0.648***0.662***-
4. Device Security Practices0.666***0.766***0.694***-
5. Social Engineering Practices0.583***0.734***0.532***0.579***-

1 Note. N = 160.

1*** p < 0.001.

Table 5.

Simple Linear Regression Predicting Self-Reported Cybersecurity Practices from Overall Information Security Awareness

PredictorBSEßtp95% CI for BToleranceVIF
Intercept0.5240.2367-2.210.028[0.0560, 0.991]--
Overall Information
Security Awareness0.8570.06360.73213.49< 0.001[0.7318, 0.983]1.001.00

1 Note. N = 160. B = unstandardized coefficient; SE = standard error; β = standardized coefficient; CI = confidence interval; VIF = variance inflation factor. Model fit: R = 0.732, R2 = 0.535.

Table 6.

Multiple Regression Predicting Self-Reported Cybersecurity Practices from Information Security Awareness Domains

PredictorBSEβtp95% CI for BToleranceVIF
Intercept0.31710.3242-0.9780.330[-0.3234, 0.958]--
Security Policy Awareness0.07020.06380.07491.1000.273[-0.0559, 0.196]0.6241.60
Password Security Awareness0.26460.10730.19922.4660.015[0.0526, 0.477]0.4432.26
Phishing Awareness0.24080.08380.27722.8740.005[0.0753, 0.406]0.3113.22
Data Protection Awareness-0.04670.1053-0.0511-0.4440.658[-0.2547, 0.161]0.2174.60
Social Engineering Awareness0.23740.07390.27013.2130.002[0.0914, 0.383]0.4092.45
Device Security Awareness0.12750.11160.11851.142.0255[-0.0931, 0.348]0.2683.73

1 Note. N = 160. B = unstandardized coefficient; SE = standard error; β = standardized coefficient; CI = confidence interval; VIF = variance inflation factor. Model fit: R = 0.747, R2 = 0.558, Adjusted R2 = 0.541.

DOI: https://doi.org/10.2478/ias-2026-0009 | Journal eISSN: 1554-1029 | Journal ISSN: 1554-1010
Language: English
Page range: 173 - 190
Published on: Jul 8, 2026
Published by: Cerebration Science Publishing Co., Limited
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2026 Noli B. Lucila, published by Cerebration Science Publishing Co., Limited
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.