Table 2 Reliability and convergent validity tests
From: Predicting individuals’ vulnerability to social engineering in social networks
Constructs | Dimensions | Cronbach’s Alpha | rho_A | Composite Reliability | Average Variance Extracted (AVE) |
|---|---|---|---|---|---|
Involvement | 0.706 | 0.733 | 0.870 | 0.771 | |
Num_Con | 1.000 | 1.000 | 1.000 | 1.000 | |
knownFR | 1.000 | 1.000 | 1.000 | 1.000 | |
SNEXP | 1.000 | 1.000 | 1.000 | 1.000 | |
Risk | Severity | 0.868 | 0.868 | 0.919 | 0.792 |
Likelihood | 0.829 | 0.834 | 0.898 | 0.746 | |
Competence | Security | 0.715 | 0.715 | 0.875 | 0.778 |
Privacy | 0.710 | 0.710 | 0.873 | 0.775 | |
Self-efficacy | 0.762 | 0.763 | 0.894 | 0.808 | |
CCEXP | 0.777 | 0.923 | 0.843 | 0.576 | |
Trust | TrustM | 0.867 | 0.868 | 0.919 | 0.791 |
TrustP | 0.862 | 0.862 | 0.916 | 0.784 | |
Motivation | Hedonic | 0.727 | 0.738 | 0.879 | 0.784 |
Social | 0.709 | 0.712 | 0.873 | 0.774 | |
Susceptibility | 0.877 | 0.896 | 0.905 | 0.616 |