From: Predicting individuals’ vulnerability to social engineering in social networks
Demographic Variable | Regression Analysis | Variance Test | Means | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Std. Beta | t | Sig. | t-value/ f-value | Sig. | ||||||||
Gender | 0.133 | 2.381 | 0.018 | −2.415 | 0.016 | Male | Female | |||||
1.87 | 2.14 | |||||||||||
Age | 0.096 | 1.714 | 0.088 | 1.932 | 0.124 | 18–24 | 25–34 | 35–44 | 45–55 | |||
1.97 | 2.28 | 1.95 | 2.56 | |||||||||
Education | 0.068 | 1.201 | 0.231 | 0.919 | 0.432 | High school | Bachelor | Master | Other | |||
1.98 | 2.12 | 1.93 | 2.7 | |||||||||
Major | 0.112 | 1.990 | 0.047 | 5.164 | < 0.001 | Comp/IT | Eng | Bus | Med | Sci | Hum | Other |
1.78 | 1.89 | 2.72 | 2.46 | 2.23 | 2.57 | 2.05 |