Table 1 Participants’ demographics
From: Predicting individuals’ vulnerability to social engineering in social networks
Demographic | Frequency | Percent | Cumulative Percent |
|---|---|---|---|
Gender | |||
Male | 123 | 38.9 | 38.9 |
Female | 193 | 61.1 | 100.0 |
Total | 316 | 100.0 | |
Age | |||
18–24 | 240 | 75.9 | 75.9 |
25–34 | 57 | 18.0 | 94.0 |
35–44 | 14 | 4.4 | 98.4 |
45–55 | 5 | 1.6 | 100.0 |
Total | 316 | 100.0 | |
Education Level | |||
High school | 187 | 59.2 | 59.2 |
Bachelor’s degree | 112 | 35.4 | 94.6 |
Master’s degree | 14 | 4.4 | 99.1 |
Other, please specify | 3 | .9 | 100.0 |
Total | 316 | 100.0 | |
Major | |||
Computer Science/IT | 124 | 39.2 | 39.2 |
Engineering | 32 | 10.1 | 49.4 |
Business/Administrative Sciences | 38 | 12.0 | 61.4 |
Medical Sciences | 5 | 1.6 | 63.0 |
Science | 15 | 4.7 | 67.7 |
Humanities and Arts | 6 | 1.9 | 69.6 |
Other, please specify | 96 | 30.4 | 100.0 |
Total | 316 | 100.0 | |