Table 1 Descriptive statistics of the sample (\(N_{victims} = 746\))
Variable | SPB | No SPB | All victims | |||
|---|---|---|---|---|---|---|
N | \(\%\) | N | \(\%\) | N | \(\%\) | |
Cyber abuse impact | ||||||
 Victim impact (\(\mu (SD)\)) | 1.36 | (0.5) | 0.98 | (0.6) | 1.13 | (0.6) |
Demographic characteristics | ||||||
 Age (\(\mu (SD)\)) | 32.7 | (11.4) | 30.3 | (25.0) | 31.2 | (20.6) |
 Gender (female) | 189 | 61.4 | 217 | 48.4 | 405 | 53.7 |
 Race (white) | 216 | 70.1 | 316 | 70.5 | 532 | 70.7 |
 Employment (employed) | 249 | 80.8 | 356 | 79.5 | 603 | 80.7 |
 OVRa (prior) | 211 | 68.5 | 356 | 79.5 | 565 | 74.9 |
Method of cyber abuse | ||||||
 M1. Direct abusive messages | 206 | 40.7 | 300 | 59.3 | 506 | 67.1 |
 M2. Indirect abuse posted online | 103 | 40.7 | 150 | 59.3 | 253 | 33.6 |
 M3. Subscription to unwanted services | 92 | 42.2 | 126 | 57.8 | 218 | 28.9 |
 M4. Impersonation online | 68 | 52.3 | 62 | 47.7 | 130 | 17.2 |
 M5. Surveillance of online activities | 99 | 61.9 | 61 | 38.1 | 160 | 21.2 |
 Number of methods of abuse (\(\mu (SD)\)) | 1.85 | (0.9) | 1.57 | (0.9) | 1.68 | (0.9) |