Table 2.
Predictor | Outcome | B | 95% CI | |
---|---|---|---|---|
LL | UL | |||
Constant | 0.417 ** | 0.116 | 0.719 | |
Cyberbullying victimization | Alexithymia | 0.424 ** | 0.363 | 0.485 |
Country of origin Thai | Alexithymia | −0.208 ** | −0.278 | −0.138 |
Age | Alexithymia | 0.099 ** | 0.079 | 0.120 |
Sex Female | Alexithymia | −0.107 ** | −0.176 | −0.038 |
R2 | 0.170 | |||
F | 78.515 ** | |||
Constant | 0.948 * | 0.674 | 1.221 | |
Cyberbullying victimization | Cyberbullying perpetration | 0.215 ** | 0.156 | 0.274 |
Alexithymia | Cyberbullying perpetration | 0.142 ** | 0.097 | 0.188 |
Country of origin Thai | Cyberbullying perpetration | 0.273 ** | 0.208 | 0.337 |
Age | Cyberbullying perpetration | 0.047 ** | 0.028 | 0.066 |
Sex Female | Cyberbullying perpetration | 0.148 ** | 0.085 | 0.210 |
R2 | 0.166 | |||
F | 61.186 ** |
Note: N = 1.218. LL = lower limit, UL = upper limit. * p < 0.01 ** p < 0.001.