Skip to main content
. 2022 Jul 19;17(7):e0268838. doi: 10.1371/journal.pone.0268838

Table 5. Results of the ordinal regressions models for the responses about the frequency of different cyberbullying behaviours.

1: Sending mean / indecent messages 2: Sending mean / indecent emails 3: Sending embarrassing photos 4: Pretending to be someone else 5: Revealing secrets 6: Spreading rumors/gossip
Predictors OR p OR p OR p OR p OR p OR p
Gender: M 2.35 <0.001 1.47 0.235 1.32 0.045 0.80 0.199 0.88 0.390 0.93 0.652
Age: 16–17 years (vs 14–15 years) 1.20 0.216 0.77 0.454 0.93 0.614 0.91 0.577 0.97 0.815 1.20 0.273
Age: 18–20 years (vs 14–15 years) 1.36 0.074 1.36 0.422 1.14 0.417 0.91 0.633 0.93 0.650 1.00 0.992
Agreeableness 0.78 <0.001 0.85 0.264 0.90 0.098 0.92 0.287 0.95 0.428 0.82 0.009
Extraversion 1.05 0.509 1.19 0.271 1.04 0.556 0.90 0.191 1.12 0.089 1.23 0.008
Conscientiousness 0.79 <0.001 0.86 0.283 0.81 0.001 0.73 <0.001 0.83 0.005 0.88 0.099
Emotional Stability 0.95 0.490 1.01 0.931 1.04 0.555 1.14 0.103 1.09 0.204 1.05 0.568
Openness 1.10 0.141 1.08 0.598 1.24 <0.001 1.14 0.074 1.13 0.049 1.12 0.137
N. Followers: < 200 (vs 200–500) 0.83 0.291 0.98 0.951 0.61 0.004 0.67 0.059 0.59 0.004 0.75 0.184
N. Followers: > 500 (vs 200–500) 1.01 0.967 0.71 0.431 0.86 0.409 0.96 0.847 0.74 0.106 1.28 0.228
Time on SN: < 1 h/day (vs 1–3 h/d) 1.09 0.680 0.35 0.171 0.68 0.063 0.62 0.103 0.56 0.012 0.82 0.452
Time on SN: > 3 h/day (vs 1–3 h/d) 1.44 0.013 1.11 0.754 1.00 1.000 1.00 0.990 1.08 0.573 1.17 0.332
N. of SN accounts: > 1 (vs 1) 2.15 <0.001 1.62 0.113 1.60 0.001 2.98 <0.001 1.46 0.007 2.03 <0.001
Internet addiction 1.07 0.238 1.17 0.246 1.17 0.005 1.16 0.024 1.24 <0.001 1.06 0.358
Moral Disengagement 1.78 <0.001 2.07 <0.001 1.28 <0.001 1.45 <0.001 1.24 0.001 1.48 <0.001
Observations 1120 1120 1120 1120 1120 1120
R2 Nagelkerke 0.226 0.163 0.111 0.1777 0.106 0.126

The values in this table correspond to the Odds Ratios (OR, and associated p-values) for the effects of different predictors on the self-reported frequency of 6 different cyberbullying behaviours, estimated by fitting (for each behaviour) an ordinal multiple regression. All the predictors were entered simultaneously in the regression models, in which the dependent variables were ratings of the reported frequency of the perpetration of the behaviours by the respondents, expressed on a 5-point frequency scale (from “never” to “more than 5 times”). SN = Social Networks.