Table 2.
Latent correlations and regression weights from a latent structural equation model (n = 615 German University Students)
| Variables | Corr(lat) | SE | z | p | CI95% | |
|---|---|---|---|---|---|---|
| Cyber-bullying perpetration ~~ | ||||||
| Personal BJW | −.19 | 0.05 | −4.23 | < .01 | −.28, | −.10 |
| General BJW | −.06 | 0.06 | −1.06 | .29 | −.17, | .05 |
| Affective empathy | −.18 | 0.06 | −3.21 | < .01 | −.29, | −.07 |
| Cognitive empathy | −.20 | 0.04 | −4.43 | < .01 | −.28, | −.11 |
| Lecturer justice | −.18 | 0.06 | −3.05 | < .01 | −.29, | −.06 |
| Fellow student justice | −.12 | 0.06 | −2.17 | .03 | −.23, | −.01 |
| Social desirability | −.28 | 0.06 | −4.69 | < .01 | −.40, | −.17 |
| Cyber-bullying victimization ~~ | ||||||
| Personal BJW | −.25 | 0.05 | −4.96 | < .01 | −.35, | −.15 |
| General BJW | < .01 | 0.05 | 0.03 | .98 | −.10, | .10 |
| Affective empathy | −.11 | 0.06 | −1.79 | .07 | −.22, | .01 |
| Cognitive empathy | −.11 | 0.06 | −1.77 | .08 | −.22, | .01 |
| Lecturer justice | −.26 | 0.06 | −4.72 | < .01 | −.37, | −.15 |
| Fellow student justice | −.23 | 0.05 | −4.26 | < .01 | −.33, | −.12 |
| Social desirability | −.21 | 0.08 | −2.80 | .01 | −.36, | −.06 |
| Personal BJW ~ ~ | ||||||
| Lecturer justice | .53 | 0.04 | 12.22 | < .01 | .45 | .62 |
| Fellow student justice | .54 | 0.05 | 12.03 | < .01 | .45 | .63 |
| General BJW ~ ~ | ||||||
| Lecturer justice | < .01 | 0.05 | −0.02 | .98 | −.10 | .10 |
| Fellow student justice | −.02 | 0.06 | −0.40 | .69 | −.13 | .09 |
| Variables | β | SE | z | p | CI95% | |
| Cyber-bullying perpetration ~ | ||||||
| Gender | .23 | 0.05 | 4.50 | < .01 | .13 | .33 |
| Internet use | .05 | 0.03 | 1.42 | .16 | −.02 | .12 |
| Cyber-bullying victimization ~ | ||||||
| Gender | .22 | 0.06 | 3.54 | < .01 | .10 | .34 |
| Internet use | .05 | 0.04 | 1.34 | .18 | −.02 | .12 |
Corr(lat) latent correlation. BJW belief in a just world. Cyber-bullying perpetration and victimization ranged between 1 and 5, all other variables between 1 and 6, with higher values indicating a stronger endorsement of the constructs. For gender, 1 = female, 2 = male. Internet use: average hours spent daily on the internet