Skip to main content
. 2022 Aug 1:1–13. Online ahead of print. doi: 10.1007/s42380-022-00137-7

Table 3.

Summary of regression analyses for moral disengagement and cyberbullying role behaviors

Dependent variable β SE β Sig R2 change
Cyberbullying perpetration Step 1*** .058
Gender**  − .131 .049 .008
Moral disengagement*** .151 .040  < .001
Step 2 .000
Gender**  − .131 .050 .008
Moral disengagement .147 .142 .302
Moral disengagement × gender .002 .083 .978
Cyber victimization Step 1*** .043
Gender .012 .048 .796
Moral disengagement*** .165 .038  < .001
Step 2 .005
Gender .007 .048 .889
Moral disengagement  − .022 .138 .874
Moral disengagement × gender .114 .080 .158
Passive bystanding Step 1*** .071
Gender**  − .299 .103 .004
Moral disengagement*** .354 .082  < .001
Step 2 .001
Gender**  − .295 .103 .005
Moral disengagement  − .498 .296 .093
Moral disengagement × gender  − .087 .173 .613
Defending Step 1** .017
Gender* .242 .100 .016
Moral disengagement  − .061 .080 .449
Step 2 .007
Gender* .256 .100 .011
Moral disengagement .413 .286 .150
Moral disengagement × gender  − .287 .167 .086
Reinforcing Step 1*** .117
Gender  − .005 .060 .929
Moral disengagement*** .353 .048  < .001
Step 2 .000
Gender  − .007 .060 .914
Moral disengagement .315 .173 .070
Moral disengagement × gender .023 .101 .818

Gender 0 = men, 1 = women. Higher values indicate that individuals were more likely to use moral disengagement

*p < .05; **p < .01; p < .001