Table 5.
Multilevel models explaining the prosocial post-test score (N = 194).
| Model | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| Intercept | 4.644 (0.158) **** | 4.684 (0.133) **** | 4.201 (0.222) **** | 4.200 (0.223) **** |
| Fixed Effects | ||||
| Pre-test score | 0.717 (0.078) **** | 0.733 (0.077) **** | 0.762 (0.156) **** | |
| Gender (girls as reference) | −0.312 (0.129) ** | −0.297 (0.128) ** | −0.295 (0.129) ** | |
| Age | 0.016 (0.007) ** | 0.015 (0.007) ** | 0.015 (0.007) ** | |
| Condition (control group as reference) | 0.650 (0.285) ** | 0.650 (0.259) ** | ||
| Pre-test score * Condition | −0.037 (0.176) | |||
| Random Effects | ||||
| Variance of the within-level residual errors | 0.725 (0.078) **** | 0.408 (0.057) **** | 0.409 (0.058) **** | 0.409 (0.058) **** |
| Variance of the between-level residual errors | 0.478 (0.166) *** | 0.222 (0.100) ** | 0.139 (0.072) * | 0.140 (0.073) * |
| Deviance (df) | 530.036 (3) | 252.336 (6) | 247.066 (7) | 247.022 (8) |
| Decrease in Deviance | 277.7 **** | 6 ** | 0.044 |
Note. **** = p < 0.0001, *** = p < 0.001, ** = p < 0.01, * = p < 0.05.