Table 4.
Analysis of variance on KEDs score
| Df | Sum Sq | Mean Sq | F-value | 2η | p-value | |
|---|---|---|---|---|---|---|
| Age | 1 | 9.62 | 9.62 | 13.05 | .17 | < .01* |
| IQ | 1 | 5.10 | 5.10 | 6.92 | .09 | < .02* |
| AlexQ-CP | 1 | 3.49 | 3.49 | 4.74 | .06 | < .04* |
| AQ-Child | 1 | 0.76 | 0.76 | 1.03 | .01 | 0.32 |
| Residuals | 51 | 37.60 | 0.74 | .65 |
IQ: Intelligence Quotient; AlexQ-CP: Alexithymia Questionnaire for Children – Parent; AQ-Child: Autism Quotient – Child. The ANOVA shows that, while adding the AlexQ-CP as a predictor significantly improves the model that includes age and IQ, inserting AQ does not significantly improve a model that already includes AlexQ-CP. *Significant at p < .05