Table 4.
Model of individual differences math ability and longitudinal change in L-R IPS connectivity (Fig. 4)
| Connectivity (gPPI) | |
|---|---|
| R IPS | |
| Fixed effects | |
| Intercept estimate (SE) | −9.26 (3.14) |
| Intercept t (p) | −2.95 (0.0065) |
| Age slope estimate (SE) | 0.11 (0.07) |
| Age slope t (p) | 1.71 (0.092) |
| NumOps estimate (SE) | 0.07 (0.03) |
| NumOps t (p) | 2.61 (0.015) |
| Random effects | |
| Intercept variance | 0.13 |
| Residual variance | 0.87 |
| AIC | 205.6 |
Values for each term included in the final model and their significance are noted below. These include fixed-effect terms (regression coefficients and their standard errors) and random-effect terms (intercept variance and slope variance). Model-fitting procedures are described in the Methods section. Bold items indicate significant t statistics. Random effects are across individuals
SE standard error, AIC Akaike information criterion, R right hemisphere, IPS intraparietal sulcus