Table 3. Statistical tests on age trajectories: mixed-effects regression models predicting z-scored parameter values from task (A, B, C), age, and squared age (months).

When the task-less model fitted best, the coefficients of this (‘grand’) model are shown, reflecting shared age trajectories (Table 2; $\frac{1}{\beta }/ϵ$, ${\alpha }_{+}$, forgetting). When the age-based model fitted better, pairwise follow-up models are shown (${\alpha }_{-}$), reflecting task differences. p-Values of follow-up models were corrected for multiple comparison using the Bonferroni correction. * ${\displaystyle p<.05}$; ** ${\displaystyle p<.01}$, *** ${\displaystyle p<.001}$.

Parameter	Tasks	Predictor	${\displaystyle \beta }$	$p$(Bonf.)	sig.
$\frac{1}{\beta }/ϵ$	A, B, C	Intercept	1.86	${\displaystyle <0.001}$	***
		Age (linear)	–0.17	0.003	**
		Age (quadratic)	0.004	${\displaystyle <0.001}$	***
${\alpha }_{+}$	A, B, C	Intercept	–2.10	${\displaystyle <0.001}$	***
		Age (linear)	0.20	${\displaystyle <0.001}$	***
		Age (quadratic)	–0.004	${\displaystyle <0.001}$	***
${\alpha }_{-}$	B, C	Task (main effect)	4.15	${\displaystyle <0.001}$	***
		Task * linear age (interaction)	0.43	${\displaystyle <0.001}$	***
		Task * quadratic age (interaction)	–0.010	${\displaystyle <0.001}$	***
Forgetting	A, C	Intercept	0.37	0.44
		Age (linear)	–0.034	0.53
		Age (quadratic)	0.001	0.63