Table 5.

Meta-Regressions for Test-Retest Interval and Participant Age.

Moderator	Comparison	Coefficient	SMCR	SE	95% CI	p	τ	∆τ2
Test-Retest Interval (weeks)	1.2	Int	−0.258	0.046	[−0.353, −0.164]	<0.001	0.235	0.026
		b	0.001	0.001	[−0.000, 0.002]	0.038
	1.3	Int	−0.414	0.096	[−0.611, −0.217]	0.001	0.399	0.000
		b	0.007	0.008	[−0.010, 0.024]	0.198
	1.4	Int	−0.543	0.106	[−0.759, −0.327]	<0.001	0.425	0.000
		b	0.004	0.007	[−0.010, 0.017]	0.280
	2.3	Int	−0.156	0.078	[−0.316, 0.004]	0.056
		b	0.006	0.008	[−0.011, 0.024]	0.224
	3.4	Int	−0.129	0.028	[−0.187, −0.071]	<0.001
		b	−0.003	0.004	[−0.011, 0.004]	0.384
Age (yrs)	1.2	Int	−0.220	0.861	[−0.396, −0.044]	0.016	0.241	0.000
		b	−0.001	0.002	[−0.631, −0.021]	0.803
	1.3	Int	−0.326	0.149	[−0.631, −0.021]	0.037	0.401	0.000
		b	−0.001	0.003	[−0.005, 0.004]	0.717
	1.4	Int	−0.553	0.176	[−0.912, −0.195]	0.004	0.426	0.000
		b	0.001	0.004	[−0.006, 0.008]	0.392
	2.3	Int	−0.106	0.103	[−0.317, 0.105]	0.312
		b	−0.001	0.002	[−0.004, 0.003]	0.723
	3.4	Int	−0.227	0.043	[−0.314, −0.141]	<0.001
		b	0.002	0.007	[0.006, 0.004]	0.004

Note. SMCR = standardized mean change with raw score standardization, SE = standard error, CI = confidence interval, τ = estimated overall SD of the true effect from the model including moderators, ∆_τ² = proportion of explained variance of the presented model (model 2) compared to the model without moderators (model 1), as $\frac{{\mathsf{\tau }}_{model1}^2-{\mathsf{\tau }}_{model2}^2}{{\mathsf{\tau }}_{model1}^2}$ Int = Intercept, b = regression weight.