Table 1. Comparisons between the ET and the GET in the typically-developing samples from studies 1 and 2.

	Study 1	Study 2
	Full Sample	Younger	Older	Full Sample
Mean Difference (full)	t(114) = 8.91a,***	t(47) = 6.333***	t(36) = 7.914***	t(84) = 9.857***
ET Mean (%)	49.36%	59.97%	69.69%	64.20%
GET Mean (%)	29.32%	43.01%	45.56%	44.11%
Effect Size	Cohen’s d = 1.67	Cohen’s d = 1.85	Cohen’s d = 2.64	Cohen’s d = 2.15
Mean Difference (shortened GET)	t(114) = .938	t(47) = 4.279***	t(36) = 7.891***	t(84) = 7.976***
ET Mean (%)	49.36%	59.97%	69.69%	64.20%
GET Mean (%)	34.36%	46.46%	44.05%	45.41%
Correlation	Cohen’s d = .18	Cohen’s d = 1.25	Cohen’s d = 2.63	Cohen’s d = 1.74

Note: ^aLevene’s Test for Equality of Variances was significant, F(65,56) = 4.23, p = .042, and thus a case 4 t-test was used; ***p<.001; ET = Original Eyes Task; GET = Generative Eyes Task.