Table 4.

Post-hoc analyses, cluster × index.

	Between-subjects comparison			Within-subject comparison
	Verbal profile vs non-verbal profile	Verbal profile vs homogeneous profile	Non-verbal profile vs homogeneous profile	Verbal profile	Non-verbal profile	Homogeneous profile
Verbal index	t = 10.96 p < .001 d = 1.19 BF10 = 9.53 × 1013	t = −2.29 p = 0.03 d = 0.32 BF10 = 3.17	t = −9.88 p < .001 d = 1.40 BF10 = 3.03 × 1019	t = 5.83 p < .001 d = 0.61 BF10 = 6.69 × 103	t = −4.36 p < .001 d = 0.60 BF10 = 1.12 × 102	t = −0.94 p = 0.36 d = 0.10 BF10 = 0.34
Non-verbal index	t = 0.41 p = 0.70 d = 0.05 BF10 = 0.30	t = −8.13 p =  < .001 d = 0.96 BF10 = 2.89 × 1010	t = −10.44 p < .001 d = 0.94 BF10 = 2.89 × 107

t  t-test value; p significance level; d  Cohen’s d expressing the effect size; BF₁₀  Bayes factor expressing the probability of the data given H1 relative to H0.