Biology of Sex Differences

Table 2 Influence of TIV in the observed differences and similarities in the raw and in the PCP datasets

From: Univariate and multivariate sex differences and similarities in gray matter volume within essential language-processing areas

Raw dataset				PCP-dataset
Statistic	rho	p value	fdr- p value	Statistic	rho	p value	fdr- p value
Quantile				Quantile
0.1	0.511	0.003	0.004	0.1	0.273	0.024	0.221
0.2	0.589	p < 0.001	0.002	0.2	0.049	0.126	0.283
0.3	0.612	p < 0.001	0.002	0.3	0.046	0.173	0.283
0.4	0.631	0.001	0.002	0.4	0.073	0.189	0.283
0.5	0.616	p < 0.001	0.002	0.5	0.030	0.352	0.352
0.6	0.653	p < 0.001	0.002	0.6	0.036	0.344	0.352
0.7	0.593	0.002	0.003	0.7	0.009	0.334	0.352
0.8	0.573	0.004	0.005	0.8	0.123	0.094	0.282
0.9	0.120	0.120	0.120	0.9	0.337	0.071	0.282
Cliff’s delta	0.697	0.001	0.001	Cliff’s delta	− 0.001	0.996	0.996
Cohen’s U3	0.671	0.002	0.002	Cohen’s U3	− 0.053	0.836	0.836
Overlap	-0.686	0.002	0.002	Overlap	− 0.179	0.478	0.478

Spearman’s rho correlations were calculated between the proportion of variance explained by TIV (R²) and the estimates of the sex differences/similarities (differences at each decile value, Cliff’s delta, Cohen’s U3, and percent of overlap) obtained in the raw and in the PCP dataset

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ISSN: 2042-6410

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