Determination of hemispheric emotional valence in individual subjects: A new approach with research and therapeutic implications

Table 5 This table shows summaries for five regression models each using one of the administered psychological tests as it dependent variable. Emphasis is on the effects of adding D_AEP and all its interactions to regression models after first using only gender, group and their interactions. For most dependent variables, adding D_AEP and its interactions improved the R² values as demonstrated by the significance of the F changes in the table under Model 2.

Dependent Variable	Model Summary	Model 1 Gender, Group, interactions	Model 2 Adding D_AEP and Interactions
ASIQ_T	R²	0.051	0.755
	F	1.310	11.060
	df	3,14	4,10
	Sig. F Change		0.001
SCL_OVR	R²	0.534	0.720
	F	9.180	6.020
	df	3,24	4,20
	Sig. F Change		0.002
HAM_D	R²	0.622	0.762
	F	13.165	2.940
	df	3,24	4,20
	Sig. F Change		0.046, ns
DES	R²	0.220	0.634
	F	2.263	5.647
	df	3,24	4,20
	Sig. F Change		0.003
MISS	R²	0.194	0.534
	F	1.930	3.640
	df	3,24	4,20
	Sig. F Change		0.022, ns

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