Table 4.

Logistic regression models 1, 2 and 3 for the dependent variable DD

	Models
	1	2	3
RSET	1.132 (.324)	-----	-----
DT	-----	2.740** (.314)	-----
SCTi	-----	-----	−.377** (.298)
SCTii	-----	-----	−.656 (296)
YFE (control)	1.117* (.055)	1.116* (.055)	1.053 (.058)
YDE (control)	−.971** (.011)	−.959*** (.011)	−.991 (.012)
Constant	.120** (.759)	−.072*** (.789)	−.485 (.870)
n=396
L(0)	426.914	426.914	426.914
L(θ)	412.642	402.152	400.322
X2	14.271***	24.762***	26.592***
Pseudo R2 Nagelkerke	.054	.092	.098

Coeficientes exp (B) and s.e between brackets. Level of significance

^*p < .05 /

^**p < .01 /

^***p < .001.