Table 5.

Logistic regression models 4, 5 and 6 for the dependent variable DD

	Models
	4	5	6	7
RSET	1.059 (.332)	1.092 (.330)	-----	1.026 (.340)
DT	2.730 *** (.315)	-----	2.779*** (.322)	2.775*** (.322)
SCTi	-----	−.371 ** (.297)	−.366*** (.303)	−.366*** (.304)
YFE (control)	1.116* (.055)	1.067 (.058)	1.064 (.088)	1.064 (.088)
YDE (control)	−.960 *** (.011)	−.988 (.012)	−.977 (.012)	−.977 (.013)
Constant	−.071 ** (.792)	−.310 (.821)	−.189 (.846)	−.188 (.850)
n=396
L(0)	426.914	426.914	426.914	426.914
L(θ)	402.122	402.234	391.065	391.059
X2	24.791***	24.680***	35.849***	35.854***
Pseudo R2 Nagelkerke	.091	.092	.131	.131

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

^*p < 0.05 /

^**p < 0.01 /

^***p < 0.001.