Table 2.

Estimated effects of variables per model on the interpretation of temporal conjunctions.

Variables	Models
	Model 1			Model 2			Model 3
	Estimate	SE	p	Estimate	SE	p	Estimate	SE	p
Intercept	1.873	0.194	0.00**	1.605	0.192	0.00**	1.608	0.195	0.00**
Group	-0.549	0.191	0.01*	-0.114	0.215	0.60	0.085	0.231	0.71
Age	0.025	0.004	0.00**	0.006	0.006	0.25	0.017	0.006	0.00**
Congruency	-0.292	0.188	0.12	-0.173	0.171	0.32	-0.169	0.174	0.33
ToM1	-	-	-	1.253	0.813	0.13	1.051	0.744	0.17
ToM2	-	-	-	-0.334	0.401	0.41	-0.698	0.420	0.10
WM	-	-	-	1.735	0.788	0.03*	1.204	0.722	0.10
ToM2*Congruency	-	-	-	1.502	0.567	0.01*	1.544	0.586	0.01*
IQ	-	-	-	-	-	-	0.015	0.006	0.02*
VA	-	-	-	-	-	-	0.016	0.007	0.03*
VA*Age	-	-	-	-	-	-	0.001	0.000	0.00**

The models were built with accuracy in the language comprehension task as the dependent variable and the variables listed in the first column as independent variables. The variable Congruency was manipulated by Type of conjunction (Before vs. After) and Clause order (Main-subordinate vs. Subordinate-main), with Before+Main-subordinate and After+Subordinate-main resulting in Congruent items, and Before+Subordinate-main and After+Main-subordinate resulting in Incongruent items. A post hoc exploration of Type of conjunction and Clause order in model 1 showed a main effect of Type of conjunction (B = -0.943; SE = 0.14; p = 0.00); ^∗p = < 0.05; ^∗∗p = < 0.01.