Table 3.

Regression models estimates – 2015–2017 dataset^a,b,c

	Hierarchical Regression Model (n2 = 26,543)			Logistic Regression Model
Predictor	Block 1	Block 2	Block 3
Year of Administration	−0.004 (−0.016; 0.007) p < 0.453	−0.004 (−0.016; 0.007) p < 0.452	−0.003 (−0.016; 0.008) p < 0.506	−0.032 (−0.18; 0.124) p < 0.664, Exp(β) = 0.969
Grade	0.014 (−0.005; 0.034) p < 0.157	0.014 (−0.005; 0.034) p < 0.157	0.013 (−0.005; 0.033) p < 0.177	0.047 (−0.198; 0.323) p < 0.688, Exp(β) = 1.048
Sex	0.091 (0.070; 0.112) p < 0.001	0.091 (0.070; 0.111) p < 0.001	0.097 (0.075; 0.120) p < 0.001	1.407 (1.109; 1.744) p < 0.001, Exp(β) = 4.083
Father Education	−0.011 (−0.021; −0.001) p < 0.034	−0.011 (−0.021; −0.000) p < 0.036	−0.010 (−0.021; −0.000) p < 0.045	−0.162 (−0.289; −0.031) p < 0.011, Exp(β) = 0.850
Mother Education	−0.003 (−0.013; 0.006) p < 0.473	−0.003 (−0.013; 0.006) p < 0.47	−0.003 (−0.013; 0.006) p < 0.483	−0.085 (−0.197; 0.034) p < 0.154, Exp(β) = 0.919
Daily TV	−0.021 (−0.050; 0.007) p < 0.134	−0.021 (−0.050; 0.008) p < 0.149	−0.014 (−0.043; 0.014) p < 0.304	0.001 (−0.335; 0.381) p < 0.993, Exp(β) = 1.001
(Daily TV)2	0.007 (0.001; 0.014) p < 0.025	0.007 (0.000; 0.014) p < 0.028	0.006 (−0.000; 0.012) p < 0.067	0.036 (−0.042; 0.103) p < 0.298, Exp(β) = 1.036
Daily Video Gaming		0.001 (−0.005; 0.009) p < 0.725	−0.053 (−0.075; −0.031) p < 0.002	−0.768 (−1.165; −0.442) p < 0.001, Exp(β) = 0.464
(Daily Video Gaming)2			0.010 (0.005; 0.014) p < 0.002	0.136 (0.082; 0.2) p < 0.001, Exp(β) = 1.146
R2††	0.6%	0.6%	0.7%	5.3%
ΔR2	0.6% (p < 0.00)	0.0% (p < 0.669)	0.1% (p < 0.000)	NA

^aSignificant values, at least at p < 0.05, are bolded and italicized.

^bAll cells include unstandardized coefficients, bootstrapping-based 95% bias-corrected confidence intervals for the coefficients, and two-sided p-values.

^cFor the logistic regression model, cells also include e^β and pseudo R (Nagelkerke R Square).