Table 2.

Regression models estimates – 2012–2014 dataset^a,b,c

	Hierarchical Regression Model (n1 = 24,779)			Logistic Regression Model
Predictor	Block 1	Block 2	Block 3
Year of Administration	−0.015 (−0.028; −0.001) p < 0.015	−0.017 (−0.030; −0.003) p < 0.008	−0.017 (−0.030; −0.002) p < 0.01	−0.156 (−0.303; −0.016) p < 0.026, Exp(β) = 0.855
Grade	0.031 (0.007; 0.055) p < 0.013	0.030 (0.006; 0.055) p < 0.013	0.028 (0.004; 0.053) p < 0.019	0.157 (−0.094; 0.4) p < 0.196, Exp(β) = 1.17
Sex	0.126 (0.102; 0.149) p < 0.001	0.124 (0.099; 0.147) p < 0.001	0.130 (0.105; 0.154) p < 0.001	1.673 (1.411; 2.024) p < 0.001, Exp(β) = 5.326
Father Education	0.000 (−0.012; 0.013) p < 0.936	0.001 (−0.011; 0.013) p < 0.863	0.001 (−0.010; 0.014) p < 0.759	−0.049 (−0.169; 0.075) p < 0.450, Exp(β) = 0.952
Mother Education	−0.008 (−0.020; 0.002) p < 0.157	−0.008 (−0.019; 0.003) p < 0.161	−0.008 (−0.019; 0.003) p < 0.163	−0.072 (−0.18; 0.037) p < 0.230, Exp(β) = 0.931
Daily TV	−0.022 (−0.059; 0.010) p < 0.212	−0.020 (−0.056; 0.012) p < 0.263	−0.011 (−0.046; 0.023) p < 0.545	−0.138 (−0.457; 0.158) p < 0.357, Exp(β) = 0.871
(Daily TV)2	0.007 (0.000; 0.015) p < 0.057	0.006 (−0.000; 0.014) p < 0.113	0.004 (−0.002; 0.012) p < 0.232	0.043 (−0.016; 0.102) p < 0.152, Exp(β) = 1.044
Daily Video Gaming		0.013 (0.004; 0.023) p < 0.003	−0.051 (−0.081; −0.024) p < 0.001	−0.514 (−0.876; −0.213) p < 0.001, Exp(β) = 0.598
(Daily Video Gaming)2			0.012 (0.006; 0.017) p < 0.001	0.110 (0.058; 0.167) p < 0.001, Exp(β) = 1.116
R2††	0.6%	0.7%	0.9%	6.6%
ΔR2	0.6% (p < 0.000)	0.1% (p < 0.000)	0.2% (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 R² (Nagelkerke R Square).