. 2019 Mar 19;14(3):e0212263. doi: 10.1371/journal.pone.0212263

Table 3. OLS Regression coefficients predicting political engagement offline.

	Model 1		Model 2		Model 3		Model 4
	B	Beta	B	Beta	B	Beta	B	Beta
	-1.8		-2.917		-3.124		-3.83
FB News Reliance	0.305	0.076^*	0.103	0.026	0.052	0.013	-0.018	-0.005
Heavy FB user	0.176	0.046	0.135	0.035	0.118	0.031	0.086	0.023
Uses FB Often	0.009	0.059	0.011	0.076^*	0.011	0.078^*	0.012	0.083^*
Follows news sites and gov’t agencies on FB	0.761	0.308^*	0.643	0.26^*	0.625	0.253^*	0.66	0.267^*
Political engagement on FB	0.235	0.043	0.207	0.038	0.206	0.037	0.239	0.043
Attention to politics on FB	0.199	0.109^*	0.022	0.012	0.021	0.012	0.017	0.009
FB Informs on politics	0.073	0.018	-0.023	-0.006	-0.024	-0.006	-0.058	-0.014
FB friends with different views	-0.003	-0.001	-0.013	-0.003	-0.029	-0.007	-0.052	-0.012
FB friends politically active	0.099	0.027	0.079	0.022	0.088	0.024	0.065	0.018
Follows traditional news			-0.078	-0.022	-0.083	-0.024	-0.115	-0.033
Interest in politics			0.654	0.159^*	0.648	0.157^*	0.626	0.152^*
Discussing politics			0.663	0.134^*	0.584	0.118^*	0.635	0.128^*
Political knowledge					0.105	0.055	0.08	0.042
Age							0.017	0.047
Education							0.092	0.051
Female							0.06	0.012
Income group							0.014	0.005
R²	0.228		0.261		0.263		0.27
Adjusted R²	0.219		0.25		0.251		0.255

*p < .05

**p < .01

***p < .0001