Logistic Regression Results with Standard Errors
Model	Variable	Coefficient (SE)	Odds Ratio	Lower 95% CI	Upper 95% CI	Significance
Model 1	Intercept	-1.94 (0.26)	0.14	0.09	0.24	<0.001
Model 1	Female	-0.26 (0.09)	0.77	0.64	0.92	0.004
Model 1	Rural	-0.13 (0.09)	0.88	0.74	1.05	0.166
Model 1	Attend Meeting (Linear)	0.51 (0.12)	1.66	1.31	2.12	<0.001
Model 1	Attend Meeting (Quadratic)	0.06 (0.11)	1.06	0.85	1.33	0.588
Model 1	Attend Meeting (Cubic)	-0.24 (0.1)	0.78	0.64	0.96	0.019
Model 1	Attend March (Linear)	-0.02 (0.22)	0.98	0.63	1.53	0.93
Model 1	Attend March (Quadratic)	0.61 (0.2)	1.83	1.24	2.72	0.003
Model 1	Attend March (Cubic)	0.15 (0.17)	1.16	0.83	1.62	0.38
Model 1	Age	0.04 (0)	1.04	1.03	1.05	<0.001
Model 1	Part-time Employed	0.33 (0.12)	1.39	1.11	1.75	0.004
Model 1	Full-time Employed	0.57 (0.11)	1.78	1.44	2.19	<0.001
Model 1	Voter Freedom	0.27 (0.05)	1.31	1.19	1.45	<0.001
Model 2	Intercept	-1.85 (0.29)	0.16	0.09	0.28	<0.001
Model 2	Female	-0.48 (0.3)	0.62	0.34	1.12	0.113
Model 2	Rural	-0.12 (0.09)	0.88	0.74	1.06	0.179
Model 2	Attend Meeting (Linear)	0.51 (0.12)	1.67	1.31	2.12	<0.001
Model 2	Attend Meeting (Quadratic)	0.06 (0.11)	1.07	0.85	1.33	0.58
Model 2	Attend Meeting (Cubic)	-0.25 (0.1)	0.78	0.64	0.96	0.019
Model 2	Attend March (Linear)	-0.02 (0.22)	0.98	0.63	1.53	0.915
Model 2	Attend March (Quadratic)	0.6 (0.2)	1.83	1.24	2.72	0.003
Model 2	Attend March (Cubic)	0.15 (0.17)	1.16	0.83	1.62	0.392
Model 2	Age	0.03 (0.01)	1.03	1.02	1.05	<0.001
Model 2	Part-time Employed	0.33 (0.12)	1.39	1.11	1.75	0.005
Model 2	Full-time Employed	0.57 (0.11)	1.77	1.44	2.19	<0.001
Model 2	Voter Freedom	0.27 (0.05)	1.31	1.19	1.45	<0.001
Model 2	Age × Female	0.01 (0.01)	1.01	0.99	1.03	0.455