Logistic Regression Results with Odds Ratios
Model	Variable	Coefficient (SE)	Odds Ratio	Lower 95% CI	Upper 95% CI	Significance
Model 1	Intercept	-1.66 (0.42)	0.19	0.08	0.43	***
Model 1	Female	-0.36 (0.15)	0.69	0.51	0.94	*
Model 1	Rural	-0.01 (0.16)	0.99	0.73	1.35
Model 1	Attend Meeting (Linear)	0.11 (0.19)	1.12	0.78	1.61
Model 1	Attend Meeting (Quadratic)	-0.26 (0.17)	0.77	0.55	1.09
Model 1	Attend Meeting (Cubic)	-0.17 (0.16)	0.85	0.62	1.15
Model 1	Attend March (Linear)	-0.04 (0.31)	0.96	0.53	1.80
Model 1	Attend March (Quadratic)	0.62 (0.26)	1.86	1.12	3.15	*
Model 1	Attend March (Cubic)	0.2 (0.2)	1.22	0.82	1.82
Model 1	Age	0.01 (0.01)	1.01	1.00	1.03
Model 1	Part-time Employed	0.23 (0.19)	1.26	0.86	1.83
Model 1	Full-time Employed	0.55 (0.19)	1.73	1.20	2.49	**
Model 1	Voter Freedom	0.39 (0.08)	1.47	1.25	1.74	***
Model 2	Intercept	-1.62 (0.46)	0.20	0.08	0.48	***
Model 2	Female	-0.45 (0.51)	0.64	0.23	1.73
Model 2	Rural	-0.01 (0.16)	0.99	0.73	1.35
Model 2	Attend Meeting (Linear)	0.11 (0.19)	1.12	0.78	1.62
Model 2	Attend Meeting (Quadratic)	-0.26 (0.17)	0.77	0.55	1.09
Model 2	Attend Meeting (Cubic)	-0.17 (0.16)	0.85	0.62	1.15
Model 2	Attend March (Linear)	-0.04 (0.31)	0.96	0.53	1.80
Model 2	Attend March (Quadratic)	0.62 (0.26)	1.86	1.12	3.15	*
Model 2	Attend March (Cubic)	0.2 (0.2)	1.22	0.82	1.81
Model 2	Age	0.01 (0.01)	1.01	0.99	1.03
Model 2	Part-time Employed	0.23 (0.19)	1.25	0.86	1.83
Model 2	Full-time Employed	0.54 (0.19)	1.72	1.20	2.49	**
Model 2	Voter Freedom	0.39 (0.08)	1.47	1.25	1.74	***
Model 2	Age × Female	0 (0.02)	1.00	0.97	1.03