Table 2. Logistic regression analysis for variables predicting religiosity by atheists (N = 29,348) and theists (N = 19,575) in Study 1, controlling for background variables.

	Model 1				Model 2
	B	SE B	eB	[95% CI]	B	SE B	eB	[95% CI]
Intercept	-1.08	<0.01			-0.99	<0.01
Gender	0.01*	<0.01	1.01	[1.01–1.02]	0.01*	<0.01	1.01	[1.01–1.02]
Age	0.46*	-0.02	1.59	[1.53–1.64]	0.46*	0.02	1.58	[1.53–1.64]
Education	0.03	-0.02	1.03	[0.99–1.07]	0.03	0.02	1.03	[0.99–1.07]
AQ					-0.04	0.03	0.96	[0.92–1.01]

Gender is coded 1 for females and 0 for males, education is coded 1 for high Educated and 0 for low educated. eB = exponentiated B, B = odds ratio. AQ = Autism Quotient.

* p < .001. R² (Nagelkerke) = .02 for Model 1 and R² (Nagelkerke) = .02 for Model 2.