Table 3. Logistic regression analysis for variables predicting religiosity by atheists (N = 288) and theists (N = 300) in Study 2, controlling for background variables.

	Model 1				Model 2				Model 3
	B	SE B	eB	[95% CI]	B	SE B	eB	[95% CI]	B	SE B	eB	[95% CI]
Intercept	-0.79	0.29			-0.42	1.17			-1.85	1.28
Gender	0.44**	0.17	1.55	[1.12–2.15]	0.43*	0.17	1.54	[1.10–2.15]	0.54**	0.18	1.71	[1.20–2.43]
Age	0.02*	0.01	1.02	[1.00–1.03]	0.02*	0.01	1.02	[1.00–1.03]	0.03**	0.01	1.03	[1.01–1.05]
Education	0.07	0.18	1.07	[0.75–1.54]	0.09	0.19	1.09	[0.76–1.57]	0.16	0.20	1.17	[0.80–1.71]
AQ					-0.14	0.27	0.87	[0.51–1.47]	-0.05	0.28	0.95	[0.55–1.65]
EQ					-0.01	0.22	0.99	[0.64–1.53]	0.03	0.23	1.03	[0.65–1.61]
CREDs									0.41***	0.07	1.51	[1.32–1.73]
Age18*CREDs									-0.01**	0.01	0.99	[0.99–1.00]

Gender is coded 1 for females and 0 for males, education is coded 1 for high educated and 0 for low Educated. AQ = Autism Quotient, EQ = Empathizing Quotient, CREDs = Credibility Enhancing Displays scale, age18 = age centered at 18 years. eB = exponentiated B, B = odds ratio.

*p < .05.

**p < .01.

***p < .001. R² (Nagelkerke) < .01 for Model 1 and Model 2, R² (Nagelkerke) = .14 for Model 3.