Table 4. Logistic regression analysis for variables predicting religiosity by atheists (N = 240) and theists (N = 168) in Study 3, controlling for background variables.
Model 1 | Model 2 | |||||||
---|---|---|---|---|---|---|---|---|
B | SE B | eB | [95% CI] | B | SE B | eB | [95% CI] | |
Intercept | 1.13 | 0.52 | -0.04 | 0.95 | ||||
Gender | 0.01 | 0.22 | 1.01 | [0.65–1.57] | 0.05 | 0.23 | 1.06 | [0.68–1.64] |
Age | -0.01 | 0.02 | 0.69 | [0.95–1.04] | -0.01 | 0.02 | 0.99 | [0.95–1.04] |
AQ | 0.53 | 0.37 | 1.71 | [0.83–3.50] |
Gender is coded 1 for females and 0 for males. eB = exponentiated B, B = odds ratio. AQ = Autism Quotient. None of the models was significant. R2 (Nagelkerke) < .01 for Model 1 and R2 (Nagelkerke) = .01 for Model 2.