Table 7. Results of multiple binary logistic regression analyses involving the candidates IAT in Study 2.
| Step | Variable | B | SE | Wald | p | Exp(B) | Nagel-kerke’s R2 | % CCC |
| 1 | Constant | .036 | .092 | .149 | .700 | 1.036 | .310 | 74.0 |
| IATcandidates | 1.219 | .111 | 120.220 | <.001 | 3.385 | |||
| 2 | Constant | −.054 | .147 | .136 | .713 | .947 | .329 | 74.7 |
| IATcandidates | .739 | .165 | 19.989 | <.001 | 2.093 | |||
| Decidedness | .121 | .190 | .403 | .525 | 1.128 | |||
| IATcandidates* Decidedness | .786 | .226 | 12.134 | <.001 | 2.194 | |||
| 3 | Constant | −.171 | .163 | 1.090 | .297 | .843 | .533 | 79.4 |
| IATcandidates | .446 | .180 | 6.151 | .013 | 1.562 | |||
| Decidedness | .468 | .222 | 4.429 | .035 | 1.597 | |||
| IATcandidates* Decidedness | .358 | .248 | 2.084 | .149 | 1.431 | |||
| Explicitcandidates | 1.503 | .147 | 104.457 | <.001 | 4.496 | |||
| 4 | Constant | −.128 | .157 | .663 | .416 | .880 | .542 | 80.2 |
| IATcandidates | .516 | .174 | 8.791 | .003 | 1.675 | |||
| Decidedness | .496 | .223 | 4.933 | .026 | 1.642 | |||
| IATcandidates* Decidedness | .217 | .258 | .703 | .402 | 1.242 | |||
| Explicitcandidates | .978 | .232 | 17.769 | <.001 | 2.660 | |||
| Explicitcandidates* Decidedness | .814 | .304 | 7.162 | .007 | 2.258 | |||
| IATcandidates* Explicitcandidates | .017 | .164 | .011 | .917 | 1.017 |
Note. N = 620. B: regression weight B; SE: standard error of the regression weight B; Wald: Wald criterion; Exp(B): Odds ratio. Relative amount by which the odds increase (Exp(B) >1.0) or decrease (Exp(B) <1.0) when the value of the predictor is increased by 1 unit; CCC: correctly classified cases; DV: voting behavior (0 = right political camp, 1 = left political camp). All continuous variables were z-standardized prior to the analyses.