Table 6. Results of the multiple binary logistic regression analyses involving the candidates IAT in Study 2, separately for decided and undecided voters.

Step	Variable	B	SE	Wald	p	Exp(B)	Nagel-kerke’s R2	% CCC
Decided voters (N = 410)
1a	Constant	.162	.122	1.776	.183	1.176	.412	79.3
	IATcandidates	1.545	.156	98.621	<.001	2.038
1b	Constant	.366	.153	5.694	.017	1.442	.631	85.6
	Explicitcandidates	2.325	.204	130.052	<.001	10.227
2	Constant	.394	.159	6.103	.013	1.483	.658	86.6
	IATcandidates	.737	.187	15.607	<.001	2.091
	Explicitcandidates	1.975	.215	84.580	<.001	7.206
Undecided voters (N = 210)
1a	Constant	−.144	.146	.975	.323	.866	.138	65.7
	IATcandidates	.712	.159	19.989	<.001	2.038
1b	Constant	−.157	.150	1.086	.297	.855	.199	64.3
	Explicitcandidates	.899	.172	27.450	<.001	2.456
2	Constant	−.164	.154	1.132	.287	.849	.248	67.1
	IATcandidates	.498	.168	8.805	.003	1.645
	Explicitcandidates	.750	.178	17.790	<.001	2.118

Note. 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 separately for decided and undecided voters prior to the analyses.