Table 2. Results of logistic regression for prediction of voting intention.

Step	Variable	B	SE	Wald	p	Exp(B)	Nagel-kerke’s R2	%CCC
Minimum wage initiative (N = 154)
1a	Constant	.263	.185	1.425	.154	1.301	.167	62.8%
	ST-IAT	.780	.200	3.902	<.001	2.181
1b	Constant	.117	.215	.546	.585	1.124	.511	81.8%
	Explicit measure	−2.057	.359	−5.730	<.001	.128
2	Constant	.197	.227	.868	.385	1.218	.506	81.8%
	ST-IAT	.306	.241	1.269	.204	1.358
	Explicit measure	−1.781	.367	−4.849	<.001	.168
Gripen referendum (N = 163)
1a	Constant	−1.885	.295	−6.393	<.001	.152	.321	85.1%
	ST-IAT	1.442	.300	4.802	<.001	4.229
1b	Constant	−1.727	.260	−6.638	<.001	.178	.398	85.3%
	Explicit measure	1.419	.245	5.798	<.001	4.131
2	Constant	−1.990	.319	−6.241	<.001	.137	.490	89.2%
	ST-IAT	1.015	.324	3.130	.002	2.760
	Explicit measure	1.168	.285	4.098	<.001	3.216

Notes: B = regression weight; SE = standard error of the regression weight; Wald = Wald criterion; Exp(B) = Odds ratio, the 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 intention (0 = No, 1 = Yes). All continuous variables were z-standardized prior to the analyses.