Table 4.

Predicting Impressions of Generalization Faces From Activation of the Angry Output Unit Controlling for Attractiveness, Babyfaceness, and Face Sex

Regression step	Predictor	Competence			Danger			Likeable			Expressive/loud
		B	(SE)	β	B	(SE)	β	B	(SE)	β	B	(SE)	β
Step 1	Intercept	2.90	(.163)		6.04	(.193)		1.46	(.160)		3.31	(.184)
	Korean (vs. White faces)	0.61	(.070)	.45***	−0.30	(.083)	−.19***	−0.14	(.069)	−.09*	−0.82	(.079)	−.50***
	Black (vs. White faces)	−0.21	(.069)	−.15**	0.37	(.082)	.22***	−0.23	(.068)	−.15**	0.11	(.078)	.06
Step 2	Intercept	2.92	(.159)		6.01	(.188)		1.48	(.158)		3.30	(.185)
	Korean (vs. White faces)	0.48	(.075)	.36***	−0.15	(.089)	−.09	−0.24	(.075)	−.17**	−0.79	(.087)	−.48***
	Black (vs. White faces)	−0.32	(.073)	−.22***	0.50	(.086)	.30***	−0.32	(.072)	−.20***	0.14	(.084)	.08
	Angry unit activation	−0.01	(.001)	−.18***	0.01	(.002)	.20***	−0.004	(.001)	−.14**	0.001	(.001)	.04
Step 3	Intercept	2.93	(.159)		5.99	(.189)		1.50	(.158)		3.27	(.184)
	Korean (vs. White faces)	0.45	(.077)	.33***	−0.11	(.091)	−.07	−0.27	(.076)	−.18***	−0.76	(.089)	−.46***
	Black (vs. White faces)	−0.34	(.075)	−.23***	0.50	(.089)	.30***	−0.32	(.074)	−.21***	0.11	(.087)	.07
	Angry unit activation	−0.01	(.002)	−.28***	0.01	(.002)	.26**	−0.01	(.002)	−.21**	0.002	(.002)	.07
	Angry × Korean	0.003	(.003)	.06	−0.001	(.004)	−.01	0.001	(.003)	.02	0.003	(.004)	.05
	Angry × Black	0.01	(.003)	.11*	−0.01	(.003)	−.09	0.01	(.003)	.08†	−.01	(.003)	−0.09†

Note. Face sex was coded 0 for male faces and 1 for female faces. Korean was coded 1 for Korean faces and 0 for others; Black was coded 1 for Black faces and 0 for others. Angry unit activation was centered.

^†p < .10.

^*p < .05.

^**p < .01.

^***p < .001.