Table 3.

Logistic regression models for the associations between attractiveness and the odds of arrest.

	Odds of arrest (N = 8792)		Odds of arrest (N = 8484)
	Coeff	OR	Coeff	OR
Predictor variables
Attractiveness	−.153	0.858*	−.112	0.894*
	(.043)		(.047)
Criminal involvement	—		.407	1.502*
			(.033)
Controls
Age	.002	1.002	.034	1.034*
	(.016)		(.017)
Sex	1.201	3.324*	1.045	2.843*
	(.172)		(.155)
Race	.153	1.166*	.142	1.152*
	(.062)		(.065)
SES	.468	1.597*	.497	1.644
	(.135)		(.146)

Note. OR = odds ratio; coeff = coefficient; SES = socioeconomic status.

Standard errors in parentheses.

*p < .05.